FreeCourseLab com Udemy - Data Analysis Bootcamp - 21 Real World Case Studies

1. 01 Course Introduction the Importance of Data Analysts/001 Course Introduction.mp497.16MB
2. 01 Course Introduction the Importance of Data Analysts/002 The Importance of Data Analyst.mp4122.8MB
3. 01 Course Introduction the Importance of Data Analysts/003 Why Data is the new Oil.mp486.53MB
4. 01 Course Introduction the Importance of Data Analysts/004 Making Sense of Buzz Words Data Science Big Data Machine Deep Learning.mp444.61MB
5. 01 Course Introduction the Importance of Data Analysts/005 The Roles in the Data World - Analyst Engineer Scientist Statistician DevOps.mp430.35MB
6. 02 Download Code and Slides and Setup Google Colab/007 Download Course Code Slides and Setup Google Colab for your iPython Notebooks.mp425.79MB
7. 03 Python Crash Course/008 Why use Python for Data Anakytics and Data Science.mp419.15MB
8. 03 Python Crash Course/009 Python - Basic Variables.mp427.14MB
9. 03 Python Crash Course/010 Python - ArrayLists and Dictionaries.mp456.35MB
10. 03 Python Crash Course/011 Python - Conditional Statements.mp430.53MB
11. 03 Python Crash Course/012 Python - Loops.mp436.29MB
12. 03 Python Crash Course/013 Python - Functions.mp422.2MB
13. 03 Python Crash Course/014 Python - Classes.mp439.57MB
14. 04 Pandas - Data Series and Manipulation/015 Introduction to Pandas.mp416.12MB
15. 04 Pandas - Data Series and Manipulation/016 Pandas 1 - Data Series.mp428.5MB
16. 04 Pandas - Data Series and Manipulation/017 Pandas 2A - DataFrames - Index Slice Stats Finding Empty cells Filtering.mp4131.11MB
17. 04 Pandas - Data Series and Manipulation/018 Pandas 2B - DataFrames - Index Slice Stats Finding Empty cells Filtering.mp448.6MB
18. 05 Pandas - Data Cleaning Aggregration/019 Pandas 3B - Data Cleaning - Alter ColomnsRows Missing Data String Operations.mp465.11MB
19. 05 Pandas - Data Cleaning Aggregration/020 Pandas 3A - Data Cleaning - Alter ColomnsRows Missing Data String Operations.mp4142.4MB
20. 05 Pandas - Data Cleaning Aggregration/021 Pandas 4 - Data Aggregation - GroupBy Map Pivot Aggreate Functions.mp4121.77MB
21. 06 Pandas - Feature Engineering JoinsMergeConcatenating/022 Pandas 5 - Feature Engineer Lambda and Apply.mp430.99MB
22. 06 Pandas - Feature Engineering JoinsMergeConcatenating/023 Pandas 6 - Concatenating Merging and Joinining.mp4101.26MB
23. 07 Pandas - Time Series Data/024 Pandas 7 - Time Series Data.mp462.45MB
24. 08 Advanced Pandas/025 Pandas 7 - ADVANCED Operations - Iterows Vectorization and Numpy.mp496.77MB
25. 08 Advanced Pandas/026 Pandas 8 - ADVANCED Operations - More Map Zip and Apply.mp428.78MB
26. 08 Advanced Pandas/027 Pandas 9 - Advanced Operations - Parallel Processing.mp430.68MB
27. 09 Map Visualizations/028 Map Visualizations with Plotly - Cloropeths from Scratch - USA and World.mp495.47MB
28. 09 Map Visualizations/029 Map Visualizations with Plotly - Heatmaps Scatter Plots and Lines.mp455.54MB
29. 10 Statistics for Data Analysts Visualizations/030 Introduction to Statistics.mp422.68MB
30. 10 Statistics for Data Analysts Visualizations/031 Descriptive Statistics - Why Statistical Knowledge is so Important.mp423.42MB
31. 10 Statistics for Data Analysts Visualizations/032 Descriptive Statistics 1 - Exploratory Data Analysis (EDA) Visualizations.mp497.93MB
32. 10 Statistics for Data Analysts Visualizations/033 Descriptive Statistics 2 - Exploratory Data Analysis (EDA) Visualizations.mp440.21MB
33. 10 Statistics for Data Analysts Visualizations/034 Sampling Averages Variance And How to lie and Mislead with Statistics.mp416.65MB
34. 10 Statistics for Data Analysts Visualizations/035 Variance Standard Deviation and Bessels Correction.mp460.73MB
35. 10 Statistics for Data Analysts Visualizations/036 Types of Variables - Quantitive and Qualitative.mp435.66MB
36. 10 Statistics for Data Analysts Visualizations/037 Frequency Distributions.mp423.24MB
