All Coursera Courses

Sequential Decisions builds from math and algorithms that can be understood and used by Coursera Students. This course will start from a consideration of the simplest type of data streams and then gradually advance to more complex types of data and more nuanced decisions being made on that data. Y

By the end of this course, learners will be able to build, train, and evaluate machine learning and deep learning models using Python, Scikit-learn, and TensorFlow. They will confidently preprocess datasets, apply classical algorithms, visualize insights, and design neural networks to solve real-wor

This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming skills to be

Advanced analytics teams don't rely on a single technique — they combine AI-driven optimization, causal inference, and probabilistic simulation to solve problems that simpler methods can't touch. In this course, you will build that multi-method capability. You will apply ensemble AI techniques and l

In this 2-hour project-based course, you will be able to : - Understand the Segmentation Dataset and you will write a custom dataset class for Image-mask dataset. Additionally, you will apply segmentation augmentation to augment images as well as its masks. For image-mask augmentation you will us

Do you want to know why data science has been labeled the sexiest profession of the 21st century? After taking this course, you will be able to answer this question, understand what data science is and what data scientists do, and learn about career paths in the field. The art of uncovering ins

In this 1-hour long project-based course, you will learn how to: 1) Set up a development environment incorporating ChatGPT, 2) Generate and integrate AI-assisted code into a Python project, 3) Debug and refine your application using AI guidance, and 4) Write comprehensive documentation with the help

Data Scientists, AI Researchers, Robotics Engineers, and others who can use Retrieval-Augmented Generation (RAG) can expect to earn entry-level salaries ranging from USD 93,386 to USD 110,720 annually, with highly experienced AI engineers earning as much as USD 172,468 annually (Source: ZipRecruiter

Decoding AI: A Deep Dive into AI Models and Predictions explores the significance of large datasets, demystifies generative artificial intelligence (AI), and challenges common media myths about AI. By defining key terms and exploring how systems “learn” from data, you will gain a baseline understand

This course dives into real-world data sourcing, including making web requests, web scraping, and integrating diverse data types from APIs, files, and databases. You'll learn to parse and structure data in formats like XML and JSON, and leverage object-oriented programming to create robust data mod

By completing this course, learners will be able to analyze structured datasets, apply Pivot Tables for meaningful summaries, design effective charts, interpret data using advanced visualization techniques, and perform dynamic calculations using Excel equations and intelligent analysis tools. This

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requi

Learn deep learning specialization with expert-led instruction. For experienced professionals.

Transform your data architecture skills with advanced dimensional modeling techniques that power enterprise-grade analytics systems. This course empowers data professionals to master the critical intersection of historical data tracking and dimensional model optimization. This Short Course was crea

The gold standard of ML education — by Andrew Ng.

This course will give you practical experience in working with real-world data, with applications to important policy issues in today’s society. Each week, you will learn specific data handling skills in Excel and use these techniques to analyse climate change data, with appropriate readings to prov

In this 2-hour long project, you will learn how to analyze a dataset for sentiment analysis. You will learn how to read in a PyTorch BERT model, and adjust the architecture for multi-class classification. You will learn how to adjust an optimizer and scheduler for ideal training and performance. In

This program offers a structured journey into the transformative world of AI-powered code understanding, quality assurance, and intelligent development workflows. Designed for developers, software engineers, and technical leads, this course empowers you to leverage cutting-edge AI tools for efficien

Did you know that hidden data anomalies can cascade through pipelines and corrupt entire dashboards, models, and business decisions? Finding the source of a data issue quickly is essential for maintaining trustworthy analytics and automated workflows. This Short Course was created to help professio

Master the mathematical and computational foundations of graph theory and network analysis in this comprehensive course for problem-solvers and analytical thinkers. Explore how graphs model real-world systems—such as social networks, transportation grids, communication systems, and biological pathwa

The course "Foundations of Probability and Random Variables" introduces fundamental concepts in probability and random variables, essential for understanding computational methods in computer science and data science. Through five comprehensive modules, learners will explore combinatorial analysis,

Build Practical Voice Apps: From Basics to Implementation is a beginner-level course designed to help developers create voice applications that users actually want to use. As voice AI transforms industries from healthcare to retail, the demand for skilled voice application developers continues to gr

