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Data Analytics in Python - AI-Powered Course
Intermediate
2h 29min
Updated 4 months ago
Data Analytics in Python
Learn about Python-based data analytics, discover data manipulation and cleaning techniques, explore Jupyter for insights, and gain skills to plot and visualize data effectively.
Join 2.8M developers at
Overview
Content
Reviews
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.
In this course, you will get an introduction to Python-based data analytics. You will learn the inner workings of Python to the ...Show More
WHAT YOU'LL LEARN
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
An understanding of data extraction and preprocessing techniques
Show more
TAKEAWAY SKILLS
Data Extraction
Data Visualization
Data Statistics
Content
51 Lessons32 Quizzes
1.
Before We Begin
2 Lessons
Get familiar with Python data analytics, data management, interpretation, and secure storage.
2.
Comparing Wages With Consumer Price Index Data
9 Lessons
Look at analyzing wage trends alongside consumer prices using Python and BLS API data.
3.
Wages and CPI: Reality Check
5 Lessons
Work your way through data integrity, historical context, S&P 500 integration, and growth rate calculations.
4.
Working With Major US Storm Data
10 Lessons
Apply your skills to clean, analyze, and visualize US storm data effectively.
5.
Property Rights and Economic Development
8 Lessons
Take a closer look at analyzing GDP, visualizing datasets, and enhancing plots using Python.
6.
How Representative Is Your Government?
4 Lessons
Tackle analyzing voting data to assess governmental representativeness and party line adherence.
7.
Does Wealth Influence The Prevalence Of Mental Illness?
4 Lessons
Analyze relationships between wealth and mental illness prevalence, considering varied trends and data complexities.
8.
Do Birthdays Make Elite Athletes?
3 Lessons
Try out scraping and visualizing NHL data to analyze birthdate trends among athletes.
9.
Does Literacy Impact The Income of People
4 Lessons
Solve challenges with analyzing literacy’s impact on global and US state income levels.
10.
Conclusion
1 Lessons
Explore the foundational data analytics techniques using Python and Pandas you mastered.
11.
Appendix
1 Lessons
Grasp the fundamentals of installing Python, managing environments, and setting up necessary libraries.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
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