S/N | Course Name | Rating | Time to Complete | Prerequisites |
1. | Introduction to Data Science using Python | 4.5/5 | 2hr 32min | None |
2. | What is Data Science? | 4.3/5 | 40min | None |
3. | Learn NumPy Fundamentals (Python Library for Data Science) | 4.7/5 | 1hr 49min | None |
4. | Essentials of Data Science | 4.3/5 | 1hr 41min | Basic statistics and math |
5. | Data Science, Machine Learning, Data Analysis, Python & R | 4.1/5 | 8hr 7min | None |
6. | Python For Data Science | 4.4/5 | 3hr 55min | None |
7. | Python for Data Science – Great Learning | 4.3/5 | 1hr 55min | None |
8. | Python Crash Course for Data Science and Machine Learning | 4.6/5 | 1hr 39min | None |
9. | Introduction to Data Science for Complete Beginners | 4.4/5 | 1hr 56min | None |
10. | Intro to Data for Data Science | 4.5/5 | 1hr 1min | None |
11. | Introduction to Python For Data Science 2021 | 4.5/5 | 57min | None |
12. | Data Science with Analogies, Algorithms and Solved Problems | 4.0/5 | 1hr 19min | Basic mathematics |
13. | Learn Data Science With R Part 1 of 10 | 3.9/5 | 8hr 42min | Basic Maths,Stats and Programing |
14. | Maths for Data Science by DataTrained | 3.6/5 | 55min | 10th class Level math |
15. | Data Science for Business Leaders: Machine Learning Defined | 4.4/5 | 1hr 58min | None |
16. | Data Science: Intro To Deep Learning With Python In 2021 | 4.3/5 | 1hr 54min | Python Basics |
17. | How To Build a Career in Data Analytics and Data Science | 4.2/5 | 1hr 39min | None |
18. | NumPy for Data Science Beginners: 2021 | 4.2/5 | 1hr 51min | Python Basics |
19. | 50 Must-Know Concepts, Algorithms in Machine Learning | 4.0/5 | 54min | Machine Learning basics |
20. | SQL Crash Course for Aspiring Data Scientist | 4.5/5 | 1hr 24min | None |
21. | Intro To Machine Learning Course With Python: Internship | 4.2/5 | 40min | None |
22. | Explore, Track, Predict the ISS in Realtime With Python | 4.9/5 | 1hr 13min | Python basics |
23. | Implementation of ML Algorithm Using Python | 4.4/5 | 48min | Python basics |
24. | SQL for Data Analysis: Solving real-world problems with data | 4.5/5 | 1hr 57min | None |
25. | Bootcamp for KNIME Analytics Platform | 4.5/5 | 4hr 13min | None |
26. | Learn Python: Python in 80 Minutes for Beginners | 4.5/5 | 1hr 20min | None |
27. | Introduction to Spacy for Natural Language Processing | 4.5/5 | 1hr 34min | Python and Machine Learning basics |
28. | Learn Data Analysis using Pandas and Python | 4.2/5 | 1hr 39min | None |
29. | AI foundations for business professionals | 4.4/5 | 2hr | None |
30. | WEKA – Data Mining with Open Source Machine Learning Tool | 3.5/5 | 3hr 30min | Basic maths |
31. | Introduction to Data Analysis for Government | 4.4/5 | 1hr 12min | You should be a government employee |
32. | R Basics – R Programming Language Introduction | 4.5/5 | 4hr 6min | Basics of statistics and data structure |
33. | Find Actionable Insights using Machine Learning and XGBoost | 4.5/5 | 37min | Python basics |
34. | Association Mining for Machine Learning | 4.6/5 | 1hr 48min | None |
35. | Master Data Analysis with Python – Intro to Pandas | 4.6/5 | 5hr 9min | Python Basics |
36. | Logistic Regression Practical Case Study | 4.7/5 | 1hr 4min | The basic theory of Logistic Regression |
37. | Acumen Presents: Prasad Setty of Google on People Analytics | 4.5/5 | 35min | None |
38. | Planning for Data Collection | 4.3/5 | 30min | None |
