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种子名称： [FreeCourseLab.com] Udemy - Data Analysis Bootcamp - 21 Real World Case Studies
文件类型： 视频
文件数目： 113个文件
文件大小： 6.18 GB
收录时间： 2021-11-30 23:57
已经下载： 3次
资源热度： 180
最近下载： 2024-5-29 20:42

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[FreeCourseLab.com] Udemy - Data Analysis Bootcamp - 21 Real World Case Studies.torrent

01 Course Introduction the Importance of Data Analysts/001 Course Introduction.mp497.16MB

01 Course Introduction the Importance of Data Analysts/002 The Importance of Data Analyst.mp4122.8MB

01 Course Introduction the Importance of Data Analysts/003 Why Data is the new Oil.mp486.53MB

01 Course Introduction the Importance of Data Analysts/004 Making Sense of Buzz Words Data Science Big Data Machine Deep Learning.mp444.61MB

01 Course Introduction the Importance of Data Analysts/005 The Roles in the Data World - Analyst Engineer Scientist Statistician DevOps.mp430.35MB

02 Download Code and Slides and Setup Google Colab/007 Download Course Code Slides and Setup Google Colab for your iPython Notebooks.mp425.79MB

03 Python Crash Course/008 Why use Python for Data Anakytics and Data Science.mp419.15MB

03 Python Crash Course/009 Python - Basic Variables.mp427.14MB

03 Python Crash Course/010 Python - ArrayLists and Dictionaries.mp456.35MB

03 Python Crash Course/011 Python - Conditional Statements.mp430.53MB

03 Python Crash Course/012 Python - Loops.mp436.29MB

03 Python Crash Course/013 Python - Functions.mp422.2MB

03 Python Crash Course/014 Python - Classes.mp439.57MB

04 Pandas - Data Series and Manipulation/015 Introduction to Pandas.mp416.12MB

04 Pandas - Data Series and Manipulation/016 Pandas 1 - Data Series.mp428.5MB

04 Pandas - Data Series and Manipulation/017 Pandas 2A - DataFrames - Index Slice Stats Finding Empty cells Filtering.mp4131.11MB

04 Pandas - Data Series and Manipulation/018 Pandas 2B - DataFrames - Index Slice Stats Finding Empty cells Filtering.mp448.6MB

05 Pandas - Data Cleaning Aggregration/019 Pandas 3B - Data Cleaning - Alter ColomnsRows Missing Data String Operations.mp465.11MB

05 Pandas - Data Cleaning Aggregration/020 Pandas 3A - Data Cleaning - Alter ColomnsRows Missing Data String Operations.mp4142.4MB

05 Pandas - Data Cleaning Aggregration/021 Pandas 4 - Data Aggregation - GroupBy Map Pivot Aggreate Functions.mp4121.77MB

06 Pandas - Feature Engineering JoinsMergeConcatenating/022 Pandas 5 - Feature Engineer Lambda and Apply.mp430.99MB

06 Pandas - Feature Engineering JoinsMergeConcatenating/023 Pandas 6 - Concatenating Merging and Joinining.mp4101.26MB

07 Pandas - Time Series Data/024 Pandas 7 - Time Series Data.mp462.45MB

08 Advanced Pandas/025 Pandas 7 - ADVANCED Operations - Iterows Vectorization and Numpy.mp496.77MB

08 Advanced Pandas/026 Pandas 8 - ADVANCED Operations - More Map Zip and Apply.mp428.78MB

08 Advanced Pandas/027 Pandas 9 - Advanced Operations - Parallel Processing.mp430.68MB

09 Map Visualizations/028 Map Visualizations with Plotly - Cloropeths from Scratch - USA and World.mp495.47MB

09 Map Visualizations/029 Map Visualizations with Plotly - Heatmaps Scatter Plots and Lines.mp455.54MB

10 Statistics for Data Analysts Visualizations/030 Introduction to Statistics.mp422.68MB

10 Statistics for Data Analysts Visualizations/031 Descriptive Statistics - Why Statistical Knowledge is so Important.mp423.42MB

10 Statistics for Data Analysts Visualizations/032 Descriptive Statistics 1 - Exploratory Data Analysis (EDA) Visualizations.mp497.93MB

10 Statistics for Data Analysts Visualizations/033 Descriptive Statistics 2 - Exploratory Data Analysis (EDA) Visualizations.mp440.21MB

10 Statistics for Data Analysts Visualizations/034 Sampling Averages Variance And How to lie and Mislead with Statistics.mp416.65MB

