What you will learn in Meta Data Analyst Professional Certificate Course
This professional certificate from Meta equips learners with essential data analysis skills required for real-world business applications.
Students will master spreadsheet functionalities, SQL for data querying, and Python for analytical tasks.
It also includes foundational statistical analysis, data cleaning, and data visualization with Tableau.
Learners will understand how to manage and interpret datasets to support data-driven decisions.
- The program emphasizes hands-on practice through real-world projects and portfolio-building tasks.
- The capstone integrates core skills, helping learners demonstrate their analytical competencies in a simulated work scenario.
- Graduates gain job-ready skills with a Meta certification, highly valued by employers.
Program Overview
Introduction to Data Analytics
⏱️ 3–4 weeks
Gain an understanding of the data analytics process, job roles, and business value of data.
Explore key data types, tools, and techniques.
Learn the OSEMN framework (Obtain, Scrub, Explore, Model, Interpret).
Understand data ethics, security, and compliance basics.
Data Analysis with Spreadsheets and SQL
⏱️4-6 weeks
Master spreadsheet features like pivot tables, charts, and conditional formatting.
Learn basic to intermediate SQL queries to retrieve and manipulate data.
Explore how to structure databases and use relational models.
Apply skills to extract and interpret insights from structured data.
Data Visualization with Tableau
⏱️ 4-5 weeks
- Create interactive dashboards and charts with Tableau.
- Learn best practices for visual storytelling.
- Build visualizations that align with business KPIs.
- Present data-driven conclusions using clean visual formats.
Data Analysis with Python
⏱️ 5-6 weeks
Use Python libraries like Pandas, NumPy, and Matplotlib.
Perform exploratory data analysis and statistical computations.
Visualize insights and automate data tasks.
Work with real-world datasets in Python-based tools.
Capstone Project
⏱️ 2-3 weeks
Complete a guided project to demonstrate full workflow skills.
Collect, clean, analyze, and visualize data to address a business question.
Compile and present findings as a professional report or dashboard.
Develop a polished portfolio to share with potential employers.
Get certificate
Job Outlook
- The data analyst role is growing rapidly across multiple industries including tech, finance, and healthcare.
- Entry-level analysts typically earn between $60K–$85K annually, with experienced professionals earning over $100K.
- Skills like SQL, Python, and Tableau are consistently in demand by employers.
- Meta certification boosts your resume and LinkedIn profile visibility.
- Data analysis is foundational for roles in BI, marketing, product, and data science.
- Remote and freelance opportunities are growing as businesses seek data-literate professionals.
- The practical focus of this program prepares learners to transition directly into job roles.
- It opens doors to higher-level analytics and data science paths in the future.
- The certificate helps meet growing demand driven by digital transformation and AI integration.
- Data literacy remains a top skill for the 2025 job market and beyond.
Specification: Meta Data Analyst Professional Certificate
|
