Write basic SQL statements to select, group and filter data.Sort, query and structure data in spreadsheets and with Python libraries.Demonstrate proficiency in Python with variables, control flow, loops, and basic data structures.Identify gaps in data collected and describe the strengths and weaknesses.Compare and contrast the different formats and use cases of different kinds of data.Identify and define the relevant data to be collected for marketing.State business goals, KPIs and associated metrics.You will also learn how to use Tableau to create data visualizations and dashboards.īy the end of this course, you will be able to: You will learn foundational programming concepts and how they apply to marketing. You will also be introduced to using the Python programming language to manipulate datasets as an alternative to spreadsheets. You’ll learn to perform data analytics tasks using spreadsheet and SQL queries. 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.
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