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Data Science with Databricks for Data Analysts

Kevin Coyle, Mark Roepke, Emma Freeman, and Kate Sullivan

This specialization is intended for data analysts looking to expand their toolbox for working with data. Traditionally, data analysts have used tools like relational databases, CSV files, and SQL programming, among others, to perform their daily workflows. In this specialization, you will leverage existing skills to learn new ones that will allow you to utilize advanced technologies not traditionally linked to this role - technologies like Databricks and Apache Spark. By the end of this specialization, you'll be able to solve real-world business problems with Databricks and the most popular machine learning techniques.

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What's inside

Three courses

Apache Spark (TM) SQL for Data Analysts

Apache Spark is widely used in big data analytics. This course teaches you how to use your SQL skills with Spark. You will also learn Delta Lake, a storage layer that brings reliability to data lakes. By the end, you will be able to use Spark SQL and Delta Lake to analyze data and share insights.

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Data Science Fundamentals for Data Analysts

(0 hours)

In this course, we'll guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world! We've designed this course to build ready-to-apply data science skills in just 15 hours of learning. We'll give you a quick introduction to data science and teach you the skills you need to apply foundational data science concepts and techniques to solve real-world problems.

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Applied Data Science for Data Analysts

(0 hours)

In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to explore data, engineer features, and solve complex problems using tree-based models.

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Learning objectives

Discover how databricks and apache spark simplify big data processing and optimize data analysis.
Frame business problems for data science and machine learning to make the most out of big data analytic workflows.

Solve real-world business problems quickly using databricks to power the most popular data science techniques.

Discover how databricks and apache spark simplify big data processing and optimize data analysis.
Frame business problems for data science and machine learning to make the most out of big data analytic workflows.
Solve real-world business problems quickly using databricks to power the most popular data science techniques.

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Time

0 hours

Level

Intermediate

Via

Coursera

Institution

Databricks

Instructors

Kevin Coyle

Mark Roepke

Emma Freeman

Kate Sullivan

Level

Intermediate

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