Ready to unlock the power of distributed AI training and production-scale deployment? Modern machine learning demands infrastructure that can handle massive computational workloads while ensuring reliable, scalable service delivery. This Short Course was created to help ML and AI professionals acco

This course offers a streamlined approach to university-level calculus, tailored for engineers and scientists. We begin with a review of precalculus in the first module, followed by derivatives and integrals in the second and third modules. The fourth module introduces Taylor series, while the fifth

In this course, we’ll learn about more advanced machine learning methods that are used to tackle problems in the supply chain. We’ll start with an overview of the different ML paradigms (regression/classification) and where the latest models fit into these breakdowns. Then, we’ll dive deeper into so

Understand the foundations of probability and its relationship to statistics and data science.  We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events.  We’ll study discrete and continuous random variables and see how this fits with data coll

In this course, you'll continue developing your data-reporting skills in Crystal Reports by using Structured Query Language (SQL) statements to create and summarize report data, as well as create joins and subqueries. You'll also create more complex formulas by working with loops and arrays. These t

This is the fifth course in the IBM AI Enterprise Workflow Certification specialization.   You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. This course introduces you

Learn ai for everyone with expert-led instruction. Perfect for beginners.

Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will provide an intuitive understanding of foundational integral calculus, including integration by parts, area under a curve, and integral computation. It

In this course, you’ll discover how GenAI-powered tools can transform candidate screening by automating repetitive tasks, enhancing evaluations, and ensuring ethical hiring decisions. Through hands-on experience with custom GPTs, Gemini Gems, Power Automate, and AI-driven workflows, you’ll learn to

This course introduces deep learning and neural networks with the Keras library. In this course, you’ll be equipped with foundational knowledge and practical skills to build and evaluate deep learning models. You’ll begin this course by gaining foundational knowledge of neural networks, including

By the end of this course, learners will be able to analyze HR attrition data, evaluate key workforce factors, apply statistical techniques, select significant features, and build a predictive attrition model using R. This course provides a practical, end-to-end approach to HR analytics with a stro

In this 1-hour long project-based course, you will learn how to create interpretable machine learning applications on the example of two classification regression models, decision tree and random forestc classifiers. You will also learn how to explain such prediction models by extracting the most im

This course introduces you to the transformative potential of Generative AI (GenAI) in driving business process automation, empowering you to design intelligent workflows that enhance efficiency, productivity, and decision-making across various functions. Through interactive lessons and guided demo

In this course, you will learn next-level thinking about value creation with Dark Data, using a principled approach that demonstrates your ability to use dark data to add value to an end-deliverable.

Tired of spending hours looking for that one pesky bug that keeps messing up your results? This hands-on Alteryx course teaches you to audit and validate you data input and workflows, to get confidence in you output. You will learn to check input data files for potential errors, detect data loss wh

This course demystifies core data science concepts and techniques through engaging Python lessons and real datasets. You’ll gain practical experience working with the Python ecosystem, including pandas, NumPy, scikit-learn, and more, as you analyze authentic data and build meaningful applications fr

Artificial Intelligence, or AI, is transforming society in many ways. From speech recognition to self-driving cars, to the immense possibilities offered by generative AI. AI technology provides enterprises with the compute power, tools, and algorithms their teams need to do their life’s work.

This IBM course will equip you with the skills to implement, train, and evaluate generative AI models for natural language processing (NLP) using PyTorch. You will explore core NLP tasks, such as document classification, language modeling, and language translation, and gain a foundation in building

In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you

By the end of this course, learners will be able to explain the origins of NoSQL databases, evaluate their features and data models, compare ACID and BASE consistency approaches, apply workflow orchestration with Apache Oozie, and implement real-time stream processing using Apache Storm. They will a

This course dives into how AI-powered decision systems are designed, modeled, and governed. Built for professionals who turn analytics into real business impact, it guides you through engineering intelligent decision workflows from end to end. You’ll kick off by transforming business challenges int

In today's data-driven world, generating reports efficiently is a valuable skill for professionals across various industries. This course introduces beginners to the world of automated report generation using AI-powered tools and techniques. You will learn how to leverage the capabilities of artific

Learn generative ai with large language models with expert-led instruction. Build on existing knowledge.

