data science Courses
Browse the best data science short courses from top providers worldwide.
Machine Learning Specialization
The gold standard of ML education — by Andrew Ng.
Deep Learning Specialization
Learn deep learning specialization with expert-led instruction. For experienced professionals.
GenAI for Talent Acquisition: Smarter Candidate Screening
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
Interpretable Machine Learning Applications: Part 1
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
Value Creation with Dark Data
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.
Data Science: Machine Learning
Learn data science: machine learning with expert-led instruction. For experienced professionals.
Natural Language Processing Specialization
Learn natural language processing specialization with expert-led instruction. For experienced professionals.
Statistics and Data Science MicroMasters
Learn statistics and data science micromasters with expert-led instruction. For experienced professionals.
Tableau 2026 A-Z: Hands-On Tableau Training
Learn tableau 2026 a-z: hands-on tableau training with expert-led instruction. Perfect for beginners.
SQL for Data Science
Learn sql for data science with expert-led instruction. Perfect for beginners.
Power BI — The Complete Masterclass
Learn power bi — the complete masterclass with expert-led instruction. Perfect for beginners.
Machine Learning A-Z: AI, Python & R
Learn machine learning a-z: ai, python & r with expert-led instruction. Build on existing knowledge.
Data Science A-Z: Real-Life Data Science Exercises
Learn data science a-z: real-life data science exercises with expert-led instruction. Perfect for beginners.
Applied Data Science with Python
Learn applied data science with python with expert-led instruction. Build on existing knowledge.
Fundamentals of Visualization with Tableau
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
Data Science Decisions in Time: Using Data Effectively
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
LLM Fine-Tuning
Master LLM fine-tuning techniques with Simplilearn and earn a certificate to showcase your advanced AI skills.
Master Machine Learning with TensorFlow: Basics to Advanced
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
AI Optimization & Experimental Methods
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
Introduction to Clinical Data Science
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
Deep Learning with PyTorch : Image Segmentation
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
Data Visualization with D3.js
Create stunning data visualizations with D3.js in this beginner course. Earn a certificate from Coursera for Business.
Apache Kafka for Data Streaming
Master data streaming with Apache Kafka in Treehouse's advanced course and earn a certificate.
What is Data Science?
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
Software Development with ChatGPT: Generating Code with AI
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
Build RAG Applications: Get Started
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
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
Data Science Fundamentals Part 1: Unit 2
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
Analyze & Visualize Data Using Advanced Excel
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
Code Free Data Science
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
Neural Networks and Deep Learning
Comprehensive course on neural networks and deep learning.
Advanced Machine Learning Techniques
Master advanced machine learning methods.
Data Science and Big Data Analytics
Harness big data with industry-leading tools.
Data Science and Machine Learning Capstone
Capstone course to apply data science skills on real projects.
Star Schemas & Track Changes
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
Sentiment Analysis with Deep Learning using BERT
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
Doing Economics: Measuring Climate Change
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
AI Ethics and Responsible AI
Explore ethical considerations and responsibilities in AI with this beginner course from Domestika. Certificate included.
Generative AI Tools for Modern Software Engineering
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
AI Ethics and Responsible AI
Explore ethical frameworks and societal impacts of AI in this essential beginner course from Codecademy.
Trace and Fix Data Anomalies
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
AutoML Tools
Streamline machine learning processes with AutoML tools in Udacity's advanced course and earn a professional certificate.
Foundations of Probability and Random Variables
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,
Graphs and Networks
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
GPU Clusters & Containers
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
PyTorch Deep Learning
Build deep learning models using PyTorch with this beginner course. Ideal for newcomers to deep learning. Certificate included.
GA4 Implementation with Google Tag Manager
This course transforms how you approach digital analytics by taking you beyond the basics and into the professional implementation, measurement, and intelligence systems that power data-driven organizations. You'll learn how to leverage Google Analytics 4 (GA4), Google Tag Manager (GTM), and Looker
Voice AI: Introduction to Building Voice Applications
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
Calculus for Engineers
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
Advanced AI Techniques for the Supply Chain
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