About course
The Advanced Data Analytics 3-Day Masterclass is designed for learners and professionals who want to strengthen their technical expertise and apply advanced analytics techniques to real-world business problems.
This intensive masterclass covers three essential areas of modern data analytics: advanced data wrangling and SQL, enterprise business intelligence and data modeling, and predictive analytics using Python. Participants will explore advanced SQL queries with CTEs and Window Functions, clean and transform datasets using Pandas, develop Power BI data models, create advanced DAX measures, and build a basic forecasting model using Scikit-Learn.
The program also introduces professional project organization using GitHub, technical interview preparation, live coding practice, and analytical case studies. Each day includes a focused learning session, supporting materials, and a practical mini-task to reinforce the concepts covered.
By completing this masterclass, participants will gain practical exposure to advanced analytics workflows, business intelligence development, predictive modeling fundamentals, and portfolio preparation to support their continued learning and career development in data analytics.
What You Will Learn
Write advanced SQL queries using Common Table Expressions (CTEs) and Window Functions.
Extract top-performing records and calculate complex analytical metrics.
Clean, transform, and structure raw datasets using Python Pandas.
Understand data pipeline architecture and advanced data wrangling techniques.
Build enterprise-grade Power BI data models using the Star Schema approach.
Create table relationships and prepare data using Power Query.
Develop advanced DAX measures for Year-over-Year (YoY) growth and business analysis.
Apply iterator functions and Time Intelligence calculations in Power BI.
Understand Row-Level Security (RLS) for secure business reporting.
Build a basic forecasting model using Python and Scikit-Learn.
Interpret forecast results and identify potential future trends.
Organize analytics projects into a professional GitHub repository.
Strengthen technical interview skills through coding exercises and analytical case studies.
Apply your learning through practical mini-tasks and hands-on exercises.
Prerequisites
Participants should ideally have:
Basic knowledge of SQL and relational databases
Familiarity with Python fundamentals
Basic understanding of data analysis and spreadsheets
Access to a computer for hands-on practice
Recommended tools: Python 3, Jupyter Notebook or VS Code, a SQL environment, Microsoft Power BI Desktop, and a GitHub account for portfolio organization.
Note: Power BI Desktop is required for the Power BI mini-task. Some activities may require software installation and an internet connection.
Why Join This Masterclass?
Advanced Technical Skills: Learn practical SQL, Python, Power BI, and DAX techniques.
Hands-on Practice: Apply concepts through structured mini-tasks and supplied datasets.
Business-Focused Analytics: Understand how data modeling and analytical calculations support business decisions.
Predictive Analytics Exposure: Build and interpret a basic forecasting model.
Portfolio Development: Learn to structure and present analytical projects professionally.
Interview Preparation: Practice technical problem-solving and analytical case-study discussions.
Focused Learning: Strengthen several complementary analytics skills in a concentrated three-day format.
