Diploma in Applied Data Science

(Excel, Tableau, Power BI, SQL, Python, Scikit-Learn,
OpenAI Playground, Streamlit)

Duration: 3 Months

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What will you learn?

Excel
SQL
Statistics
Power BI
Tableau
Scikit-Learn
Scikit-Learn
Streamlit
Application Fee

Rs.500 + GST

Expected Course Commencement Date

14-June-2025

Last Date to Apply

31-May-2025

Course Fee

Rs. 70,000 + GST

Class Timings

    Days: Saturday & Sunday (Alternative Weekends)

    Duration: 6 Hours per day

    Time: 9:00 AM to 5:30 PM (Includes necessary breaks)

    Course Plan

    Total Classroom Session: 120 Hours

    Format: Physical Classroom Sessions – Hands-on Training

    Admission Process

    • Fill out the application form

    • Our expert team will review your application

    • Admission letter will be sent to your email ID

    • Pay the Course Fee

    Benefits of doing the programme

    Industry Experts Session

    1:1 Career Coaching Sessions

    Structured Programme

    120 Hours of Classroom Session

    Hands on
    Learning

    Practical Case Studies – Datasets

    Weekend Classes – Keep your job while you study

    Networking with top industry minds

    Programme Overview

    • Designed for working professionals, Freshers

    • Programming tools & Languages

    • 120 Hours of Hands-On Classroom Learning

    • Individuals looking to transition into the world of Data Analytics and Data Science

    • Developing core skills in Excel, Tableau, Power BI, SQL, Python, Scikit-Learn, OpenAI Playground, Streamlit—fundamental tools & applicatiofor any Data Science

    Job Opportunites

    Data Analyst
    Data Scientist
    Business Analyst
    Product Analyst
    Data Engineer

    Who is this Programme for?

    Business Managers and Executives

    HR & Recruiters

    Sales & Marketing Professionals

    Banking & Finance, Telecom, Healthcare Professionals

    Management Students

    Finance Executives

    Teachers & Professors

    Operations & Admin

    Logistics & Supply Chain

    Eligibility

    Bachelor’s Degree with minimum 50% or equivalent passing marks.

    No coding experience required

    Faculty

    Mr. Karthik Veer

    Syllabus

    • Advanced formulas (SUMIFS, INDEX-MATCH, IFERROR)
    • Pivot tables, dynamic charts & dashboards
    • In-class data cleaning exercises
    • Group task: Create a sales dashboard from scratch.

    • Data blending, calculated fields, filters
    • Hands-on dashboard development
    • Team exercise: Storytelling with Tableau dashboards.

    • Power Query transformations
    • Data modeling & DAX basics
    • Drill-through pages, bookmarks
    • Hands-on project: Retail performance dashboard.

    • Joins, subqueries, window functions
    • SQL challenges on large datasets
    • Mock test: Query writing in class.

    • Descriptive stats, hypothesis testing
    • ANOVA & chi-square applications
    • In-class assignment: A/B test analysis.

    • Pandas & visualization libraries
    • Data cleaning, wrangling, exploratory analysis
    • Mini project: Analyze and report on e-commerce data.

    • Regression & classification algorithms
    • Evaluation metrics and hyperparameter tuning
    • Live project: Churn prediction modeling.

    • Introduction to LLM concepts
    • Prompt engineering essentials
    • Hands-on demo: Build a chatbot using OpenAI API
    • Capstone project: Full presentation with industry panel feedback.

    Certificate