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.

Beginner

34 Lessons

2h 30min

Certificate of Completion

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.

AI-POWERED

Explanations

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This course includes

79 Playgrounds

5 Challenges

This course includes

79 Playgrounds

5 Challenges

Course Overview

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, a...Show More

Course Content

What is Analytics

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

Introduction to Analytics Analytics in Python

Python Basics for Analytics

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

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

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

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

Missing Data Outliers Scaling 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.

Course Author

Part of the Python Data Analysis and Visualization Path

Learn Python Data Analysis and Visualization

Gain the ability to analyze and visualize data with Python using an assortment of powerful libraries.

4 Modules

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