Data Analysis with Spreadsheets and SQL (Coursera)

By the end of this course you will be able to:
• Clean data with spreadsheets
• Use common spreadsheet formulas to calculate summary statistics
• Identify data trends and patterns
• Write foundational SQL statements and queries to extract data in spreadsheets
• Create charts in Google Sheets and use Tableau to visualize data
• Use dashboards to create data visualizations
You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally you have already completed course 1: Marketing Analytics Foundation and course 2: Introduction to Data Analytics in this program.
This course is part of the Meta Marketing Analytics Professional Certificate.

Syllabus

Working with Data in Spreadsheets
Module 1
This week you learn the basics of spreadsheets and their usefulness in data analysis. You will also identify how to apply the OSEMN framework when working with data in spreadsheets.

Data Analysis with Spreadsheets
Module 2
This week you will learn how to clean data in spreadsheets using foundational spreadsheet functions. You will also learn how to calculate summary statistics in spreadsheets as well as how to identify data trends and relationships between variables.

Extracting Data with SQL
Module 3
This week you will be introduced to SQL and how it is used in spreadsheets. You will utilize basic queries and functions for handling data with SQL.

Data Visualization
Module 4
This week you will learn about common chart types and how to determine the best type of chart for the dataset you want to present. You will also learn how to create these charts using both Google Sheets and Tableau.

Creating Dashboards
Module 5
In the final week you will be introduced to dashboards and how to use them to report on progress within a business setting. You will also learn how to create dashboards in Tableau and use these to tell a story when presenting your data findings.