The Data Science Course 2018 Complete Data Science Bootcamp
Isi Folder / Files :
1. Part 1 Introduction
10. Statistics - Descriptive Statistics
11. Statistics - Practical Example Descriptive Statistics
12. Statistics - Inferential Statistics Fundamentals
13. Statistics - Inferential Statistics Confidence Intervals
14. Statistics - Practical Example Inferential Statistics
15. Statistics - Hypothesis Testing
16. Statistics - Practical Example Hypothesis Testing
17. Part 3 Introduction to Python
18. Python - Variables and Data Types
19. Python - Basic Python Syntax
2. The Field of Data Science - The Various Data Science Disciplines
20. Python - Other Python Operators
21. Python - Conditional Statements
22. Python - Python Functions
23. Python - Sequences
24. Python - Iterations
25. Python - Advanced Python Tools
26. Part 4 Advanced Statistical Methods in Python
27. Advanced Statistical Methods - Linear regression
28. Advanced Statistical Methods - Multiple Linear Regression
29. Advanced Statistical Methods - Logistic Regression
3. The Field of Data Science - Connecting the Data Science Disciplines
30. Advanced Statistical Methods - Cluster Analysis
31. Advanced Statistical Methods - K-Means Clustering
32. Advanced Statistical Methods - Other Types of Clustering
33. Part 5 Mathematics
34. Part 6 Deep Learning
35. Deep Learning - Introduction to Neural Networks
36. Deep Learning - How to Build a Neural Network from Scratch with NumPy
37. Deep Learning - TensorFlow Introduction
38. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks
39. Deep Learning - Overfitting
4. The Field of Data Science - The Benefits of Each Discipline
40. Deep Learning - Initialization
41. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules
42. Deep Learning - Preprocessing
43. Deep Learning - Classifying on the MNIST Dataset
44. Deep Learning - Business Case Example
45. Deep Learning - Conclusion
5. The Field of Data Science - Popular Data Science Techniques
6. The Field of Data Science - Popular Data Science Tools
7. The Field of Data Science - Careers in Data Science
8. The Field of Data Science - Debunking Common Misconceptions
9. Part 2 Statistics
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