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Data Analytics

Build industry-ready data analytics skills through hands-on training in data preparation, SQL, visualization, dashboard development, business intelligence, and AI-assisted analytics. Gain practical experience by solving real-world business problems and developing interactive dashboards using leading data visualization tools.

3 Months (12 Weeks) 100–120 Hours Online Mode 6,000.00 Apply Now

Key Advantages

Build industry-ready data analytics expertise through hands-on learning in data preparation, SQL, business intelligence, dashboard development, and AI-assisted analytics.

End-to-End Data Analytics

Learn the complete analytics lifecycle, including data collection, cleaning, transformation, modeling, analysis, visualization, and business reporting.

Business Intelligence & Dashboards

Create interactive dashboards and reports using Power BI, Tableau, Looker Studio, and other industry-standard visualization tools.

SQL, ETL & Data Modeling

Develop practical skills in SQL, ETL processes, data modeling, relationships, calculated measures, and business-ready data preparation.

AI-Assisted Analytics

Explore AI-powered reporting, intelligent insight generation, modern analytics techniques, and the role of AI in business decision-making.

Real-World Capstone Project

Work on industry-based analytics projects involving data cleaning, dashboard development, KPI analysis, business insights, and stakeholder presentations.

Career-Ready Skills

Strengthen analytical thinking, problem-solving, and reporting skills through practical exercises, case studies, assessments, and professional certification.

Program Description

Weeks 1–2: Data Analytics Fundamentals 20 Hours
  • Introduction to Data Analytics & Business Intelligence
  • Business Problem Solving & KPI Identification
  • Statistics for Data Analytics
  • Data Ethics, Governance & Security
  • Data Cleaning & Exploratory Data Analysis (EDA)
  • Power BI, Tableau & Visualization Tool Introduction
Week 3: Data Preparation & ETL 10 Hours
  • ETL Concepts
  • Query Editor
  • Data Transformation
  • Append & Merge Queries
  • Calculated Columns
  • Data Refresh Concepts
Week 4: SQL for Data Analytics 10 Hours
  • SQL Fundamentals
  • SELECT, WHERE, GROUP BY & ORDER BY
  • JOINS & Aggregate Functions
  • SQL Database Connectivity
  • Hands-on SQL Practice
Weeks 5–6: Data Modeling 20 Hours
  • Fact & Dimension Tables
  • Relationships & Model View
  • Primary & Foreign Keys
  • Calculated Columns & Measures
  • DAX Functions & KPIs
Weeks 7–8: Dashboard Development 20 Hours
  • Charts, Maps & KPI Cards
  • Dashboard Storytelling
  • Drill-through & Tooltips
  • Slicers, Filters & Conditional Formatting
  • Advanced Visualizations
Week 9: Publishing & Collaboration 10 Hours
  • Publishing Reports
  • Workspaces & Dashboards
  • Scheduled Refresh
  • Mobile Optimization
  • Sharing Reports & Business Insights
Capstone Project 20 Hours
  • Data Cleaning & Preparation
  • Data Modeling & Dashboard Development
  • Business Insights & KPI Analysis
  • Client Requirement Gathering
  • Stakeholder Presentation
  • Projects: Student Analytics, Payment Analytics, Grievance Analytics, Internship Analytics, Sentiment Analytics and more
AI-Assisted Analytics & Final Assessment 10 Hours
  • AI-Assisted Dashboard Creation
  • Insight Generation using AI
  • Traditional vs AI-Assisted Analytics
  • Reporting & Decision Making
  • Final Assessment & Project Evaluation
  • Practice Sessions, Case Studies & Certification

Why Choose MPOnline?

Experience industry-focused, mentor-led training designed to make you job-ready.

Others MPOnline
Recorded Videos Live Mentor-led Learning
Generic Assignments Live Industry Projects & Assignments
Generic Certificate Government & TCS JV Certificate from ISO 9001 & CMMI Level 5 (Dev & SVC) Organization
Self Learning Live Training with Dedicated Mentor Support
No Portfolio Development Build an Industry-Ready Portfolio
No Interview Preparation Resume Building, Mock Interviews & Career Guidance
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