Data Analysis with Spreadsheets and SQL
Key Takeaways
Introduces data analysis with spreadsheets and SQL queries using the OSEMN framework and data visualization techniques
Original Description
This course introduces you to how to use spreadsheets and SQL queries to analyze and extract data. You will learn how to practically apply the OSEMN data analysis framework and spreadsheet functions to clean data, calculate summary statistics, evaluate correlations, and more. You’ll also dive into common data visualization techniques and learn how to use dashboards to tell a story with your data.
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.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: SQL Analytics
View skill →Related Reads
📰
📰
📰
📰
The Ultimate Step-by-Step Guide: Connecting Power BI to Cloud-Based & Local PostgreSQL
Dev.to · michael imani
Understanding Data Warehousing: The Complete Beginner’s Guide for Data Engineering
Medium · Data Science
Job Hunting? Free Data Tools for Salary, Certification, and Visa Research
Dev.to · datapeek
Python for Data Science — Sampling and Why Your Conclusions Can Be Wrong
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI