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.
Overview
Syllabus
Course 1: Apache Spark (TM) SQL for Data Analysts
- Offered by Databricks. Apache Spark is one of the most widely used technologies in big data analytics. In this course, you will learn how to ... Enroll for free.
Course 2: Data Science Fundamentals for Data Analysts
- Offered by Databricks. In this course we're going to guide you through the fundamental building blocks of data science, one of the ... Enroll for free.
Course 3: Applied Data Science for Data Analysts
- Offered by Databricks. In this course, you will develop your data science skills while solving real-world problems. You'll work through the ... Enroll for free.
- Offered by Databricks. Apache Spark is one of the most widely used technologies in big data analytics. In this course, you will learn how to ... Enroll for free.
Course 2: Data Science Fundamentals for Data Analysts
- Offered by Databricks. In this course we're going to guide you through the fundamental building blocks of data science, one of the ... Enroll for free.
Course 3: Applied Data Science for Data Analysts
- Offered by Databricks. In this course, you will develop your data science skills while solving real-world problems. You'll work through the ... Enroll for free.
Taught by
Emma Freeman, Kate Sullivan, Kevin Coyle and Mark Roepke
