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Predictive Data Analysis with Python
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Getting Started
What is Data Analysis?
Numpy for Python
What is NumPy?
NumPy Array Creation
NumPy Array Indexing
Transposing of NumPy Array
Processing NumPy Arrays
Challenge: Find Min and Max from a 2-D NumPy Array
Solution: Find Min and Max from a 2-D NumPy Array
Quiz
Pandas for Python
What is Pandas?
Series in Pandas
DataFrame in Pandas
Reindex Objects
Select and Drop Entries in Series
Select and Drop Entries in DataFrame
Sort and Rank in Pandas
Dealing with Missing Data
Additional Functions and Features
Challenge: Summing and Swapping
Solution: Summing and Swapping
Quiz
Statistics for Data Analysis
Statistical Features
Probability Distributions
Central Limit Theorem
Data Wrangling
Dealing with CSV Files
Merging Data
Reshaping Data
Mapping Data and Finding Duplicates
Replace and Rename
Finding Outliers in Data
Data Grouping
Data Aggregation
Split-Apply-Combine Technique
Challenge: Clean the Data
Solution: Clean the Data
Quiz
Visualizing the Data
Visualization Tools
Histogram Plots
Box Plots
Regression Plots
Heatmaps
Scatter and KDE Plots
Challenge: Visualizing Seaborn Datasets
Solution: Visualizing Seaborn Datasets
Quiz
Data Scraping
What is Scraping?
Exploring Selenium
Scraping Domains
Quiz
Project #1
Stock Market Analysis
Section 1: Price Trends
Section 2: Daily Returns
Section 3: Correlation in Stocks
Section 4: Risk Estimation
Section 5: Predicting Future Stock Behavior
Project #2
Customer Behavior Analysis
Section 1: Brand Analysis
Section 2: Customer Activity Analysis
Section 3: Identifying Famous Brands and Categories
Section 4: RFM Analysis
Conclusion
Summary
What's Next?
Course Assessment
Predictive Data Analysis Exam
What's Next?
What is the way forward?
We'll cover the following
Next step
Final thoughts
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