Visualize Data Like a Pro with 7 Courses on Tableau, Alteryx, Python, R, Qlik Sense & More

Hey fellow geeks,

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Pandas for Python

Pandas is one of the most popular Python libraries, used for data analysis and manipulation. It is commonly used in data science, machine learning, and artificial intelligence. If you are going to work in any of these areas, you will want to be familiar with Pandas. It’s easy to use, open-source, and will allow you to work with large quantities of data. It enables fast and efficient data manipulation, aggregation, and pivoting, flexible time series functionality, and more.

This course will introduce the learner to the basics of data analysis with the Pandas library. First, you’ll learn to work with two primary data structures in Pandas, Series and DataFrame. Then you will see how to read data from a file and explore input data using indexing and filtering. At this point, you are ready to start data preprocessing. You will see how to handle missing values and duplicate rows and to transform your data into a more efficient format. Next, you’ll discover how to manipulate the data and do some processing. Finally, you’ll delve into creating simple plots to visualize your data.

This is a 7 course (282 lessons) bundle including the following lessons:

• Introduction to Alteryx: Get Started with the Alteryx Designer & Make Sense of the Volume of Raw Data You Have
• Tableau for Beginners: Explore Tableau Desktop & Start Building Your Very Own Visualizations
• Advanced Tableau: Kickstart Your Data Analysis Career with Advanced Concepts in Tableau
• Introduction to R Programming: Learn the Basics of R Programming & Import Data from Various File Formats
• Introduction to Python:
• Pandas for Python: Manipulate, Aggregate, Pivot & Work with Large Quantities of Data
• Introduction to Qlik Sense: Be Familiar with Qlik Sense, Navigate It & Become a Well-Versed Designer