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Python Data Analysis and Visualization - AI-Powered Course
4.3
Beginner
2h 30min
Updated 2 weeks ago
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.
Join 2.8M developers at
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
1.
What is Analytics
2 Lessons
Get familiar with transforming raw data into actionable insights using Python.
2.
Python Basics for Analytics
7 Lessons
Walk through Python basics, key data structures, control flow, Numpy, and Scipy usage.
3.
Reading Data
5 Lessons
Examine reading data from CSV, JSON, raw files, and using Pandas for dataset analysis.
4.
Describing Data
4 Lessons
Grasp the fundamentals of data analysis and reshaping in Python using Pandas.
5.
Cleaning Data
6 Lessons
Take a closer look at handling missing data, outliers, scaling, and encoding categorical data.
6.
Visualizing Data
10 Lessons
Focus on Python data visualization using Matplotlib and Seaborn for comprehensive data analysis.
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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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