Data Analytics in Python
INTERACTIVE COURSE

Data Analytics in Python

Intermediate

51 Lessons

2h 29min

Certificate of Completion

AI Explanations
AI Explanations
Data Analytics in Python
88 Playgrounds
32 Quizzes
40 Illustrations

Takeaway Skills

An understanding of data extraction and preprocessing techniques

A Hands-on experience in analyzing datasets for different problems using Python

Develop skills to gather valuable insights from data

A working knowledge of filtering and refining datasets

The ability to generate different types of graphs for data visualization

Course Overview

In this course, you will get an introduction to Python-based data analytics. You will learn the inner workings of Python to the point where you can confidently find and manipulate data sources and use a Jupyter environment to derive insights from your data. By the end of this course, you will be able to find and clean data sources, plot your data, and use Python functionalities that show graphs of data. It’s your all-in-one guide to teaching yourself data analytics in 30 days.

Course Content

1

Before We Begin

2

Comparing Wages With Consumer Price Index Data

3

Wages and CPI: Reality Check

4

Working With Major US Storm Data

5

Property Rights and Economic Development

6

How Representative Is Your Government?

4 Lessons

7

Does Wealth Influence The Prevalence Of Mental Illness?

4 Lessons

8

Do Birthdays Make Elite Athletes?

3 Lessons

9

Does Literacy Impact The Income of People

4 Lessons

10

Conclusion

1 Lesson

11

Appendix

1 Lesson

COURSE AUTHOR

How You'll Learn

Hands-on Coding Environments

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AI-Powered Learning

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Progress You Can Show

Built-in assessments let you test your skills. Completion certificates let you show them off.

FOR TEAMS

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