Meta Data Analyst Professional Certificate Course Syllabus

Overview: This comprehensive, beginner-friendly program from Meta prepares learners for real-world data analyst roles through hands-on training in essential tools and techniques. The course covers data analysis fundamentals, spreadsheets, SQL, Python, and Tableau, culminating in a capstone project that showcases practical skills. With approximately 30–40 hours of total content, learners can complete the program at their own pace, gaining job-ready skills and a shareable certificate. No prior experience is required, making it ideal for those starting a career in data analytics.

Module 1: Introduction to Data Analytics

Estimated time: 10 hours

• Understanding the data analyst role and career paths
• Exploring the data lifecycle and business value of data
• Learning key data types and common data tools
• Applying the OSEMN framework (Obtain, Scrub, Explore, Model, Interpret)
• Understanding data ethics, security, and compliance basics

Module 2: Data Analysis with Spreadsheets and SQL

Estimated time: 16 hours

• Mastering spreadsheet functions: pivot tables, charts, and conditional formatting
• Writing basic to intermediate SQL queries for data retrieval
• Understanding relational database structures and models
• Using SQL to manipulate and interpret structured data
• Combining spreadsheets and SQL for data analysis workflows

Module 3: Data Visualization with Tableau

Estimated time: 14 hours

• Creating interactive dashboards and visualizations in Tableau
• Applying best practices for visual storytelling
• Designing reports aligned with business KPIs
• Presenting data-driven conclusions using clean, effective visuals

Module 4: Data Analysis with Python

Estimated time: 18 hours

• Using Python libraries: Pandas, NumPy, and Matplotlib
• Performing exploratory data analysis (EDA)
• Conducting statistical computations and data transformations
• Visualizing data insights with Python
• Automating data tasks using Python scripts

Module 5: Capstone Project

Estimated time: 12 hours

• Collecting and cleaning real-world datasets
• Conducting comprehensive data analysis using multiple tools
• Creating a professional report or interactive dashboard

Prerequisites

• No prior experience required
• Basic computer literacy
• Access to spreadsheet software and internet

What You'll Be Able to Do After

• Use spreadsheets and SQL to query and analyze data
• Apply Python for data cleaning, analysis, and visualization
• Create compelling Tableau dashboards to communicate insights
• Complete end-to-end data analysis projects
• Build a professional portfolio to showcase to employers