39. | Augmented Data Visualization with Machine Learning | 4.6/5 | 3hr 15min | Basic Understanding of Statistics & Business Analysis |
40. | Python for Data Analysis | 4.4/5 | 1hr 10min | Python basics |
41. | Polynomial Regression, R, and ggplot | 4.8/5 | 1hr 5min | Basic R programming |
42. | Deep Learning Prerequisites: The Numpy Stack in Python V2 | 4.6/5 | 1hr 59min | Linear Algebra, Probability, and Python Programming |
43. | Artificial Neural Network for Regression | 4.7/5 | 1hr 11min | Deep Learning Basics |
44. | Modern Data Visualization with Oracle Analytics Cloud | 4.4/5 | 3hr 54min | Basic Understanding of Reports and Analysis |
45. | R, ggplot, and Simple Linear Regression | 4.6/5 | 2hr 14min | None |
46. | Fundamentals Data Analysis & Decision Making Models – Theory | 4.0/5 | 31min | None |
47. | Baseball Data Wrangling with Vagrant, R, and Retrosheet | 4.7/5 | 2hr 10min | R Programming basics |
48. | Data Visualization in Python Masterclass™ for Data Scientist | 4.4/5 | 1hr 48min | Python basics |
49. | Big Data Analysis With Pandas Data Frame | 4.6/5 | 1hr 43min | Python basics |
50. | Learn Data Cleaning with Python | 4.1/5 | 50min | Python basics |
51. | Tableau Fundamentals for Aspiring Data Scientists | 4.2/5 | 1hr 58min | None |
52. | Statistics literacy for non-statisticians | 4.7/5 | 1hr 36min | None |
53. | Python for linear algebra (for absolute beginners) | 4.8/5 | 1hr 49min | None |
54. | Microsoft Excel – Basic Data Visualization in Excel | 4.4/5 | 1hr 1min | Basic understanding of Excel formulas |
55. | Practical Deep Learning Projects | 4.9/5 | 1hr 54min | Machine Learning basics |
56. | Big Data and Hadoop Essentials | 4.2/5 | 43min | None |
57. | Python AI and Machine Learning for Production & Development | 4.7/5 | 1hr 43min | Python Basics |
58. | The Ultimate Python and Pandas Data Analysis Course | 4.2/5 | 1hr 1min | Python Basics |
59. | Data Visualization with Excel – Crash Course | 4.4/5 | 33min | None |
60. | Learn Statistical Data Analysis with Python | 4.4/5 | 1hr 2min | Python basics |
61. | Executive Data Storytelling | 4.4/5 | 30min | None |
62. | Data Visualization | 4.5/5 | 1hr 10min | None |
63. | Excel Data Visualization for Business Analysts | 4.3/5 | 1hr 12min | Excel basics |
64. | Introduction to R | 4.4/5 | 10hr 4min | Basic understanding of maths and statistics |
65. | Data Warehouse basics for absolute beginners in 30 mins | 4.5/5 | 34min | Basic Database Understanding |
66. | Excel Data Validation For beginners | 4.6/5 | 1hr 23min | Microsoft Excel basics |
67. | R and RStudio for Beginners – A Quick Introduction | 4.5/5 | 1hr 2min | None |
68. | Training Sets, Test Sets, R, and ggplot | 4.7/5 | 1hr 30min | Basic understanding of linear and polynomial regression. |
69. | Introduction to Bayesian Statistics | 4.7/5 | 1hr 19min | Understanding of probability basics. |
70. | Microsoft Excel Pivot Tables – The Beginner Course | 4.6/6 | 50min | Excel basics |
71. | Learn Keras: Build 4 Deep Learning Applications | 4.3/5 | 1hr 29min | Python basics |
72. | Learn R for Business Analytics from Basics | 3.8/5 | 1hr 43min | None |
73. | Baseball Database Queries with SQL and dplyr | 4.5/5 | 3hr 2min | R Basics |
74. | CatBoost vs XGBoost – Quick Intro and Modeling Basics | 4.6/5 | 50min | Some Python and Modeling experience |
75. | Genetic Algorithm for Machine Learning | 4.7/5 | 1hr 32min | None |