Here are some of the top free resources to learn data science online, covering various aspects like Python, statistics, machine learning, and real-world projects:
π Courses & MOOCs
-
Harvard's CS50 Introduction to Computer Science
- Platform: edX
- Great for beginners in computer science, which is foundational for data science.
-
IBM Data Science Professional Certificate
- Platform: Coursera (Free to audit individual courses)
- Covers Python, SQL, data analysis, and more.
-
Googleβs Machine Learning Crash Course
- Practical, beginner-friendly ML course with interactive visualizations and exercises.
-
MIT OpenCourseWare β Introduction to Computational Thinking and Data Science
- Focuses on Python, algorithms, and real data applications.
π Interactive Learning Platforms
-
Kaggle Learn
- Hands-on tutorials on Python, Pandas, Machine Learning, Deep Learning, SQL, and more.
- Real-world datasets included.
-
DataCamp (Free Courses)
- While many are paid, some foundational courses are free.
-
freeCodeCamp β Data Analysis with Python
- Covers Numpy, Pandas, data visualization, and statistics.
π Mathematics & Statistics
-
Khan Academy β Statistics and Probability
- Beginner-friendly explanations of foundational statistical concepts.
-
StatQuest with Josh Starmer (YouTube)
- Crystal-clear videos on statistics and machine learning.
π§ Practice & Projects
- Compete on real-world problems, get experience with datasets, and see others' solutions.
- A curated list of free books, tutorials, tools, and datasets.
Would you like me to tailor a roadmap using these resources depending on your skill level or goals?