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.

Intermediate

51 Lessons

2h 29min

Certificate of Completion

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.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

88 Playgrounds

32 Quizzes

This course includes

88 Playgrounds

32 Quizzes

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.

TAKEAWAY SKILLS

Data Extraction

Data Visualization

Data Statistics

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

What You'll Learn

An understanding of data extraction and preprocessing techniques

Course Content

Before We Begin

Get familiar with Python data analytics, data management, interpretation, and secure storage.

What Is This Course About?

Storing and Protecting Data

Comparing Wages With Consumer Price Index Data

Look at analyzing wage trends alongside consumer prices using Python and BLS API data.

Introduction

Working with API Working with CPI and Salary Data Manipulating the CPI Data Series Converting Percentages to CPI Values Merge and Plot Our Data Frames Quiz Challenge 1 - Plot a Simple Bar Graph Solution Review - Plot a Simple Bar Graph

Wages and CPI: Reality Check

Work your way through data integrity, historical context, S&P 500 integration, and growth rate calculations.

Confirm the Integrity of Your Data Establish a Historical Context for Your Data Incorporate S&P 500 Quotes Calculate the Rate of Increase for Both CPI and S&P Quiz

Working With Major US Storm Data

Apply your skills to clean, analyze, and visualize US storm data effectively.

Working With Major US Storm Data US Hurricane Data: 1851–2019 US Hurricane Data: 1851-2019 (Continued)US Tropical Storm Data: 1851-1965, 1983-2019 US Tropical Storm Data:1851-1965, 1983-2019 (Continued)Quiz Challenge 2 — Plot a Simple Histogram Solution Review - Plot a Simple Histogram Challenge 3 — Scatter Plot Solution Review — Scatter Plot

Property Rights and Economic Development

Take a closer look at analyzing GDP, visualizing datasets, and enhancing plots using Python.

How Do You Measure Conditions and Outcomes?Getting the Data and Visualizing Datasets Using Scatter Plots Adding Hover Visibility Adding a Regression Line Other Considerations Quiz Challenge 4 - Plot a Regression Line Graph Solution Review - Plot a Regression Line Graph

How Representative Is Your Government?

4 Lessons

Tackle analyzing voting data to assess governmental representativeness and party line adherence.

Does Wealth Influence The Prevalence Of Mental Illness?

4 Lessons

Analyze relationships between wealth and mental illness prevalence, considering varied trends and data complexities.

Do Birthdays Make Elite Athletes?

3 Lessons

Try out scraping and visualizing NHL data to analyze birthdate trends among athletes.

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 Lesson

Explore the foundational data analytics techniques using Python and Pandas you mastered.

11.

Appendix

1 Lesson

Grasp the fundamentals of installing Python, managing environments, and setting up necessary libraries.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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