This course covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project. The first phase of the course will include

The past decade has seen a vast increase in the amount of data available to biologists, driven by the dramatic decrease in cost and concomitant rise in throughput of various next-generation sequencing technologies, such that a project unimaginable 10 years ago was recently proposed, the Earth BioGen

In the final course of the statistical modeling for data science program, learners will study a broad set of more advanced statistical modeling tools. Such tools will include generalized linear models (GLMs), which will provide an introduction to classification (through logistic regression); nonpara

This course will help you learn the vocabulary and concepts necessary to understand- and use- Dark Data to create value for your organization.

This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow. - Recognize the NLP products and the solutions on Google Cloud. -

This beginner-friendly course on Convolutional Neural Networks (CNNs) equips you with essential skills to understand deep learning fundamentals and apply them to real-world image recognition tasks. Learn how CNNs power modern AI applications and gain practical experience through guided lab demos. Bu

This course delves into the various risks and concerns associated with Generative AI, including business model risks, inaccuracies in AI-generated content, data security, and privacy concerns. It emphasizes the importance of the CEO in understanding and addressing these risks. A significant part o

In this project, you'll serve as a data analyst at an online retail company helping interpret real-world data to help make key business decisions. Your task is to explore and analyze this dataset to gain insights into the store's sales trends, customer behavior, and popular products. Upon completi

This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.

Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.

Have you thought about creating a query that can be called several times to perform a routine task? Stored procedures offer this with a great advantage of efficiency. This project-based course, "Routines in SQL: Working with stored procedures in MS SQL Server" is intended for intermediate SQL user

Explore the fascinating world of generative models with a deep focus on diffusion models for high-quality image generation. You’ll begin by mastering the core principles of diffusion and then advance to the architectures that power modern text-to-image systems. Learn how these models transform rando

Learn natural language processing specialization with expert-led instruction. For experienced professionals.

Put the keystone in your Python Data Science skills by becoming proficient with Data Visualization and Modeling. This course is suited for intermediate programmers, who have some experience with NumPy and Pandas, that want to expand their skills for any career in data science. Whether you come to da

IBM's comprehensive data science certification program.

Knowledge graphs are used in development to structure complex data relationships, drive intelligent search functionality, and build powerful AI applications that can reason over different data types. Knowledge graphs can connect data from both structured and unstructured sources (databases, document

As leaders in your chosen field, you need to not only know how to ask the right questions but also answer them using data-based methods. Through this class, you will be able to get to the bottom of what you really want to know, describe the associated data related to that question, and visualize the

By the end of this course, learners will be able to analyze employee performance data, calculate performance-based increments, build and refine Pivot Tables, compare results across departments and locations, and evaluate budget deviations to support data-driven decisions. This course provides a pra

This comprehensive Foundations of Ethical Generative AI course equips you with the skills to build responsible, transparent, and regulation-ready AI solutions. Begin by mastering core AI ethics principles, understanding ethical concerns, and learning data privacy frameworks like GDPR. Progress into

Learn mlops — machine learning operations with expert-led instruction. For experienced professionals.

Learn data analysis with python with expert-led instruction. Build on existing knowledge.

Learn reinforcement learning specialization with expert-led content. Build advanced skills.

Learn data engineering on google cloud with expert-led instruction. For experienced professionals.

Learn applied data science with python with expert-led instruction. Build on existing knowledge.

Learn sql for data science with expert-led instruction. Perfect for beginners.

Duke University's statistics program using R.

By the end of this course, learners will be able to apply advanced Python techniques, implement client-server networking, develop chatbot applications, integrate databases, and optimize data analysis with NumPy. Through hands-on lessons, you will analyze datasets, design efficient programs, construc

This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI. No prior skills are needed to be successful in this course. In

Process SAR & Multispectral is a short course for learners who want to move beyond viewing satellite imagery and begin producing structured geospatial analysis. Designed for those with basic familiarity with maps and raster imagery, the course introduces practical techniques for interpreting and ana

This course offers students an opportunity to learn fundamentals of computation required to understand and analyze real world data. The course helps students to work with modern data structures, apply data cleaning and data wrangling operations. The course covers conceptual and practical application

"GenAI for Technology Consultants" is an immersive course designed to equip technology consultants with the knowledge and practical skills necessary to integrate Generative Artificial Intelligence (GenAI) into their daily tasks. Through the use of ChatGPT as the primary GenAI tool, participants will

