- SQL
- Pandas
- Generative AI in Data Analytics
- Data Analysis
- Python Programming
Meta Data Analyst
Completed by Robert Ahanessians
September 27, 2024
Approximately 5 months at 10 hours a week to completeRobert Ahanessians's account is verified. Coursera certifies their successful completion of Meta Meta Data Analyst Specialization.
Course Certificates Completed
Data Analysis with Spreadsheets and SQL
Python Data Analytics
Statistics Foundations
Introduction to Data Analytics
Introduction to Data Management
What you will learn
Collect, clean, sort, evaluate, and visualize data
Apply the OSEMN, framework to guide the data analysis process, ensuring a comprehensive and structured approach to deriving actionable insights
Use statistical analysis, including hypothesis testing, regression analysis, and more, to make data-driven decisions
Develop an understanding of the foundational principles of effective data management and usability of data assets within organizational context
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Data Analysis with Spreadsheets and SQL
Meta
Taught by: Brandon Larkin
Completed by: Robert Ahanessians by September 23, 2024
5 weeks of study, 5-6 hours/week
Python Data Analytics
Meta
Taught by: Victor Geislinger
Completed by: Robert Ahanessians by September 27, 2024
5 weeks of study, 5-6 hours/week
Statistics Foundations
Meta
Taught by: Brandi Robinson
Completed by: Robert Ahanessians by September 25, 2024
4 weeks of study, 5-6 hours/week
Introduction to Data Analytics
Meta
Taught by: Anke Audenaert
Completed by: Robert Ahanessians by September 14, 2024
4 weeks of study, 5-6 hours/week
Introduction to Data Management
Meta
Taught by: Brandon Larkin
Completed by: Robert Ahanessians by September 26, 2024
4 weeks of study, 5-6 hours/week