HomeCoursesPython Data Analysis and Visualization

Beginner

2h 30min

Python Data Analysis and Visualization

Delve into Python data analysis and visualization using NumPy, SciPy, Pandas, and Seaborn. Gain insights into reading, cleaning, and visualizing data to generate actionable insights.

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Overview

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This course assumes no prior experience and can teach anyone how to use Python to analyze and visualize data. Stop using Excel and start harnessing the power of Python. Data analysis is one of the hottest careers of the 21st century. As an analyst, your goal is to peel back layers of data in order to answer questions of interest; that is the power of analytics. It allows you to take raw data and create meaningful, actionable insights. In this course, you’ll learn how to use Python, NumPy, SciPy, Pandas, and Seaborn to perform data analysis and visualization. You’ll explore the four crucial steps for any data analysis project: reading, describing, cleaning, and visualizing data. In each step, you will work with the most common and popular tools that data analysts use every day. By the end of the course, you will be able to confidently extract knowledge and answers from data.

This course assumes no prior experience and can teach anyone how to use Python to analyze and visualize data. Stop using Excel a...Show More

Content

34 Lessons1 Quiz5 Challenges

What is Analytics

2 Lessons

Get familiar with transforming raw data into actionable insights using Python.

Introduction to Analytics

Analytics in Python

Python Basics for Analytics

7 Lessons

Walk through Python basics, key data structures, control flow, Numpy, and Scipy usage.

Getting Started

Data Structures

Control Flow and Built-in Functions

Numpy an External Library

Scipy an External Library

Exercise: Using Numpy and Scipy

Solution Review: Using Numpy and Scipy

Reading Data

5 Lessons

Examine reading data from CSV, JSON, raw files, and using Pandas for dataset analysis.

Comma Separated Files

JSON Files

Raw Files

Exercise: Reading Auto MPG Dataset

Solution Review: Reading Auto MPG Dataset

Describing Data

4 Lessons

Grasp the fundamentals of data analysis and reshaping in Python using Pandas.

Statistics and Counts

Reshaping the Data

Exercise: Group By Aggregations

Solution Review: Group By Aggregations

Cleaning Data

6 Lessons

Take a closer look at handling missing data, outliers, scaling, and encoding categorical data.

Exercise: Cleaning Auto MPG Dataset

Solution Review: Cleaning Auto MPG Dataset

Visualizing Data

10 Lessons

Focus on Python data visualization using Matplotlib and Seaborn for comprehensive data analysis.

Introduction to Visualization

Visualization with Scatter Plots

Visualization with Bar Plots

Visualization with Distributions

Visualization with Line Graphs

Visualization with Heat Maps

Visualization with Multi-Plot Grids

Exercise: Visualizing Auto MPG Dataset

Solution Review: Visualizing Auto MPG Dataset

Test Yourself

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Tyler Folkman

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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Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

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AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

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AI Code Mentor

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