This course starts with an overview of chatbot development and the architecture of ChatGPT. You will learn how to write prompts that improve the accuracy and usefulness of AI responses. Through practical exercises, you will use AI for tasks such as data analysis, code generation, translation, and co

In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences o

In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data. Using Tableau Public, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the vario

This course is designed for business and data professional seeking to learn the first technical phase of the data science process known as Extract, Transform and Load or ETL. Learners will be taught how to collect data from multiple sources so it is available to be transformed and cleaned and the

This course introduces you to one of the main types of modelling families of supervised Machine Learning: Regression. You will learn how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. This course also walks you through best

This course provides a comprehensive overview of data storage and management approaches for big data. Learners will explore structured, semi-structured, and unstructured data formats, compare SQL and NoSQL database technologies, and implement data lakes and data warehouses. The course includes worki

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course offers a comprehensive foundation in machine learning, takin

Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier.

Take action on business automation and innovation using no-code AI platforms. This course delivers hands-on frameworks for selecting, implementing, and tracking AI-powered process improvements—from data collection to workflow automation to stakeholder reporting. By emphasizing regional nuances in th

Learn data visualization with python with expert-led instruction. Perfect for beginners.

Learn advanced machine learning on google cloud with expert-led instruction. For experienced professionals.

Learn causal inference and discovery with expert-led content. Build advanced skills.

Did you know that multimodal AI systems often fail not because of weak models, but because their underlying data pipelines cannot reliably unify text, image, audio, and tabular features? A strong multimodal infrastructure is the foundation of advanced AI. This Short Course was created to help profe

Learn bayesian statistics with expert-led content. Build advanced skills.

Learn text mining and analytics with expert-led content. Build advanced skills.

Learn how to use Google BigQuery to enhance your data engineering and machine learning skills in this practical, instructor-led course. Taught by experienced cloud architect and author Dan Sullivan, you’ll work with BigQuery’s serverless architecture, advanced SQL, and data warehousing features to e

By the end of this course, learners will be able to build, evaluate, and optimize machine learning models using Python. They will develop the ability to preprocess data with NumPy and Pandas, visualize insights using Matplotlib, and implement workflows with scikit-learn pipelines. Learners will appl

This comprehensive Generative AI in Data Analytics course equips you with the skills to optimize data workflows, automate analysis, and generate actionable insights using AI. Begin by mastering the four types of analytics, descriptive, diagnostic, predictive, and prescriptive, and explore how GenAI

In this 1-hour long project-based course, you will learn how to Navigate and register on the Skills.AI platform effectively, Create infographics and visualize data using AI tools, and Interact with visual reports for enhanced insights.

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you will gain a deep understanding of Micro

This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to reverse-engineer the relationships between data tables and the pitfalls to avoid when joining them together.

This Guided Project, Introduction to D3.js is for those who want to learn about D3.js which is a JavaScript library for producing SVG-based, dynamic, interactive data visualizations in web browsers. In this 2-hour-long project-based course, you will get to know different SVG elements, build SVG-bas

Welcome to Building a Machine Learning Solution, where you'll journey through the complete lifecycle of a machine learning project. This capstone course covers critical steps from problem definition to deployment and maintenance. You'll learn to define clear problem statements, collect and preproces

This is the fourth course in the specialization and is aimed at those with basic knowledge of statistics, probability and linear algebra. It will prove to be especially interesting for those with datasets that are being used to make decisions: either business, medical, or technology based.

By the end of this course, learners will be able to define the fundamentals of forecasting, classify forecasting methods, apply regression and decomposition techniques, and implement advanced models like ARIMA and SARIMA to accurately predict time-dependent data. This comprehensive course equips pa

In this course, you will learn the process of Extract, Transform and Load or ETL. You will identify how to collect data from and configure multiple sources in Power BI and prepare and clean data using Power Query. You’ll also have the opportunity to inspect and analyze ingested data to ensure data i

Are you ready to master one of machine learning’s most powerful and interpretable algorithms? This course will guide you through the complete journey of understanding, building, and evaluating decision tree models using Java, the enterprise-standard programming language. You’ll start by exploring th

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Embark on a comprehensive learning journey sta

Learn introduction to big data with expert-led content. Perfect for beginners.

Learn recommender systems and web mining with expert-led content. Build advanced skills.

Data governance fundamentals.