37. 10 Statistics for Data Analysts Visualizations/038 Frequency Distributions Shapes.mp416.77MB
38. 10 Statistics for Data Analysts Visualizations/039 Analyzing Frequency Distributions - What is the Best Type of Wine Red or White.mp474.05MB
39. 10 Statistics for Data Analysts Visualizations/040 Covariance Correlation - Do Amazon Google know you better than anyone else.mp485.46MB
40. 10 Statistics for Data Analysts Visualizations/041 Sampling - Sample Sizes Confidence Intervals - What Can You Trust.mp463.23MB
41. 10 Statistics for Data Analysts Visualizations/042 Mean Mode and Median - Not as Simple As Youd Think.mp481.66MB
42. 10 Statistics for Data Analysts Visualizations/043 The Normal Distribution the Central Limit Theorem.mp425.68MB
43. 10 Statistics for Data Analysts Visualizations/044 Lying with Correlations Divorce Rates in Maine caused by Margarine Consumption.mp410.31MB
44. 10 Statistics for Data Analysts Visualizations/045 Z-Scores.mp450.69MB
45. 11 Probability Theory/046 Probability - An Introduction.mp49.69MB
46. 11 Probability Theory/047 Estimating Probability.mp429.02MB
47. 11 Probability Theory/048 Addition Rule.mp444.83MB
48. 11 Probability Theory/049 Permutations Combinations.mp443.15MB
49. 11 Probability Theory/050 Bayes Theorem.mp446.54MB
50. 12 Hypothesis Testing/051 Hypothesis Testing Introduction.mp417.6MB
51. 12 Hypothesis Testing/052 Statistical Significance.mp451.4MB
52. 12 Hypothesis Testing/053 Hypothesis Testing P Value.mp444.37MB
53. 12 Hypothesis Testing/054 Hypothesis Testing Pearson Correlation.mp433.07MB
54. 13 Google Data Studio - Introduction Setup/055 All about Google Data Studio.mp459.56MB
55. 13 Google Data Studio - Introduction Setup/056 Opening Google Data Studio and Uploading Data.mp442.45MB
56. 14 Google Data Studio - Your First Dashboard/057 Your First Dashboard Part 1.mp4100.6MB
57. 14 Google Data Studio - Your First Dashboard/058 Your First Dashboard Part 2.mp469.34MB
58. 14 Google Data Studio - Your First Dashboard/059 Creating New Fields.mp447.32MB
59. 15 Google Data Studio - Pivot Dynamic Tables (with Filters)/060 Pivot Tables.mp445.9MB
60. 15 Google Data Studio - Pivot Dynamic Tables (with Filters)/061 Dynamic Filtered Tables.mp420.82MB
61. 16 Google Data Studio - Scorecards and Time Comparison/062 Scorecards.mp434.31MB
62. 16 Google Data Studio - Scorecards and Time Comparison/063 Scorecards with Time Comparison.mp430.83MB
63. 17 Google Data Studio - Bar Charts Line Charts and Time Series Plots/064 Bar Charts.mp453.22MB
64. 17 Google Data Studio - Bar Charts Line Charts and Time Series Plots/065 Line Charts.mp446.8MB
65. 17 Google Data Studio - Bar Charts Line Charts and Time Series Plots/066 Time Series and Comparitive Time Series Plots.mp437.13MB
66. 18 Google Data Studio - Pie charts Donut Charts Treemaps Scatter Plots/067 Pie Charts Donut Charts and Tree Maps.mp429.69MB
67. 18 Google Data Studio - Pie charts Donut Charts Treemaps Scatter Plots/068 Scatter Plots.mp429.52MB
68. 19 Google Data Studio - Geographic Map Plots/069 Google Data Studio - Geographic Map Plots.mp452.14MB
69. 20 Google Data Studio - Bullet and Line Area Plots/070 Google Data Studio - Scatter Plots.mp441.03MB
70. 21 Google Data Studio - Sharing your Interactive Dashboards/071 Google Data Studio - Sharing your Interactive Dashboards.mp443.98MB
71. 22 Retail Sales Dashboard for Executives/072 Homework Project - Create Executive Sales Dashboard.mp421.05MB
72. 23 Introduction to Machine Learning/073 How Machine Learning enables Computers to Learn.mp422.49MB
73. 23 Introduction to Machine Learning/074 What is a Machine Learning Model.mp434.34MB
74. 23 Introduction to Machine Learning/075 Types of Machine Learning.mp447.3MB
75. 24 Linear Regressions/076 Linear Regression Introduction to Cost Functions and Gradient Descent.mp456.61MB
76. 24 Linear Regressions/077 Linear Regressions in Python from Scratch and using Sklearn.mp487.94MB
77. 24 Linear Regressions/078 Polynomial and Multivariate Linear Regression.mp453.69MB