10 Statistics for Data Analysts Visualizations/035 Variance Standard Deviation and Bessels Correction.mp460.73MB

10 Statistics for Data Analysts Visualizations/036 Types of Variables - Quantitive and Qualitative.mp435.66MB

10 Statistics for Data Analysts Visualizations/037 Frequency Distributions.mp423.24MB

10 Statistics for Data Analysts Visualizations/038 Frequency Distributions Shapes.mp416.77MB

10 Statistics for Data Analysts Visualizations/039 Analyzing Frequency Distributions - What is the Best Type of Wine Red or White.mp474.05MB

10 Statistics for Data Analysts Visualizations/040 Covariance Correlation - Do Amazon Google know you better than anyone else.mp485.46MB

10 Statistics for Data Analysts Visualizations/041 Sampling - Sample Sizes Confidence Intervals - What Can You Trust.mp463.23MB

10 Statistics for Data Analysts Visualizations/042 Mean Mode and Median - Not as Simple As Youd Think.mp481.66MB

10 Statistics for Data Analysts Visualizations/043 The Normal Distribution the Central Limit Theorem.mp425.68MB

10 Statistics for Data Analysts Visualizations/044 Lying with Correlations Divorce Rates in Maine caused by Margarine Consumption.mp410.31MB

10 Statistics for Data Analysts Visualizations/045 Z-Scores.mp450.69MB

11 Probability Theory/046 Probability - An Introduction.mp49.69MB

11 Probability Theory/047 Estimating Probability.mp429.02MB

11 Probability Theory/048 Addition Rule.mp444.83MB

11 Probability Theory/049 Permutations Combinations.mp443.15MB

11 Probability Theory/050 Bayes Theorem.mp446.54MB

12 Hypothesis Testing/051 Hypothesis Testing Introduction.mp417.6MB

12 Hypothesis Testing/052 Statistical Significance.mp451.4MB

12 Hypothesis Testing/053 Hypothesis Testing P Value.mp444.37MB

12 Hypothesis Testing/054 Hypothesis Testing Pearson Correlation.mp433.07MB

13 Google Data Studio - Introduction Setup/055 All about Google Data Studio.mp459.56MB

13 Google Data Studio - Introduction Setup/056 Opening Google Data Studio and Uploading Data.mp442.45MB

14 Google Data Studio - Your First Dashboard/057 Your First Dashboard Part 1.mp4100.6MB

14 Google Data Studio - Your First Dashboard/058 Your First Dashboard Part 2.mp469.34MB

14 Google Data Studio - Your First Dashboard/059 Creating New Fields.mp447.32MB

15 Google Data Studio - Pivot Dynamic Tables (with Filters)/060 Pivot Tables.mp445.9MB

15 Google Data Studio - Pivot Dynamic Tables (with Filters)/061 Dynamic Filtered Tables.mp420.82MB

16 Google Data Studio - Scorecards and Time Comparison/062 Scorecards.mp434.31MB

16 Google Data Studio - Scorecards and Time Comparison/063 Scorecards with Time Comparison.mp430.83MB

17 Google Data Studio - Bar Charts Line Charts and Time Series Plots/064 Bar Charts.mp453.22MB

17 Google Data Studio - Bar Charts Line Charts and Time Series Plots/065 Line Charts.mp446.8MB

17 Google Data Studio - Bar Charts Line Charts and Time Series Plots/066 Time Series and Comparitive Time Series Plots.mp437.13MB

18 Google Data Studio - Pie charts Donut Charts Treemaps Scatter Plots/067 Pie Charts Donut Charts and Tree Maps.mp429.69MB

18 Google Data Studio - Pie charts Donut Charts Treemaps Scatter Plots/068 Scatter Plots.mp429.52MB

19 Google Data Studio - Geographic Map Plots/069 Google Data Studio - Geographic Map Plots.mp452.14MB

20 Google Data Studio - Bullet and Line Area Plots/070 Google Data Studio - Scatter Plots.mp441.03MB

21 Google Data Studio - Sharing your Interactive Dashboards/071 Google Data Studio - Sharing your Interactive Dashboards.mp443.98MB

22 Retail Sales Dashboard for Executives/072 Homework Project - Create Executive Sales Dashboard.mp421.05MB

23 Introduction to Machine Learning/073 How Machine Learning enables Computers to Learn.mp422.49MB

23 Introduction to Machine Learning/074 What is a Machine Learning Model.mp434.34MB

23 Introduction to Machine Learning/075 Types of Machine Learning.mp447.3MB

24 Linear Regressions/076 Linear Regression Introduction to Cost Functions and Gradient Descent.mp456.61MB

24 Linear Regressions/077 Linear Regressions in Python from Scratch and using Sklearn.mp487.94MB

24 Linear Regressions/078 Polynomial and Multivariate Linear Regression.mp453.69MB

25 Classification - Logistic Regression SVM Decision Trees Random Forets KNN/079 Logistic Regression.mp473.92MB

25 Classification - Logistic Regression SVM Decision Trees Random Forets KNN/080 Support Vector Machines (SVMs).mp438.98MB