This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modelin

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will gain practical skills in data analytics using Ex

In today's data-driven world, the ability to analyse and interpret complex data is crucial for making informed, strategic decisions. This comprehensive online course will empower you with advanced statistical techniques to transform raw data into actionable insights, using Microsoft Excel. Through

As part of the GenAI Academy, this course explores how Generative Artificial Intelligence (GenAI) is transforming the field of data engineering. This course serves as a primer where learners will discover the key capabilities of GenAI and uncover practical strategies to leverage these powerful tools

Optimize ML Models: Hyperparameter Tuning gives you the practical skills to move from “good enough” models to models that perform reliably at scale. You’ll learn how default hyperparameters shape model behavior, how computational complexity affects training cost, and why structured tuning methods ou

With the proliferation of connected objects (computers, tablets, watches, etc.), huge masses of data are generated every second. This Big Data has led to the emergence of a data economy, where data is the main source of competitive advantage for companies. In this sense, data and its processing tool

This course teaches you how to evaluate and optimize machine learning models for reliable performance on edge devices. You’ll learn how to move beyond overall accuracy by analyzing model behavior across meaningful data slices—such as device type or environmental conditions—to uncover hidden robustne

Welcome to this project-based course on Analyzing Box Office Data with Seaborn and Python. In this course, you will be working with the The Movie Database (TMDB) Box Office Prediction data set. The motion picture industry is raking in more revenue than ever with its expansive growth the world over.

By the end of this course, learners will be able to import and manage datasets in SPSS, apply descriptive statistics, analyze correlations, construct linear and multiple regression models, and interpret logistic and multinomial regression outputs. Through hands-on practice with real-world case studi

In this 1-hour long guided project, you will learn how to use the "What-If" Tool (WIT) in the context of training and testing machine learning prediction models. In particular, you will learn a) how to set up a machine learning application in Python by using interactive Python notebook(s) on Google'

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Data visualization is a crucial skill in the

In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to perform statistical hypothesis testing. You will create statistical process control charts for both continuous and discrete data using R softwar

In this course, you’ll discover how Generative AI can enhance risk detection, automate monitoring, and improve decision-making. Through hands-on projects and real-world case studies, you’ll gain practical expertise to apply AI-driven strategies in complex risk environments. Whether you’re a risk pro

Microsoft Fabric represents a paradigm shift in enterprise analytics, unifying data engineering, data warehousing, and business intelligence into a single, cohesive SaaS ecosystem. This course is your definitive guide to mastering that ecosystem, moving beyond theoretical concepts to the practical i

This beginner-friendly course explores how Generative AI revolutionizes code migration and optimization across the software development lifecycle. Learn to automate language conversion, framework shifts, version upgrades, and performance tuning using tools like GitHub Copilot. Understand and compare

In this course, you’ll discover how to call functions to perform useful actions on your data. You’ll also learn how to write conditional statements to tell the computer how to make decisions based on your instructions. And you’ll practice writing clean code that can be easily understood and reused b

Data visualization is a powerful tool for exploring and communicating insights from data effectively. Seaborn, a Python visualization library built on top of Matplotlib, offers a wide range of features for creating attractive and informative statistical plots. This course provides a comprehensive ov

By the end of this course, learners will be able to apply linear regression techniques, interpret statistical outputs, and implement predictive models using SPSS and Excel. Through a blend of foundational theory and real-world applications, students will gain hands-on experience in analyzing dataset

Learners will analyze real-world datasets, interpret statistical outputs, evaluate relationships among variables, and apply advanced SPSS techniques to support data-driven decision-making. By the end of this course, learners will confidently move from raw data to meaningful insights using industry-r

Enhance Marketing with AI: Tools for Optimal Campaigns is an intermediate-level course designed for marketing professionals ready to harness artificial intelligence for transformative campaign results. In today's data-driven marketing landscape, AI tools are no longer optional—they're essential for

In this 2-hour long project-based course, you will learn how to retrieve data from tables in a database using SQL SELECT statement with SQL Aggregate functions. The aggregate functions we will consider in this project are COUNT, SUM, MIN, MAX and AVG. Aggregate functions are used to summarize data f

This course is best suited for individuals who have a technical background in mathematics/statistics/computer science/engineering pursuing a career change to jobs or industries that are data-driven such as finance, retain, tech, healthcare, government and many more. The opportunity is endless. Th

