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Data Analytics & Business Intelligence

Diploma in Data Analytics

Become an industry-ready data analyst — master Advanced Excel, SQL, Python, Power BI and Tableau to collect, analyze, visualize and report on real business data — taught entirely in-person at our Rishikesh campus with live projects and mentorship.

Created by CGTI Faculty & the Data Analytics Team
Bestseller 100% Offline Classroom Certificate Included
Diploma in Data Analytics course thumbnail

What You'll Learn

  • Master Advanced MS Excel — functions, pivot tables, Power Query & Power Pivot for real business data
  • Query and manage data confidently with SQL & MySQL
  • Analyze data programmatically with Python, NumPy & Pandas
  • Visualize data using Matplotlib, Power BI, Tableau & Google Looker Studio
  • Apply statistics and Exploratory Data Analysis (EDA) to uncover business insights
  • Understand business analytics, data modeling, ETL concepts & API data handling
  • Build predictive models with basic Machine Learning & AI tools for data analysis
  • Automate reports, manage projects with Git & GitHub, and build a job-ready portfolio

Course Description

This 12-month, offline, instructor-led Diploma in Data Analytics course takes you from computer and spreadsheet fundamentals to industry-ready data analysis using Advanced Excel, SQL, Python, Power BI, Tableau and Google Looker Studio. Every session is conducted in person at our Rishikesh campus in small batches, so our trainers can guide you individually, review your work, and make sure you genuinely understand each concept before moving on.

By the end of the course, you will have completed real-world projects—including sales analysis, HR analytics, financial dashboards, and customer analysis—and will be prepared for roles such as Data Analyst, Business Analyst, BI Analyst, Reporting Analyst, or Junior Data Scientist.

Course Content

12 modules • 55 classroom sessions • 12 months • Offline batches only

  • Computer FundamentalsSession 1
  • Advanced MS ExcelSession 2
  • Advanced Excel FunctionsSession 3
  • Data CleaningSession 4
  • Data ValidationSession 5
  • Module AssessmentSession 6

  • Pivot TablesSession 1
  • DashboardsSession 2
  • Power QuerySession 3
  • Power PivotSession 4
  • Practical: Sales Analysis DashboardSession 5
  • Module AssessmentSession 6

  • SQL & MySQLSession 1
  • Database ManagementSession 2
  • Practical: Business Reporting with SQLSession 3
  • Module AssessmentSession 4

  • Python ProgrammingSession 1
  • NumPySession 2
  • PandasSession 3
  • Practical: Data Analysis with PandasSession 4
  • Module AssessmentSession 5

  • MatplotlibSession 1
  • Data VisualizationSession 2
  • Practical: Customer Analytics VisualizationSession 3
  • Module AssessmentSession 4

  • Statistics for Data AnalyticsSession 1
  • Exploratory Data Analysis (EDA)Session 2
  • Practical: EDA on Real-World DatasetSession 3
  • Module AssessmentSession 4

  • Business AnalyticsSession 1
  • Data ModelingSession 2
  • ETL ConceptsSession 3
  • API Data HandlingSession 4
  • Practical: HR Analytics ReportSession 5
  • Module AssessmentSession 6

  • Microsoft Power BISession 1
  • Practical: Financial Dashboard in Power BISession 2
  • Module AssessmentSession 3

  • TableauSession 1
  • Google Looker StudioSession 2
  • Practical: Business Reporting DashboardSession 3
  • Module AssessmentSession 4

  • Basic Machine LearningSession 1
  • AI Tools for Data AnalysisSession 2
  • Report AutomationSession 3
  • Practical: Predictive Sales AnalysisSession 4
  • Module AssessmentSession 5

  • Git & GitHubSession 1
  • Practical: Customer Segmentation AnalysisSession 2
  • Module AssessmentSession 3

  • Resume BuildingSession 1
  • Interview PreparationSession 2
  • Portfolio DevelopmentSession 3
  • Practical: Capstone — End-to-End Business Analytics ProjectSession 4
  • Final Presentation & CertificationSession 5

Requirements

  • Basic computer knowledge (typing and internet browsing)
  • No prior data analytics or programming experience required — we start from the basics
  • A notebook and willingness to practice between sessions
  • Minimum qualification: 10th pass or above (graduation preferred)

Who This Course Is For

  • Students and graduates who want to start a career as a Data Analyst, Business Analyst or BI Analyst
  • Working professionals looking to upskill into Reporting Analyst or Junior Data Scientist roles
  • Anyone who wants to make confident, data-driven business decisions using Excel, SQL, Python & Power BI
  • Anyone who prefers learning in person over online video courses
This Course Includes
  • 100% Offline Classroom Sessions
  • Duration: 12 Months
  • Level: Beginner to Advanced
  • 10+ Real-World Projects Included
  • Industry-Recognized Certification
  • Internship & Placement Assistance
  • Study Material Included
  • Available at Both Branches
  • Small Batch, Personal Attention
Affordable Fees
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