Discover the top 10 free data science courses with certificates available in Feb 2024

Data science is one of the most in-demand and lucrative skills in the 21st century. It involves collecting, analyzing, and interpreting large amounts of data to solve real-world problems and create value. Data scientists use various tools and techniques, such as programming, statistics, machine learning, and visualization, to extract insights and make predictions from data. Here are the 10 free data science courses with certificates that you can take in Feb 2024:

1. Data Science: Foundations using R by Harvard University on edX

 This course is part of the Professional Certificate in Data Science program, which consists of nine courses and a capstone project. In this course, you will learn the basics of data science, such as data manipulation, data visualization, and data analysis using R, a popular programming language for data science.

2. Master Python for Data Analysis with IBM's Course on Coursera

This course is part of the IBM Data Science Professional Certificate program, which consists of nine courses and a final project. In this course, you will learn how to analyze data using Python, a powerful and versatile programming language for data science.

3. Machine Learning with Stanford University's Course on Coursera

This course is one of the most popular and comprehensive courses on machine learning, a branch of data science that focuses on creating algorithms and systems that can learn from data and make predictions. In this course, you will learn the theory and practice of machine learning, such as supervised learning, unsupervised learning, neural networks, support vector machines, and more.

4. Deep Learning by deeplearning.ai on Coursera

This course is part of the Deep Learning Specialization program, which consists of five courses and a final project. In this course, you will learn the fundamentals and applications of deep learning, a branch of machine learning that uses multiple layers of artificial neural networks to learn from data and perform complex tasks.

5. Natural Language Processing by National Research University Higher School of Economics on Coursera

This course is part of the Advanced Machine Learning Specialization program, which consists of seven courses and a final project. In this course, you will learn the basics and applications of natural language processing, a branch of data science that deals with analyzing and generating natural language, such as text and speech.

6. Data Visualization with Tableau by University of California, Davis on Coursera

This course is part of the Data Visualization with Tableau Specialization program, which consists of five courses and a capstone project. In this course, you will learn how to create and communicate effective and engaging data visualizations using Tableau, software for data analysis and visualization.

7. Introduction to Data Engineering by Google Cloud on Coursera

 This course is part of the Data Engineering with Google Cloud Professional Certificate program, which consists of four courses and a final project. In this course, you will learn the basics of data engineering, such as data pipelines, data processing, data storage, and data quality.

8. Data Science Ethics by University of Michigan on edX

 This Data Science course is part of the Micro Master's Program in Statistics and Data Science, which consists of four courses and a final project. In this course, you will learn the ethical issues and challenges that arise in data science, such as privacy, fairness, accountability, and transparency.

9. Data Science for Social Good by the University of Chicago on Coursera

 This course is part of the Data Science for Social Good: Using Data to Improve Lives Specialization program, which consists of four courses and a capstone project. In this course, you will learn how to use data science to address social problems and create positive impacts, such as health, education, environment, and justice.

10. Data Science Capstone Project by Coursera Project Network

This course is a guided project that allows you to apply your data science skills and knowledge to a real-world problem or dataset of your choice. You will follow the steps of the data science process, such as data collection, data cleaning, data analysis, data visualization, and data communication.