Business Analyst Full Course 2024 - From Fundamentals to Advanced Techniques

Business Analyst Full Course 2024 - From Fundamentals to Advanced Techniques

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Data Visualization-Pie Chart

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Data Visualization-Pie Chart

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Classroom Contents

Business Analyst Full Course 2024 - From Fundamentals to Advanced Techniques

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  1. 1 Introduction
  2. 2 Introduction to Business Analytics
  3. 3 Who is a Business Analyst
  4. 4 How to become BA
  5. 5 Business Analyst vs Data Analyst
  6. 6 Data Cleaning
  7. 7 Functions
  8. 8 Types of Functions
  9. 9 Sort and Filter
  10. 10 Lookup function
  11. 11 Conditional Formatting
  12. 12 Pivot Tables
  13. 13 Data Visualization-Pie Chart
  14. 14 Bar chart
  15. 15 Line Chart
  16. 16 Tree Chart
  17. 17 Map Chart
  18. 18 SQL-Introduction
  19. 19 Installing SQL
  20. 20 Datatypes in MySQL
  21. 21 SQL Project
  22. 22 Python Numpy
  23. 23 Initializing Numpy Array
  24. 24 Numpy-Shape
  25. 25 Numpy Intersection and Difference
  26. 26 Numpy Array Mathematics
  27. 27 Numpy Matrix
  28. 28 Numpy Matrix Multiplication
  29. 29 Numpy Save and Load
  30. 30 Python Pandas
  31. 31 Pandas Data-structures
  32. 32 Series Object from Dictionary
  33. 33 Changing Index Position
  34. 34 Basic Math Operation on Series
  35. 35 Pandas Dataframe
  36. 36 Dataframe in-built Functions
  37. 37 iloc and loc function
  38. 38 Dropping columns
  39. 39 Matplotlib Line Plot
  40. 40 Bar Plot
  41. 41 Scatter Plot
  42. 42 Histogram
  43. 43 Seaborn Line Plot
  44. 44 Seaborn Bar Plot
  45. 45 Seaborn Scatter plot
  46. 46 Seaborn Histogram/DistPlot
  47. 47 Types of Statistical Analysis
  48. 48 Inferential Statistics
  49. 49 Descriptive Statistics
  50. 50 Measures of Central Tendency
  51. 51 Measures of Variability
  52. 52 Measures of Skewness
  53. 53 Analysis of Variance
  54. 54 Terminologies in ANOVA
  55. 55 Hypothesis Testing
  56. 56 ANOVA vs T-test
  57. 57 Introduction to EDA
  58. 58 Types of EDA
  59. 59 Boxplot in EDA
  60. 60 Advantages of EDA
  61. 61 EDA on IPL Dataset
  62. 62 Introduction to Data Visualization
  63. 63 Demo - Data Visualization
  64. 64 Regression
  65. 65 Demo-Simple Linear Regression
  66. 66 Logistic Regression
  67. 67 Demo- Logistic Regression
  68. 68 Bagging
  69. 69 Random Forest
  70. 70 Demo- Random Forest
  71. 71 Introduction to Time Series
  72. 72 Components of Time Series
  73. 73 Model Evaluation
  74. 74 Introduction to Tableau
  75. 75 Tableau Dashboards
  76. 76 Impact of Generative AI in Business Analyst
  77. 77 Case Studies on Business Analytics
  78. 78 Summary

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