POWERBI

Power BI & Data Analytics Training – Course Overview

Our Power BI & Data Analytics Training Program is designed to help learners build strong analytical skills and gain hands-on expertise in business intelligence, data processing, visualization, dashboard development, and real-time data reporting. This course covers the complete data analytics lifecycle—from data collection and cleaning to modeling, visualization, and insight generation using Power BI, Python, SQL & Excel, along with integration using Microsoft Fabric, Copilot, and AI tools.

Through real-world case studies, industry examples, and practical assignments, learners will confidently transform raw data into powerful visual dashboards used for business decision-making.

What You Will Learn

  • Core fundamentals of Data Analytics, Generative AI & business problem solving

  • Data processing and visualization using Python, Pandas, NumPy, Matplotlib & Seaborn

  • Statistical & predictive analytics concepts for real business insights

  • SQL for querying, joining, transforming and managing structured data

  • Microsoft Excel for professional reporting, dashboards & data analysis

  • Extract, Transform & Load (ETL), Data Warehouse & Data Lake fundamentals

  • Complete hands-on experience using Microsoft Power BI Desktop & Power BI Service

  • Building dashboards, KPIs, DAX measures, data models & row-level security

  • Working with Microsoft Fabric, Lakehouse architecture & Copilot automation

  • Introduction to Machine Learning for predictive analysis

(All topics derived from the detailed curriculum in the uploaded document

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)

Course Curriculum

Introduction to Data Analytics

Understanding data analytics, importance, types of data & statistical analysis, business and data understanding, and real use cases.

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Generative AI for Analytics

AI fundamentals, ChatGPT, prompt engineering basics & ethical considerations.

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Python for Data Analytics

Python basics, libraries (NumPy, Pandas), visualization using Matplotlib & Seaborn, file handling, OOPS, and data processing.

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Statistics & Probability

Sampling, central tendency, dispersion, distributions, hypothesis testing (T, Z, Chi-Square, ANOVA), correlation, covariance & probability concepts.

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Exploratory Data Analysis (EDA)

Data cleaning, outlier handling, scaling, encoding, univariate / bivariate / multivariate analysis & case studies.

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SQL for Data Analytics

Database basics, joins, nested queries, windows functions, views, stored procedures & SQL-Python connectivity.

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Microsoft Excel for Data Analytics

Formulas, functions, pivot tables, dashboards & automation for business use.

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ETL & Data Warehousing

ETL tools, staging, data marts, warehouse architecture & Data Lake fundamentals.

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Microsoft Power BI

Power Query, DAX, relationships, visuals, KPIs, drill-throughs, row level security & publishing reports to Power BI Service.

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Microsoft Fabric & Copilot

Lakehouse, integration, KQL, Copilot for automated report creation, dashboard narration & DAX assistance.

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Machine Learning & Predictive Analytics

Regression, classification, KNN, decision trees, random forest, clustering & forecasting models.

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Who Should Join

  • Students & fresh graduates

  • Working professionals & career switchers

  • Business Analysts / Data Analysts / MIS executives

  • Software developers & QA testers

  • Finance, Sales, Marketing & HR professionals

Career Opportunities

  • Power BI Developer

  • Data Analyst / Business Analyst

  • BI Consultant / Reporting Analyst

  • Data Visualization Engineer

  • Predictive Analytics Specialist

Training Highlights

  • 100% practical hands-on sessions

  • Real-time projects & case studies

  • Resume & interview preparation

  • Certification & placement support

  • Live dashboards & end-to-end project implementation