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LinkedIn Learning

Hands-On Data Science

via LinkedIn Learning Path

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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

Taught by

Ben Sullins

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