25 Classification - Logistic Regression SVM Decision Trees Random Forets KNN/081 Decision Trees and Random Forests the Gini Index.mp464.55MB

25 Classification - Logistic Regression SVM Decision Trees Random Forets KNN/082 K-Nearest Neighbors (KNN).mp437.17MB

26 Assessing Model Performance/083 Assessing Performance Confusion Matrix Precision and Recall.mp4149.53MB

26 Assessing Model Performance/084 Understanding the ROC and AUC Curve.mp446.86MB

26 Assessing Model Performance/085 What Makes a Good Model Regularization Overfitting Generalization Outliers.mp4122.81MB

27 Neural Networks Overview/086 Introduction to Neural Networks.mp411.72MB

27 Neural Networks Overview/087 Types of Deep Learning Algoritms CNNs RNNs LSTMs.mp449.51MB

28 Unsupervised Learning/088 Introduction to Unsupervised Learning.mp431.84MB

28 Unsupervised Learning/089 K-Means Clustering.mp465.19MB

28 Unsupervised Learning/090 Choosing K Elbow Method Silhouette Analysis.mp453.74MB

28 Unsupervised Learning/091 K-Means in Python - Choosing K using the Elbow Method Silhoutte Analysis.mp483.68MB

29 Dimensionality Reduction/092 Principal Component Analysis.mp468.82MB

29 Dimensionality Reduction/093 t-Distributed Stochastic Neighbor Embedding (t-SNE).mp438.57MB

29 Dimensionality Reduction/094 PCA t-SNE in Python with Visualization Comparisons.mp435.95MB

30 Case Study 1 - Airbnb Sydney Exploratory Data Analysis/096 Understanding the Problem Exploratory Data Analysis and Visualizations.mp4168.06MB

31 Case Study 2 - Retail Product Sales Analytics/097 Data Cleaning and Preparation.mp480.91MB

31 Case Study 2 - Retail Product Sales Analytics/098 Sales and Revenue Analysis.mp486.6MB

31 Case Study 2 - Retail Product Sales Analytics/099 Analysis per Country Repeat Customers and Items.mp495.43MB

32 Case Study 3 - Marketing Analytics - What Drives Ad Performance/100 Understanding the Problem Exploratory Data Analysis and Visualizations.mp464.88MB

32 Case Study 3 - Marketing Analytics - What Drives Ad Performance/101 Data Preparation and Machine Learning Modeling.mp478.22MB

33 Case Study 4 - Customer Clustering for Travel Agency Customers/102 Data Exploration Description.mp456.06MB

33 Case Study 4 - Customer Clustering for Travel Agency Customers/103 Simple Exploratory Data Analysis and Visualizations.mp471.91MB

33 Case Study 4 - Customer Clustering for Travel Agency Customers/104 Feature Engineering.mp476.44MB

33 Case Study 4 - Customer Clustering for Travel Agency Customers/105 K-Means Clustering of Customer Data.mp4111.35MB

33 Case Study 4 - Customer Clustering for Travel Agency Customers/106 Cluster Analysis.mp436.68MB

35 Case Study 6 - Customer Lifetime Value (CLV)/108 Understanding the Problem Exploratory Data Analysis and Visualizations.mp454.84MB

35 Case Study 6 - Customer Lifetime Value (CLV)/109 Customer Lifetime Value Modeling.mp453.91MB

49 Case Study 20 - Predicting Insurance Premiums/123 Understanding the Problem Exploratory Data Analysis and Visualizations.mp485MB

49 Case Study 20 - Predicting Insurance Premiums/124 Data Preparation and Machine Learning Modeling.mp4113.27MB

50 Case Study 21 AB Testing/125 Understanding the Problem Exploratory Data Analysis and Visualizations.mp474.9MB

50 Case Study 21 AB Testing/126 AB Test Result Analysis.mp440.35MB

50 Case Study 21 AB Testing/127 AB Testing a Worked Real Life Example - Designing an AB Test.mp453.48MB

50 Case Study 21 AB Testing/128 Statistical Power and Significance.mp446.99MB

50 Case Study 21 AB Testing/129 Analysis of AB Test Resutls.mp457.34MB