1. Introduction to Data Analytics by Google on Coursera This free course from Google provides a comprehensive introduction to the field of data analytics. You'll learn about the different stages of the data analytics process, from data collection and cleaning to analysis and visualization. The course also covers some of the essential tools and techniques used in data analytics, such as SQL and Python.
2. The Data Science Specialization by Johns Hopkins University on Coursera This specialization from Johns Hopkins University is a more comprehensive program that covers the entire data science lifecycle, from data collection and cleaning to analysis, modeling, and communication. The specialization includes five courses, and it's a great option if you're looking to gain a deep understanding of data science.
3. Data Analysis with Python by IBM on Coursera This course from IBM teaches you the fundamentals of data analysis using Python. You'll learn how to use Python libraries like pandas and NumPy to clean, manipulate, and analyze data. The course also covers data visualization with libraries like Matplotlib and Seaborn.
4. Introduction to Data Science using Python by Microsoft on edX This course from Microsoft provides a gentle introduction to data science using Python. You'll learn about the basics of data analysis, including data cleaning, manipulation, and visualization. The course also covers some of the fundamental concepts of machine learning.
5. Data Analytics with Python by The Hong Kong University of Science and Technology (HKUST) on edX This course from HKUST covers the fundamentals of data analysis using Python. You'll learn how to use Python libraries like pandas and NumPy to clean, manipulate, and analyze data. The course also covers data visualization with libraries like Matplotlib and Seaborn.
6. Data Analysis Fundamentals by University of California, San Diego on edX This course from UC San Diego provides a foundation in data analysis using Python.
You'll learn about the different stages of the data analysis process, from data collection and cleaning to analysis and visualization. The course also covers some of the essential tools and techniques used in data analytics, such as SQL and Git.
7. Data Science for Everyone by University of Michigan on edX This course from the University of Michigan is a gentle introduction to data science.
You'll learn about the different stages of the data science process, from data collection and cleaning to analysis and communication. The course also covers some of the essential tools and techniques used in data science, such as Python and R.
8. Introduction to Statistics by MIT OpenCourseware This free course from MIT covers the fundamentals of statistics, which is a foundation for data analysis. You'll learn about probability, hypothesis testing, and regression analysis. The course is a bit more challenging than some of the other courses on this list, but it's a great option if you want to build a strong foundation in statistics.
9. Calculus for the Life Sciences by Harvard University on edX This free course from Harvard University covers the basics of calculus, which is another important foundation for data analysis.
You'll learn about differentiation, integration, and applications of calculus to real-world problems. The course is a bit more challenging than some of the other courses on this list, but it's a great option if you want to build a strong foundation in calculus.
10. Linear Algebra by MIT OpenCourseware This free course from MIT covers the basics of linear algebra, which is another important foundation for data analysis. You'll learn about vectors, matrices, and applications of linear algebra to real-world problems.
The course is a bit more challenging than some of the other courses on this list, but it's a great option if you want to build a strong foundation in linear algebra.