Hands-On Data Science

Overview

If you’re intent in working in the field of data, you need a foundational knowledge of data science. Not only that, you need to be able to demonstrate that knowledge. In this hands-on series, Ben Sullins shows how to build four distinct data science projects using SQL, Tableau, Python, and Spark.

Learn tools and techniques for preparing and analyzing data.
Follow along with concrete, real-world tasks.
Explore best practices for presenting your data analyses.

Syllabus

Courses under this program:
Course 1: Hands-On Data Science: 1 Analyzing Employee Data with SQL
-Build an SQL project from start to finish in this first installment of a four-part data science series.

Course 2: Hands-On Data Science: 2 Sales Dashboard with Tableau
-Learn how to use Tableau to create data visualizations and share them live on the web.

Course 3: Hands-On Data Science: 3 Sales Analysis in Python
-Learn how to do sales analysis using Python in the Jupyter Notebook. This course is particularly useful if you plan to work with data in a high-tech field.

Course 4: Hands-On Data Science: 4 Services Analysis in Spark
-Learn how to work with, visualize, and present data using Apache Spark.

Courses

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1 hour 14 minutes
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Get practical, hands-on data science experience using SQL, Tableau, Python, and Spark.
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1-2 hours
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Learn how to use Tableau to create data visualizations and share them live on the web.
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Learn how to do sales analysis using Python in the Jupyter Notebook. This course is particularly useful if you plan to work with data in a high-tech field.
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Learn how to work with, visualize, and present data using Apache Spark.