This course provides a practical and applied introduction to logistic regression and supervised learning using IBM SPSS Statistics. Designed for learners seeking to build analytical skills in predictive modeling, the course emphasizes both conceptual understanding and tool-based execution. Through

Gradient-weighted Class Activation Mapping (Grad-CAM), uses the class-specific gradient information flowing into the final convolutional layer of a CNN to produce a coarse localization map of the important regions in the image. In this 2-hour long project-based course, you will implement GradCAM on

AI tools are already changing how we work, and they will continue to do so for years. Over the next few years, we’re likely going to see AI used in ways we’ve never imagined and are not anticipating. This course will guide you as you lead your organization to adopt AI in a way that’s not unethical,

Master the Art of Building Intelligent Python Agents That Think, Reason, and Act Unlock the full potential of Python for creating autonomous AI agents that solve complex problems without constant human direction. In this comprehensive course on AI Agents and Agentic AI with Python & Generative AI,

This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offer a good starting point for a career in data analysis using Microsoft Power BI. This course will help you prepare for the Microsoft PL-300 exam.

The "Data Collection and Integration" course provides students with comprehensive techniques for gathering data from diverse sources, including files, relational databases, web pages, and APIs. Participants will gain practical experience in collecting and integrating data for further processing and

This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML

The modern data landscape demands professionals who can seamlessly bridge the gap between data lakes and data warehouses. This course transforms your ability to architect, implement, and optimize lakehouse platforms that deliver both flexibility and performance. This Short Course was created to hel

Welcome to this course on applied natural language processing in engineering. This course is designed to provide you with an in-depth understanding of NLP, a pivotal area of artificial intelligence that empowers computers to comprehend, interpret, and generate human language. Throughout this course,

Learners will analyze Generative AI deployment environments, evaluate platform and vendor options, and apply best practices to integrate, deploy, and manage GenAI systems at scale. By the end of this course, learners will be able to design deployment architectures, assess operational trade-offs, and

Transform your email marketing success with data-driven list hygiene practices that boost engagement and deliverability. This Short Course was created to help marketing professionals accomplish systematic list cleaning and performance evaluation. By completing this course, you'll be able to identify

Financial analysts spend hours manually reformatting data feeds—time that could be spent on analysis. This intermediate course teaches you to recognize data structures and automate transformations using Power Query, turning repetitive cleanup into one-click refreshes. You'll start by classifying str

Learners who complete this course will be able to identify Splunk’s role in Operational Intelligence, demonstrate installation and configuration, apply search commands to filter and analyze data, construct advanced visualizations, and correlate events for actionable insights. This comprehensive pro

This course is designed to quite literally ‘make a science’ out of something at the heart of society: social networks. Humans are natural network scientists, as we compute new network configurations all the time, almost unaware, when thinking about friends and family (which are particular forms of s

This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI. In this course, you'll learn how to use Power BI to create and m

Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes. Consequently, they are bound to hire mor

Course Description: Take your machine learning skills to the next level by learning how to deploy real-world ML applications using Java. In this hands-on course, you’ll use tools like Spring Boot, Jenkins, GitHub Actions, and RL4J to integrate, automate, and monitor ML systems in enterprise environm

Welcome to this project-based course, SQL CASE Statements. In this project, you will learn how to use SQL CASE statements to query tables in a database. By the end of this 2-hour long project, you will be able to write simple CASE statements to retrieve the desired result from a database. Then, we w

Data Management Basics: Dictionaries, Quality, and Communication is an entry-level course designed for professionals, analysts, and team members who want to ensure their organization’s data is clear, reliable, and actionable. In today’s data-driven workplace, mistakes and misunderstandings can quiet

This is a self-paced lab that takes place in the Google Cloud console. In this lab you use Machine Learning (ML) to analyze the public NCAA dataset and predict NCAA tournament brackets.

