Download Udemy – Python and Tableau: The Complete Data Analytics Bootcamp! 2022-3

• Our learning will be project-based: we will explore the core concepts of Python and Tableau as they arise in the real-life projects we will work on.
• You have experience in both Python and Tableau – two powerhouses in the data analytics community
• You’ll also learn how to clean/analyze data in Python and then visualize it in Tableau – an end-to-end process used by many data analysts today.

What are the projects you will be working on?

Sales Analysis for Value Inc: We are working on a sales analysis for a popular retail company called Value Inc. Here we use Python for the following to clean our data and use popular libraries like pandas and learn how to work with dataframes, perform calculations and more. Then we’re going to extract that data into Tableau, where we’ll learn how to create calculations, parameters, and create a dashboard for the sales manager.

Loan Analysis for Blue Bank: We are also working on a loan analysis for a bank. Using Python and Tableau, Blue Bank wants to see an analysis of people who have taken out loans but may be having trouble repaying them. We will learn how to read JSON files, work with lists, dictionaries, Numpy and if commands. We also learn how to throw exceptions for loops and graphs in Python. After doing this, we’ll extract the data into Tableau and create charts, work with Tableau Calculations, and create an interactive dashboard.

Sentiment and Keyword Analysis: We will also do a sentiment and keyword analysis for my blog. A blogging website that asks us to analyze news headlines and extract sentiment from these articles. Here, we use a natural language processing library called Vader that can extract sentiment in Python. We also learn about functions and classes in Python. As we mine data in Tableau, we’ll learn how to perform Tableau Joins, work with sets and context filtering, and finally create an interactive dashboard. In this course you will learn the following:

Python:

1. Install and run Anaconda
2. Learn about Python variables and data types
3. Familiarize yourself with strings, integers
4. Using lists, tuples and dictionaries
5. Create functions
6. And…

Panel:

1. Connect to the data source
2. Familiarity with links and unions
3. Rename a data field
4. Assign an alias to a data value
5. Assign a geographic role to a data field
6. And…

By the time you complete this course, you will be a highly proficient user of Python and Tableau. You will use your skills as a data analyst to extract knowledge from data so that you can easily analyze and visualize the data.

Installation guide

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English subtitle

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