Data Analytics (DA) Training
Turn raw, unstructured data into compelling executive stories. Learn advanced Excel, analytical SQL, exploratory Python (Pandas), and professional Power BI dashboard development with real-world scenarios.
Program Snapshot
- Learning Level: Beginner to Portfolio-Ready
- Delivery Modes: Classroom (Hyderabad) & Live Online
- Practical Emphasis: 3 Multi-Page Portfolio Dashboards
- Target Roles: Data Analyst, BI Developer, Reporting Analyst
The Four Pillars of Practical Data Analytics
Every modern organization depends on clean reporting to drive strategic decisions. We teach the complete industry stack.
Advanced Excel Modeling
From dynamic array formulas (FILTER, UNIQUE, XLOOKUP) to automated Power Query data preparation and pivot tables.
SQL for Data Investigation
Extract answers from relational databases: GROUP BY rollups, multi-table joins, subqueries, CTEs, and window calculations.
Power BI & DAX Dashboards
Build relationship data models, write complex DAX measures (Time-Intelligence, CALCULATE), and create interactive executive dashboards.
Data Analytics Curriculum
Progressive curriculum taking you from spreadsheet modeling to complex visual analytics portfolios.
Advanced Microsoft Excel for Analysts
Logical functions, lookup functions (XLOOKUP, INDEX/MATCH), nested conditionals, dynamic array functions, conditional formatting, and cleaning raw spreadsheets using Power Query.
SQL Database Querying & Aggregation
SELECT, WHERE, HAVING, GROUP BY, aggregations, INNER/LEFT/FULL joins, CASE WHEN logic, subqueries, string functions, date manipulation, and window functions (RANK, DENSE_RANK, LAG, LEAD).
Python for Exploratory Data Analysis (EDA)
Python data basics: Pandas Series & DataFrames, handling null values, deduplication, grouping and aggregations, and plotting distributions using Matplotlib and Seaborn.
Power BI Data Modeling & Power Query
Importing data from diverse sources, data shaping in Power Query, building Star Schemas, establishing 1-to-many active relationships, and managing calendar date tables.
DAX Formulas & Calculations
Calculated columns vs. DAX measures, row context vs. filter context, CALCULATE, ALL, ALLEXCEPT, RELATED, and Time Intelligence (YTD, MTD, SAMEPERIODLASTYEAR).
Applied Practical Scenario: Executive KPI Dashboard
Author a multi-page interactive dashboard covering executive financial KPIs, sales funnel conversions, regional profitability, and drill-through customer insights.
Your Data Analytics Project Portfolio
When you complete the course, you will have published dashboards and SQL query repositories to share on your resume and LinkedIn.
- Complete Executive Power BI Dashboard with Interactive Slicers
- Complex SQL Query Library for Real-World Business Metrics
- Python Exploratory Data Analysis (EDA) Jupyter Notebook
- Business Presentation Deck Explaining Analytical Findings
Request Data Analytics Program Details
Speak with an analytics mentor regarding upcoming batch dates and schedules.