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MAS101

MAS101

Our flagship offering specially crafted for Pre Final year students in IITs to ace the best Data Science, Data Analytics, Product, and Consultancy roles.
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Our Numbers over the years

  • Super Mentors
  • End to End Placement Preparation
  • Empowering Fee Structure
Know more about Pay After Placement
Rangan Sarkar

Senior Associate

Why choose MAS?

Job Support

  • Multiple hiring partners for off-campus placement.
  • Access to 1000+ MAS alumni job network
  • Dedicated job search assistance team
  • No fees till you are placed at >= 7 LPA
  • In-house hiring platform for easy application tracking

Our Diverse Platforms

Test @MAS
  • Asses your test prep for your dream job. 📝
  • Real company pattern, detailed analytics 🔢
  • Trusted by IIT-Bombay Placement cell. ✅
  • Interview @MAS
  • Perfect your interview skills- 🌟
  • Chose from over 50+ experienced mentors 🎓
  • Receive invaluable feedback and improve 📈
  • Learn @MAS
  • Dive into interactive learning!- 🚀
  • Enjoy powerful features, premium content, and make learning fun and engaging! 🎓
  • Our Alumni's Triumph

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    Hands on Industry Projects

    Unlock 30+ industry projects in SQL, Python, ML, and Excel 🚀
    Get step-wise walkthrough, Potential questions and completion certificate 🏅

    Starbucks Customer Segmentation

    Python || Pandas || Matplotlib || NumPy || Scikit-learn
    Enhancing Starbucks marketing through data-driven customer segmentation for personalized campaigns, loyalty growth.

    Course Timeline

    Here is a brief overview of the course timeline

    • Week1 - Week2

      Get Started
      • Webinar on How to Ace internship

      • Webinar on How to get job ready

    • Week3 - Week4

      MS Excel + Stats Course
      • Introduction to MS Excel

      • LOOK UP Function

      • Pivot Tables

      • Linear Regression in MS Excel

      • Descriptive Statistics

      • Inferential Statistics

      • Data Visualisation using Tableau/Power BI

    • Week5 - Week6

      Python Programming
      • Introduction to Python

      • Understanding Operators

      • Basics of Data Structures

      • Implementation Level Coding

    • Week7 - Week8

      Machine Learning Course
      • Understanding Python Libraries

      • Data Visualisation using Matplotib & Seaborn

      • Data Wrangling using Pandas

      • Supervised Learning

      • Unsupervised Learning

      • Evaluation Metrics

      • Feature Engineering

    • Week9 - Week10

      SQL Course
      • Webinar on How to Ace internship

      • Webinar on How to get job ready

    • Week11 - Week12

      Hands on Experience
      • Basic Commands in SQL

      • Advanced Commands in SQL

      • Joins in SQL

      • Subqueries

    • Week13 - Till Placement

      Concept Brushing
      • MS Excel Project

      • Data Analytics Project

      • Data Science Project

    View Detailed Timeline

    Course Charges

    Our Success = Your Success!
    Pay After Placement when you start earning

    Frequently asked questions

    All those who are willing to start their journey as professionals in the field of business analytics, product analytics and data analytics can apply for the course.

    It will begin from the starting of June and will go on till you are placed.

    Our mentors are graduates from IIT Alumns having 1 - 5 years of experience in the relevant fields.

    My Analytics School prioritizes your needs and provides customized one-to-one mentorship along with regularly tracking your progress and providing feedback.

    We will be providing regular tests and covering both technical and non-technical aspects along with mock interviews related to analytics placement.

    The course is designed by people who have experienced the same journey before and hence My Analytics School course will focus on dealing with the target areas for better results.

    Batch Starts from
    June 01, 2024
    Time Commitment
    12/16 Hours per week
    Suited for
    IITs
    Cost
    Zero + PAP
    Register Now

    Register with Us

    Fill the form our team will get back to you.