AI-INTEGRATED DATA ANALYTICS WITH GENAI CRASH COURSE Specialization.

Module 1: Data Analytics Foundations

• Core Concepts: Learn the core definitions, different types of analytics, and the standard analytics lifecycle.

• Business Applications: Understand data-driven decision-making and fundamental Business Intelligence (BI) concepts.

• Design Practices: Master fundamental data visualization principles to properly structure upcoming dashboards.

Module 2: Advanced Microsoft Excel for Data Analytics

• Data Manipulation: Work with advanced Excel functions, data cleaning techniques, and data validation rules.

• Summarization & ETL: Master Pivot Tables, Pivot Charts, and extract-transform-load (ETL) workflows using Power Query.

• Reporting Architecture: Build interactive dashboards, automate business reporting, and design specialized MIS & KPI dashboards.

Module 3: Statistics for Data Analytics

• Descriptive & Probability: Build a mathematical baseline with descriptive statistics and fundamental probability concepts.

• Relationship Modeling: Analyze data patterns utilizing correlation analysis, regression analysis, and forecasting techniques.

• Strategic Logic: Apply advanced business decision models to back business operations with mathematical proof.

Module 4: SQL for Data Analytics

• Database Programming: Learn database fundamentals and write proper SQL programming syntax.

• Query Engineering: Handle complex relational operations via Joins, Subqueries, and Common Table Expressions (CTEs).

• Advanced Engine Logic: Leverage window functions, create views, and build reusable stored procedures for business analytics.

Module 5: Python for Data Analytics

• Programming Foundations: Learn Python fundamentals and master computational structures using NumPy and Pandas.

• Data Processing: Execute rigorous data cleaning, automated data transformations, and exploratory data analysis (EDA).

• Visuals & Automation: Generate dynamic charts utilizing Matplotlib and Plotly, and set up data analytics automation scripts.

Module 6: Microsoft Power BI

• Data Infrastructure: Import, transform, and clean disparate sources using Power Query alongside advanced data modeling techniques.

• Metrics & Layouts: Master DAX (Data Analysis Expressions) fundamentals to construct rich interactive dashboards and structured KPI reports.

• Cloud Operations: Deploy, manage, and share your data products on the Power BI Service.

Module 7: Tableau for Data Visualization

• Platform Core: Master Tableau fundamentals and construct secure, live database connections.

• Narrative Design: Build highly interactive dashboards, present actionable storytelling with data, and manage automated business reporting.

• Advanced Calculations: Build automated data forecasting pipelines directly inside your visualizations.

Module 8: Generative AI for Data Analytics

• LLM Architectures: Explore Generative AI basics and Prompt Engineering workflows using ChatGPT, Google Gemini, Microsoft Copilot, and Claude AI.

• AI Engine Optimization: Accelerate delivery with AI-assisted data cleaning, AI-powered SQL script generation, and AI-driven report and dashboard generation.

• Workflow Acceleration: Maximize production output leveraging AI productivity and analytics automation tools.

Module 9: Professional Development

• Career Readiness: Intensive resume building, professional GitHub portfolio setup, and LinkedIn profile optimization.

• Soft Skills & Strategy: Refine presentation skills, review strategic case study discussions, and prepare for technical and behavioral interviews.