Learn Data Analysis From Scratch | Mukesh Ranjan | Skillshare

# Learn Data Analysis From Scratch

#### Mukesh Ranjan, Learn Everything Step By Step

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81 Lessons (11h 24m)
• 1. Course Introduction

12:06
• 2. Course Pre Requisite

4:28
• 3. PART I - Ipython Interpreter

6:15
• 4. PART I - Jupyter Notebook

12:24
• 5. PART I - Python Refresher - Basic DataTypes

13:33
• 6. PART I - Python Refresher - Collection Types Lists

15:18
• 7. PART I - Python Refresher - Collection Types Dictionaries

6:23
• 8. PART I - Python Refresher - Collection Types Sets

6:35
• 9. PART I - Python Refresher - Collection Types Tuples

7:31
• 10. PART I - Python Refresher - Collection Types Functions

13:57
• 11. PART I - Python Refresher - Classes And Objects

12:43
• 12. PART I - Numpy Core Concept - What Is Numpy And Why To Use Numpy

3:39
• 13. PART I - Numpy Core Concept - Array Revisited

14:55
• 14. PART I - Numpy Core Concept - Ways To Create Arrays In Numpy

18:05
• 15. PART I - Numpy Core Concept - Numpy Array Internal

12:46
• 16. PART I - Numpy Core Concept - DataTypes And Casting

8:29
• 17. PART I - Numpy Core Concept - Slicing And Indexing Numpy Arrays

11:45
• 18. PART I - Numpy Core Concept - Numpy Array Operations

10:39
• 19. PART I - Numpy Core Concept - Broadcasting

6:50
• 20. PART I - Numpy Core Concept - Vectorization

6:29
• 21. PART I - Pandas Core Concept - Pandas For Data Analysis

2:27
• 22. PART I - Pandas Core Concept - What is Pandas

2:56
• 23. PART I - Pandas Core Concept - Creating DataFrame in Pandas

9:14
• 24. PART I - Pandas Core Concept - DataFrames Basics

17:12
• 25. PART I - Pandas Core Concept - Handling Missing Data

14:00
• 26. PART I - Pandas Core Concept - GroupBy

14:28
• 27. PART I - Pandas Core Concept - Aggregation

5:45
• 28. PART I - Pandas Core Concept - Transform

8:53
• 29. PART I - Pandas Core Concept - Window Functions

8:32
• 30. PART I - Pandas Core Concept - Filter

3:58
• 31. PART I - Pandas Core Concept - Join Merge And Concat

15:57
• 32. PART I - Pandas Core Concept - Apply Method

3:54
• 33. PART I - Pandas Core Concept - DataFrame Reshape

6:09
• 34. PART I - Pandas Core Concept - Calculate Frequency Distribution

2:54
• 35. PART II - Data Analysis Core Concepts Introduction

2:39
• 36. PART II - Data Analysis Core Concepts - What is Data

2:56
• 37. PART II - Data Analysis Core Concepts - All About DataSet

5:21
• 38. PART II - Data Analysis Core Concepts - Types Of Variables DataTypes

12:29
• 39. PART II - Descriptive Statistics Concepts Types Of Statistics

4:38
• 40. PART II - Data Analysis Core Concepts - Understand Normal Distribution

5:41
• 41. PART II - Data Analysis Core Concepts - Central Tendency (Mean Median Mode)

3:47
• 42. PART II - Data Analysis Core Concepts - Measure Of Variablility

5:33
• 43. PART II - Data Analysis Core Concepts - Z Score Standardized Score

2:31
• 44. PART II - Data Analysis Core Concepts - Modality Skewness Kurtosis

10:05
• 45. PART III - Data Visualization Core Concept - Matplotlib Introduction

5:23
• 46. PART III - Data Visualization Core Concept - Matplotlib Architecture

5:33
• 47. PART III - Data Visualization Core Concept - Parameters Of Plot

10:19
• 48. PART III - Data Visualization Core Concept - Seaborn Plot Overview

10:09
• 49. PART III - Data Visualization Core Concept - Types Of Plot By Purpose Introduction

6:04
• 50. PART III - Plot Type - Correlation Scatter - Plot

18:37
• 51. PART III - Plot Type - Correlation - Scatter Plot With Best Fit Line

10:23
• 52. PART III - Plot Type - Correlation - Counts Plot

4:34
• 53. PART III - Plot Type - Correlation - Distribution Marginal Boxplot

12:17
• 54. PART III - Plot Type - Correlation - Correlogram Heatmap

7:16
• 55. PART III - Plot Type - Correlation - Pairwise Plot

5:35
• 56. PART III - Plot Type - Deviation - Diverging Bars

10:17
• 57. PART III - Plot Type - Deviation - Diverging Dot Plot

8:05
• 58. PART III - Plot Type - Ranking - Ordered Bar Plot

13:41