Courses/Back to Category
    Offline Career Track
    Beginner to Intermediate
    12 Weeks
    Aspiring data analysts

    Data Analytics

    Learn the full analyst workflow with Excel, SQL, Python, and Power BI in an offline program focused on business questions, dashboards, and reporting quality.

    Mode

    Offline Coding Classroom + Dedicated Coding Portal

    Batch Flow

    Weekday batches available • Call to confirm the latest slot

    Know More

    Call +91-9989309198 for the latest timings and admission support.

    Who This Is For

    GraduatesMIS / reporting learnersCareer switchersAnalyst aspirants
    Advanced Excel
    SQL
    Python
    Pandas
    Power BI
    Dashboards
    Data Analytics

    Offline Career Track

    Explore the full curriculum through module-wise content, practical work, and offline classroom guidance.

    COURSE OUTLINE

    Curriculum Timeline

    A full offline learning roadmap with visible content, guided practice, and room to add or remove curriculum items easily.

    Module 1Weeks 1-24 items

    Module 1

    Excel for Analysis

    Contents

    01

    Excel formulas, cleaning, pivot tables, dashboards, and reporting

    02

    Business metrics and workbook discipline

    03

    Interactive Excel summaries for everyday analysis

    04

    Use spreadsheets as your first analytics tool

    Module 2Weeks 3-44 items

    Module 2

    SQL for Analysts

    Contents

    01

    Query data using SELECT, joins, group by, case, and subqueries

    02

    Answer business questions using SQL

    03

    Build confidence with real reporting datasets

    04

    Write structured analyst-friendly SQL

    Module 3Weeks 5-74 items

    Module 3

    Python Analysis Workflow

    Contents

    01

    Python basics for analytics, Jupyter, and notebook workflow

    02

    NumPy and Pandas for cleaning, grouping, and transformation

    03

    Data handling, missing values, merges, and feature preparation

    04

    Matplotlib-based charting and data storytelling

    Module 4Weeks 8-104 items

    Module 4

    Power BI Reporting

    Contents

    01

    Power BI basics, data loading, and report structure

    02

    Power Query cleaning, semantic models, and visual design

    03

    Interactive dashboards, slicers, KPIs, and storytelling

    04

    Use modern Power BI workflows for business reporting

    Module 5Weeks 11-124 items

    Module 5

    Business Case Studies

    Contents

    01

    Retail, HR, sales, or operations case studies

    02

    Build Excel, SQL, Python, and Power BI based reports

    03

    Present findings and recommendations clearly

    04

    Prepare a data portfolio and analyst-ready project summary

    Projects You Will Build

    Sales analytics dashboardSQL reporting case studyPython data cleaning notebookPower BI executive report

    Tools & Tech Stack

    ExcelSQLPythonPandasMatplotlibPower BI

    Key Takeaways

    • Understand the complete data analyst workflow
    • Turn raw data into dashboards and business insights
    • Build portfolio projects aligned to entry-level analyst roles
    What You'll Master

    Skills That Help You Build Real Confidence

    Every concept listed here comes directly from the structured curriculum and is taught through classroom explanation plus practical implementation.

    Excel formulas, cleaning, pivot tables, dashboards, and reporting
    Business metrics and workbook discipline
    Interactive Excel summaries for everyday analysis
    Use spreadsheets as your first analytics tool
    Query data using SELECT, joins, group by, case, and subqueries
    Answer business questions using SQL
    Build confidence with real reporting datasets
    Write structured analyst-friendly SQL
    Python basics for analytics, Jupyter, and notebook workflow
    NumPy and Pandas for cleaning, grouping, and transformation
    Data handling, missing values, merges, and feature preparation
    Matplotlib-based charting and data storytelling
    Power BI basics, data loading, and report structure
    Power Query cleaning, semantic models, and visual design
    Interactive dashboards, slicers, KPIs, and storytelling
    Use modern Power BI workflows for business reporting
    Retail, HR, sales, or operations case studies
    Build Excel, SQL, Python, and Power BI based reports
    Present findings and recommendations clearly
    Prepare a data portfolio and analyst-ready project summary

    Our Mission

    What this course is built to do

    The Foundation

    Start strong and stay consistent

    • Start with excel for analysis and build momentum module by module in an offline classroom.
    • Every batch combines concept explanation with guided practice so learners do not get stuck learning alone.
    • Hands-on work starts early with practical builds like Sales analytics dashboard.

    The Journey

    Move toward practical results

    • Move through 5 structured modules with clear milestones and regular lab guidance.
    • Work toward outcomes like understand the complete data analyst workflow and turn raw data into dashboards and business insights.
    • Call +91-9989309198 to get the latest batch timings, fee details, and admission guidance.

    Classroom Screens

    A more premium offline learning experience

    Inspired by premium edtech layouts, these panels highlight how the course feels inside the classroom, lab, and support flow at CAT Computer Point.

    Classroom View
    Snapshot 1

    Mentor-led concept breakdown

    We teach offline with step-by-step explanation first, so every learner understands the idea before jumping into code or tasks.

    Excel for Analysis
    SQL for Analysts
    Python Analysis Workflow
    Lab Hour
    Snapshot 2

    Practice right after class

    Every course at CAT Computer Point includes guided practice so students can implement, debug, and revise with support in the room.

    Sales analytics dashboard
    SQL reporting case study
    SQL
    Offline Support
    Snapshot 3

    Batch guidance and real follow-up

    This is designed for an offline institute experience, with direct mentoring, revision help, and a simple call option for course guidance.

    Who it's for: Aspiring data analysts
    Call: +91-9989309198
    Understand the complete data analyst workflow
    Everything You Get

    Packed With Value, Built For Results

    This is not just a list of topics. It is an offline learning setup designed to help students understand, practice, and actually finish with useful outcomes.

    Offline classroom learning with guided practice
    Structured notes, worksheets, and revision support
    Daily doubt clarification with faculty
    Hands-on project: Sales analytics dashboard
    Portfolio task: SQL reporting case study
    Tool practice with Excel
    Batch guidance and follow-up support from CAT Computer Point
    Completion guidance and confidence-building review sessions

    Notes & Practice Support

    Included with your course

    Structured notes, guided lab sheets, and real offline support

    Since CAT Computer Point is offline-based, learners get direct explanation, in-class practice, and instructor-reviewed revision support instead of being left alone with only video content.

    Use your notes, revision points, assignments, and mini projects together so concepts stay fresh between classes and practical confidence keeps improving batch after batch.

    Need details on timings, fees, or the right track? Call +91-9989309198 and we'll help you choose the best batch.