Start your career in data analytics. Gain market-ready skills—and essential AI skills—for an in-demand career. Earn a certificate from Meta in 5 months or less. No degree or prior experience required.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
Prepare for a career in the fast-paced field of data analytics. In this program, you’ll build in-demand technical skills like Python, statistics, and SQL in spreadsheets and be ready to work in 5 months or less, with no prior experience required. You’ll also learn how to use generative AI tools and techniques in data consulting.
Data analytics involves collecting, processing, and analyzing data to produce insights that can influence decision-making and strategy in an organization.
In this program, you will learn the fundamentals of data analysis, how data influences decisions, and how to apply the OSEMN methodology to approach common analysis questions. You will also learn how to use essential tools such as SQL, Python, and Tableau to collect, connect, present, and analyze relevant data.
You will learn how to apply common statistical methods to write hypotheses through project scenarios to gain practical experience in designing experiments and analyzing results.
When you complete the full program, you will have a portfolio of practical projects and a professional certificate from Meta that you can present as your expertise.
Hands-on Learning Project
During the program, you will practice your new data analysis skills through practical projects, including:
Identifying data sources
Using spreadsheets to clean and sort data
Using Python to classify and explore data
Using a tableau to display results
Using statistical analyses
At the end, you will have a professional portfolio that you can present to potential employers or use for your own business.