In this course, you'll elevate your analytical capabilities with advanced statistical methods and testing procedures. You'll learn to conduct hypothesis tests, design and analyze A/B tests, and automate analytical workflows. Working with real employee and medical data, you'll gain hands-on experienc

This hands-on course equips learners with the foundational knowledge and practical skills to implement K-Means clustering for unsupervised machine learning using the R programming language. Designed for those with a basic understanding of R and statistics, the course guides learners through the proc

This course is designed to provide a comprehensive foundation in Power BI, equipping learners with the skills to model, analyze, and visualize data efficiently. Participants will begin by exploring calculated columns and tables, understanding their use cases in data modeling and performance optimiza

Mathematics for Computer Science course is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and co

In this short, 1 hour long guided project, we will use a Convolutional Neural Network - the popular VGG16 model, and we will visualize various filters from different layers of the CNN. We will do this by using gradient ascent to visualize images that maximally activate specific filters from differen

Measure Vector Similarity: Cosine, Dot-Product, and Euclidean Distance is an intermediate course for machine learning engineers and data scientists looking to master how similarity metrics impact information retrieval, recommendation systems, and classification tasks. In a world where the right comp

Vector Databases for Machine Learning: A Comprehensive Guide - Integrate Embeddings and Chroma is an intermediate-level course designed for machine learning engineers and AI practitioners aiming to build robust, automated data ingestion pipelines. In modern AI applications, the success of vector sea

Did you know you can automate R scripts to facilitate model deployment and enhance workflow efficiency in healthcare analytics? This Guided Project is designed for data scientists, healthcare analysts, and professionals in healthcare technology who want to harness the power of automation in R. In

This course teaches you the essential skills required to process and prepare data, model, and evaluate machine learning models. Data processing is a fundamental step in extracting valuable insights from raw data and is crucial in professional data science and machine learning careers. By mastering

This is a shortened, executive summary of our comprehensive program, Navigating Generative for Leaders. Start your journey in this accelerated 4-hour course. If you need to go deeper your progress will carry over into our longer program. Created by Coursera's CEO, this course is your quick-start gu

Can AI be used to help us to create effective copy that actually converts? In this 2-hour project-based course, you'll discover how to leverage ChatGPT, a cutting-edge AI tool, to produce compelling content for an eco-friendly water bottle. As brands compete fiercely for consumer attention, the abil

This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general reg

Learn the foundations of data science by exploring, transforming, and visualizing data with R. In this course, you’ll develop core skills in exploratory data analysis and statistical thinking including: using visualizations to uncover patterns, identifying trends, and generating insights. You’ll ga

Este curso ofrece una revisión fundamental del cálculo diferencial, centrada en funciones y derivadas, con ejemplos y aplicaciones prácticas. Nuestro propósito es ofrecer una base sólida sobre funcion

Learn how to automate real-world business tasks using n8n, DeepSeek.ai, and prompt engineering—without writing code. This course helps you create intelligent, no-code workflows that extract, process,

This course provides an introduction to complex analysis which is the theory of complex functions of a complex variable. We will start by introducing the complex plane, along with the algebra and geom

In this course, you will learn about responsible artificial intelligence (AI) practices. In the first section of this course, you will be introduced to what responsible AI is. You will learn how to

Optimize Deep Learning: Tune PyTorch Models is an intermediate course for deep learning practitioners ready to move beyond off-the-shelf training and gain granular control over their models. Standard

In this structured series of hands-on guided projects, we will master the fundamentals of data analysis and manipulation with Pandas and Python. Pandas is a super powerful, fast, flexible and easy to

Generative AI Foundations is a comprehensive course designed to provide learners with a strong foundation in Generative Artificial Intelligence, covering key principles, core methodologies, and real-w

By completing this course, learners will be able to design data models, configure clusters, build custom analyzers, and construct powerful queries in Elasticsearch. They will also master the use of Cl

The course "Responsible AI and Ethics" explores the ethical, social, and technical aspects of artificial intelligence (AI) and machine learning (ML). It focuses on understanding bias in both human and

Este es el sexto curso del Certificado de análisis computacional de datos de Google. En estos cursos obtendrás las habilidades necesarias para solicitar empleos de analista de datos de nivel introduct

In this 2-hour long project-based course, you will learn how to design effectively an infographic with infogram.com, adding line, bar and map charts, and connecting the data story with text and visual

In this course, we will investigate the ethical challenges in Artificial Intelligence (AI) systems. The focus of this course is on preparing students with the knowledge and practical approaches necess

In this course, you'll discover the main features and benefits of the Python programming language, and how Python can help power your data analysis. Python is an object-oriented programming language b

The Building a Generative AI Ready Organization course provides components needed for a successful organizational adoption of Generative AI. This course focuses on business leaders and other decision-

