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

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

Summary What's Next?

Course Assessment

Predictive Data Analysis Exam

Predictive Data Analysis with Python

What is Pandas?

This lesson gives an introduction to the Pandas library of Python.

We'll cover the following...

- Pandas
  - Features of Pandas

Pandas