Unlock Insights from Facebook, Instagram & YouTube APIs
Turn social media data into actionable insights using Python and real platform APIs.
Fees 75,000 SDG
This course equips learners with practical, hands-on skills to extract, analyze, and visualize data from major social media platforms using Python. Participants will learn how to interact with Facebook, Instagram, and YouTube APIs, collect meaningful engagement and performance metrics, and transform raw data into insights that support marketing strategy, campaign optimization, and business decision-making.
Through guided examples and a final applied project, learners will build end-to-end analytics workflows—from API authentication and data extraction to visualization and reporting—using widely adopted Python libraries.
What You Will Gain
- Practical experience working with real social media APIs
- Ability to extract, clean, and structure platform data using Python
- Skills to analyze engagement, reach, and performance metrics
- Experience building cross-platform reports and visualizations
- A completed mini-dashboard project for campaign analysis
Course Snapshot
- Modules: 5
- Foundations of SM Analytics
- Facebook Insights
- Instagram Insights
- YouTube Analytics
- Cross-Platform & Final Project
- Duration: 10:35:53
- Format: Pre-recorded sessions with hands-on coding exercises
- Platforms Covered: Facebook, Instagram, YouTube
- Tools: Python, APIs, Pandas, Matplotlib
- Assessment: End-of-Module Tests
- Certificate: Professional Certificate of Achievement subject to successfully passing all end-of-module tests.
Who This Course Is For
- Digital marketers and social media analysts
- Data analysts and data scientists
- Marketing agency professionals
- Developers interested in social media analytics
- Students in data-related fields
Prerequisites
- Basic Python programming knowledge
- Basic understanding of data analysis (Pandas, plotting libraries)
Why Enroll
- Work directly with real-world social media data
- Learn API-based analytics used in professional marketing teams
- Strong focus on practical implementation, not theory
- Covers multiple platforms in a single, integrated workflow
- Finish with a portfolio-ready analytics project
Career Impact
- Strengthen your ability to make data-driven marketing and content decisions using real social media data
- Build practical API-based analytics skills valued in digital marketing, analytics, and data roles
- Enhance your portfolio with a real-world, cross-platform social media analytics project
- Improve campaign performance analysis, reporting, and optimization capabilities
- Expand career opportunities in marketing analytics, data analysis, and growth-focused roles
Analyze social media like a data scientist—and make smarter, data-driven marketing decisions.
Enroll now on ElitePath
About Instructor:
Khalid Obeid Kheiri has extensive experience in data analytics, statistical modeling, and applied data science across sectors including market research, digital services, education, and strategic decision support. His expertise spans data analysis, business intelligence, automation, and analytics-driven reporting, enabling organizations to translate complex data into clear, actionable insights. He has led and contributed to projects ranging from performance measurement and forecasting to digital analytics platforms and decision-support systems. As an experienced academic and professional trainer, he designs and delivers practical, industry-focused courses that equip learners with the analytical skills needed to succeed in today’s data-driven environment.