This course equips you with a practical understanding and a framework to guide the execution of basic analytics tasks such as pulling, cleaning, manipulating and analyzing data by introducing you to the OSEMN cycle for analytics projects. You’ll learn to perform data analytics tasks using spreadsheet and SQL queries. You will also be introduced to using the Python programming language to manipulate datasets as an alternative to spreadsheets. You will learn foundational programming concepts and how they apply to marketing. You will also learn how to use Tableau to create data visualizations and dashboards.Read more.
This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.
The techniques and tools covered in Introduction to Data Analytics are most similar to the requirements found in Data Analyst job advertisements.
Introduction to Data Analytics is a part of one structured learning path.
Meta Marketing Analytics