AI Features

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All LessonsFree Lessons (5)

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

Project

Stock Market Data Visualization Using Python

Conclusion

Course Assessment

Predictive Data Analysis Exam

Predictive Data Analysis with Python

Summary

This lesson gives a quick overview of the concepts discussed in this course.

We'll cover the following...

Topics covered in the course

Topics covered in the course

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