- SQL
- Pandas
- Generative AI in Data Analytics
- Data Analysis
- Python Programming
August 9, 2024
Approximately 5 months at 10 hours a week to completeBrennan Weber's account is verified. Coursera certifies their successful completion of Meta Meta Data Analyst Specialization.
Course Certificates Completed
Python Data Analytics
Introduction to Data Management
Introduction to Data Analytics
Statistics Foundations
Data Analysis with Spreadsheets and SQL
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
Earned after completing each course in the Specialization
Meta
Taught by: Victor Geislinger
Completed by: Brennan Weber by August 9, 2024
5 weeks of study, 5-6 hours/week
Meta
Taught by: Brandon Larkin
Completed by: Brennan Weber by August 9, 2024
4 weeks of study, 5-6 hours/week
Meta
Taught by: Anke Audenaert
Completed by: Brennan Weber by August 9, 2024
4 weeks of study, 5-6 hours/week
Meta
Taught by: Brandi Robinson
Completed by: Brennan Weber by August 9, 2024
4 weeks of study, 5-6 hours/week
Meta
Taught by: Brandon Larkin
Completed by: Brennan Weber by August 9, 2024
5 weeks of study, 5-6 hours/week