Python Data Analysis and Visualization
|
Learn data analysis and visualization techniques using Python, focusing on libraries such as Pandas, Matplotlib, and Seaborn for effective data representation.
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.
User Reviews
Be the first to review “Python Data Analysis and Visualization”
Related Products
Learn Python for Data Science
Get started with Python for Data Science in this beginner-friendly skill path.
Introduction to Data
Learn the fundamentals of data collection, analysis, and interpretation.
Data Science Foundations
Learn to clean, analyze, and visualize data with Python and SQL.
Learn R
Learn how to code and clean and manipulate data for analysis and visualization with the R programming language.
Firebase Analytics: iOS
Explore Firebase Analytics integration for iOS apps to analyze user behavior and app performance.
Master Statistics with Python
Learn the statistics behind data science, from summary statistics to regression models.
There are no reviews yet.