Data Analytics Course in Nellore

    12 WeeksBeginner to IntermediateOffline classroom · Nellore

    Analyst work is less about exotic tools and more about answering business questions with data — cleanly, repeatably, and in a form a manager can read. This 12-week offline course in Nellore teaches that complete workflow in the order real analysts use it: Excel first, then SQL, then Python, then Power BI.

    Each phase is practical. Excel covers formulas, pivot tables and dashboard discipline; SQL covers joins, grouping and the query patterns reporting teams live in; Python covers Pandas-based cleaning and Matplotlib charting in Jupyter notebooks; Power BI covers data models, interactive dashboards and KPI reporting. The final two weeks are business case studies — retail, HR, sales or operations — where you produce the reports and present the findings yourself.

    You leave with a portfolio: a sales dashboard, a SQL case study, a Python cleaning notebook and a Power BI executive report, built at your own system in our Nellore classroom with a trainer beside you.

    Who this course is for

    The course fits:

    • Graduates
    • MIS / reporting learners
    • Career switchers
    • Analyst aspirants

    Week-by-week syllabus

    The same syllabus we teach in the classroom — no surprises after you join.

    1. Excel for Analysis

      Weeks 1-2
      • 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
    2. SQL for Analysts

      Weeks 3-4
      • 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
    3. Python Analysis Workflow

      Weeks 5-7
      • 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
    4. Power BI Reporting

      Weeks 8-10
      • 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
    5. Business Case Studies

      Weeks 11-12
      • 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

    Duration, fee and batch timings

    Duration

    12 Weeks

    Offline Coding Classroom + Dedicated Coding Portal

    Fee

    Ask us on WhatsApp

    We'll send the current fee and installment options.

    Batch timings

    Weekday batches available • Call to confirm the latest slot

    Open Mon – Sat, 8:30 AM – 8:30 PM · Sun, 10:00 AM – 1:00 PM

    Roles this workflow maps to

    Every tool in the course was chosen because entry-level analyst job descriptions ask for it:

    MIS / reporting executive

    Excel dashboards and disciplined workbooks are the day-to-day of MIS roles in local firms.

    Junior data analyst

    SQL plus Pandas plus Power BI is the standard toolkit these openings screen for — largely metro or remote roles.

    Business reporting in your own company

    Owners and managers join to build the dashboards their business currently lacks.

    A base for AI/ML

    The Python and data-handling phases lead directly into our AI/ML track.

    Frequently asked questions

    Do I need coding or advanced maths?

    No. The course starts in Excel, and Python is taught from basics when you reach it in week 5. The maths involved is business arithmetic — sums, averages, percentages, trends.

    Which tools exactly will I learn?

    Excel (formulas, pivots, dashboards), SQL (SELECT, joins, GROUP BY, subqueries), Python (NumPy, Pandas, Matplotlib, Jupyter) and Power BI (Power Query, data models, interactive dashboards).

    How long is it, and when are batches?

    12 weeks, weekday batches at multiple timings — message us for the next slot. Batches stay small (25–30 students) and every student works on a dedicated system.

    Will I have something to show at the end?

    Yes — four portfolio pieces: a sales analytics dashboard, a SQL reporting case study, a Python data-cleaning notebook and a Power BI executive report, plus a Certificate of Completion you can verify online.

    What is the fee?

    Message us on WhatsApp and we'll send the current fee and installment options for the next analytics batch.

    Visit the classroom

    S2 Multiplex Road, Opp. HP Petrol Pump, VRC Center, Nellore
    Landmark: opposite the HP Petrol Pump, VRC Center

    Mon – Sat, 8:30 AM – 8:30 PM · Sun, 10:00 AM – 1:00 PM

    +91 99893 09198