Marketing data often requires categorization or labeling. In today’s age, marketing data can also be very big, or larger than what humans can reasonably tackle. In this course, students learn how to u

Get up and running with Cursor AI, the next-gen developer tool designed to boost productivity with powerful AI-assisted workflows. In this hands-on course, you’ll start by installing Cursor AI and exp

The "Data Processing and Manipulation" course provides students with a comprehensive understanding of various data processing and manipulation concepts and tools. Participants will learn how to handle

This course is designed to provide a comprehensive foundation in Power BI, equipping learners with the skills to visualize, analyze effectively, and present data insights. Participants will explore a

Did you know that 90% of multimodal AI system failures can be traced back to data quality issues that could have been prevented with proper validation techniques? This Short Course was created to h

This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning

O objetivo deste curso é aproveitar a flexibilidade e a facilidade de uso do TensorFlow 2.x e do Keras para criar, treinar e implantar modelos de machine learning. Você aprenderá sobre a hierarquia d

I contenuti di questo corso sono pensati per permettere agli utilizzatori di Tableau di migliorare le proprie capacità sull’uso del tool, a un livello intermedio. Spesso i dati provengono da fonti di

Este curso te brindará las herramientas necesarias para identificar las bases y condiciones al implementar proyectos de datos en organizaciones del sector público o privado. A partir de un análisis

This course offers a clear pathway to undertsand advanced tokenization and sentiment analysis—two core pillars of modern NLP. You'll learn how to convert raw text into structured input using subword,

En este curso podrás identificar los diferentes elementos de la gobernanza de datos, gobernanza democrática y el liderazgo en una organización basada en datos. Además, podrás reconocer los principios

Este es el séptimo curso del Certificado de análisis computacional de datos de Google. En estos cursos obtendrás las habilidades necesarias para solicitar empleos de analista de datos de nivel introdu

Использование Excel широко распространено в отрасли. Это очень мощный инструмент анализа данных, и почти все крупные и малые предприятия используют Excel в своей повседневной работе. Это вводный курс

By completing this course, learners will be able to apply generative AI tools for personalized coaching, analyze AI-assisted research and writing workflows, and evaluate strategic applications of AI i

Ce cours est le septième du Google Data Analytics Certificate. Ces cours vous permettront d’acquérir les compétences dont vous avez besoin pour postuler les emplois d’analyste de données de niveau jun

Google データアナリティクス プロフェッショナル認定プログラムの 3 つめのコースです。このコースでは、1～2 つめのコースで学んだトピックの理解を深めながら、表計算ソフトや SQL などのツールを使って目的に合ったデータを抽出し活用する方法、データの整理と保護の方法など、より実践的なデータアナリティクススキルを身につけるための新しいトピックについても学びます。 また、現職の Google

En este curso, aprenderás a usar las ponderaciones de las encuestas para estimar estadísticas descriptivas (como medias y totales) y cantidades más complejas (como parámetros de modelos para regresion

Este curso forma parte de una secuencia con la que se propone un acercamiento a la Matemática Preuniversitaria que prepara para la Matemática Universitaria. En él se asocia un significado real con el

ستتعلم في هذه الدورة كيفية البرمجة بلغة R وكيفية استخدامها لتحليل البيانات بصورة فعالة. ستتعلم كيفية تثبيت البرامج اللازمة لبيئة البرمجة الإحصائية وتكوينها وكيفية وصف مفاهيم لغة البرمجة العامة إذ يتم

Ce cours d'introduction aux probabilités a la même contenu que le cours de tronc commun de première année de l'École polytechnique donné par Sylvie Méléard. Le cours introduit graduellement la notion

Ders çok değişkenli fonksiyonlardaki iki derslik dizinin ikincisidir. Birinci ders türev ve entegral kavramlarını geliştirmekte ve bu konulardaki problemleri temel çözme yöntemlerini sunmaktadır. Bu d

The Data Science Companion provides an introduction to data science. You will gain a quick background in data science and core machine learning concepts, such as regression and classification. You’ll

Ce cours présente une approche pratique du workflow de ML avec une étude de cas dans laquelle une équipe est confrontée à plusieurs exigences métier et cas d'utilisation de ML. Cette équipe doit compr

You will need to join or merge two or more data sets at different points in your work as a data enthusiast. The dplyr package offers very sophisticated functions to help you achieve the join operation