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Intermediate

2h 29min

Updated 1 month ago

Data Analytics in Python
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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.

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Overview

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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

TAKEAWAY SKILLS

Data Extraction

Data Visualization

Data Statistics

Content

51 Lessons32 Quizzes

Before We Begin

2 Lessons

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

9 Lessons

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

5 Lessons

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

10 Lessons

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

Time Series Analysis and Visualization Using Python and Plotly

Project

Property Rights and Economic Development

8 Lessons

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.

Scraping Data from a Single Vote

Automating Vote Tabulation

What Did We Learn?

Quiz

Does Wealth Influence The Prevalence Of Mental Illness?

4 Lessons

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

Fetching Data and Our Assumptions

Plotting the Data

Thinking about Our Data

Quiz

Do Birthdays Make Elite Athletes?

3 Lessons

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

National Hockey League Data Scraping and Hiding

How to Visualize the Raw Data

Quiz

Does Literacy Impact The Income of People

4 Lessons

Solve challenges with analyzing literacy’s impact on global and US state income levels.

Classifying Incomes of The World

Importing and Plotting Literacy Rates of Countries

US State Incomes and Literacy Rates

Quiz

10.

Conclusion

1 Lessons

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

Wrap Up!

11.

Appendix

1 Lessons

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

Installations

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

David Clinton

Developed by MAANG Engineers

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Data Analytics in Python Save

Data Analytics in Python
Save