78. 25 Classification - Logistic Regression SVM Decision Trees Random Forets KNN/079 Logistic Regression.mp473.92MB
79. 25 Classification - Logistic Regression SVM Decision Trees Random Forets KNN/080 Support Vector Machines (SVMs).mp438.98MB
80. 25 Classification - Logistic Regression SVM Decision Trees Random Forets KNN/081 Decision Trees and Random Forests the Gini Index.mp464.55MB
81. 25 Classification - Logistic Regression SVM Decision Trees Random Forets KNN/082 K-Nearest Neighbors (KNN).mp437.17MB
82. 26 Assessing Model Performance/083 Assessing Performance Confusion Matrix Precision and Recall.mp4149.53MB
83. 26 Assessing Model Performance/084 Understanding the ROC and AUC Curve.mp446.86MB
84. 26 Assessing Model Performance/085 What Makes a Good Model Regularization Overfitting Generalization Outliers.mp4122.81MB
85. 27 Neural Networks Overview/086 Introduction to Neural Networks.mp411.72MB
86. 27 Neural Networks Overview/087 Types of Deep Learning Algoritms CNNs RNNs LSTMs.mp449.51MB
87. 28 Unsupervised Learning/088 Introduction to Unsupervised Learning.mp431.84MB
88. 28 Unsupervised Learning/089 K-Means Clustering.mp465.19MB
89. 28 Unsupervised Learning/090 Choosing K Elbow Method Silhouette Analysis.mp453.74MB
90. 28 Unsupervised Learning/091 K-Means in Python - Choosing K using the Elbow Method Silhoutte Analysis.mp483.68MB
91. 29 Dimensionality Reduction/092 Principal Component Analysis.mp468.82MB
92. 29 Dimensionality Reduction/093 t-Distributed Stochastic Neighbor Embedding (t-SNE).mp438.57MB
93. 29 Dimensionality Reduction/094 PCA t-SNE in Python with Visualization Comparisons.mp435.95MB
94. 30 Case Study 1 - Airbnb Sydney Exploratory Data Analysis/096 Understanding the Problem Exploratory Data Analysis and Visualizations.mp4168.06MB
95. 31 Case Study 2 - Retail Product Sales Analytics/097 Data Cleaning and Preparation.mp480.91MB
96. 31 Case Study 2 - Retail Product Sales Analytics/098 Sales and Revenue Analysis.mp486.6MB
97. 31 Case Study 2 - Retail Product Sales Analytics/099 Analysis per Country Repeat Customers and Items.mp495.43MB
98. 32 Case Study 3 - Marketing Analytics - What Drives Ad Performance/100 Understanding the Problem Exploratory Data Analysis and Visualizations.mp464.88MB
99. 32 Case Study 3 - Marketing Analytics - What Drives Ad Performance/101 Data Preparation and Machine Learning Modeling.mp478.22MB
100. 33 Case Study 4 - Customer Clustering for Travel Agency Customers/102 Data Exploration Description.mp456.06MB
101. 33 Case Study 4 - Customer Clustering for Travel Agency Customers/103 Simple Exploratory Data Analysis and Visualizations.mp471.91MB
102. 33 Case Study 4 - Customer Clustering for Travel Agency Customers/104 Feature Engineering.mp476.44MB
103. 33 Case Study 4 - Customer Clustering for Travel Agency Customers/105 K-Means Clustering of Customer Data.mp4111.35MB
104. 33 Case Study 4 - Customer Clustering for Travel Agency Customers/106 Cluster Analysis.mp436.68MB
105. 35 Case Study 6 - Customer Lifetime Value (CLV)/108 Understanding the Problem Exploratory Data Analysis and Visualizations.mp454.84MB
106. 35 Case Study 6 - Customer Lifetime Value (CLV)/109 Customer Lifetime Value Modeling.mp453.91MB
107. 49 Case Study 20 - Predicting Insurance Premiums/123 Understanding the Problem Exploratory Data Analysis and Visualizations.mp485MB
108. 49 Case Study 20 - Predicting Insurance Premiums/124 Data Preparation and Machine Learning Modeling.mp4113.27MB
109. 50 Case Study 21 AB Testing/125 Understanding the Problem Exploratory Data Analysis and Visualizations.mp474.9MB
110. 50 Case Study 21 AB Testing/126 AB Test Result Analysis.mp440.35MB
111. 50 Case Study 21 AB Testing/127 AB Testing a Worked Real Life Example - Designing an AB Test.mp453.48MB
112. 50 Case Study 21 AB Testing/128 Statistical Power and Significance.mp446.99MB
113. 50 Case Study 21 AB Testing/129 Analysis of AB Test Resutls.mp457.34MB