我们的专家评审员团队在筛选大量数据并聆听数小时视频后，列出了10 个最佳在线 数据科学 培训、课程、班级、资格认证、教程和方案的清单。
10 个最佳在线 数据科学 课程、培训、班级和指南
| 课程名称 | 注册学生（人数） | 评论（数） |
|---|---|---|
| 1. Machine Learning A-Z™: Hands-On Python & R In Data Science 最佳之选 | 739081+ | 139622+ |
| 2. Python for Data Science and Machine Learning Bootcamp | 422087+ | 94257+ |
| 3. The Data Science Course 2021: Complete Data Science Bootcamp | 363039+ | 85060+ |
| 4. R Programming A-Z™: R For Data Science With Real Exercises! | 198543+ | 38085+ |
| 5. Data Science A-Z™: Real-Life Data Science Exercises Included | 185570+ | 28853+ |
| 6. “Machine Learning, Data Science and Deep Learning with Python” | 141336+ | 23954+ |
| 7. Statistics for Data Science and Business Analysis | 92904+ | 19886+ |
| 8. Python A-Z™: Python For Data Science With Real Exercises! | 122712+ | 19162+ |
| 9. Data Science and Machine Learning Bootcamp with R | 65487+ | 12564+ |
| 10. Introduction to Machine Learning for Data Science | 44607+ | 8637+ |
1. Machine Learning A-Z™: Hands-On Python & R In Data Science 由 “Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, SuperDataScience Support” 教授 Udemy 课程 最佳之选
Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
在撰写本文时，已有超过 739081+人参加了此课程，并留下了 139622+ 条评论。
2. Python for Data Science and Machine Learning Bootcamp 由 Jose Portilla 教授 Udemy 课程
“Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!”
在撰写本文时，已有超过 422087+人参加了此课程，并留下了 94257+ 条评论。
3. The Data Science Course 2021: Complete Data Science Bootcamp 由 “365 Careers, 365 Careers Team” 教授 Udemy 课程
“Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning”
在撰写本文时，已有超过 363039+人参加了此课程，并留下了 85060+ 条评论。
4. R Programming A-Z™: R For Data Science With Real Exercises! 由 “Kirill Eremenko, SuperDataScience Team” 教授 Udemy 课程
“Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2”
在撰写本文时，已有超过 198543+人参加了此课程，并留下了 38085+ 条评论。
5. Data Science A-Z™: Real-Life Data Science Exercises Included 由 “Kirill Eremenko, SuperDataScience Team” 教授 Udemy 课程
“Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!”
在撰写本文时，已有超过 185570+人参加了此课程，并留下了 28853+ 条评论。
6. “Machine Learning, Data Science and Deep Learning with Python” 由 “Sundog Education by Frank Kane, Frank Kane” 教授 Udemy 课程
“Complete hands-on machine learning tutorial with data science, Tensorflow, artificial intelligence, and neural networks”
在撰写本文时，已有超过 141336+人参加了此课程，并留下了 23954+ 条评论。
7. Statistics for Data Science and Business Analysis 由 “365 Careers, 365 Careers Team” 教授 Udemy 课程
“Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis”
在撰写本文时，已有超过 92904+人参加了此课程，并留下了 19886+ 条评论。
8. Python A-Z™: Python For Data Science With Real Exercises! 由 “Kirill Eremenko, SuperDataScience Team” 教授 Udemy 课程
“Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization”
在撰写本文时，已有超过 122712+人参加了此课程，并留下了 19162+ 条评论。
9. Data Science and Machine Learning Bootcamp with R 由 Jose Portilla 教授 Udemy 课程
Learn how to use the R programming language for data science and machine learning and data visualization!
在撰写本文时，已有超过 65487+人参加了此课程，并留下了 12564+ 条评论。
10. Introduction to Machine Learning for Data Science 由 David Valentine 教授 Udemy 课程
“A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.”
在撰写本文时，已有超过 44607+人参加了此课程，并留下了 8637+ 条评论。