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DA DS Bootcamp
DA/DS Bootcamp
A bootcamp to boost your preparation for data roles with comprehensive preparation and placement support.

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Discover your path to success in data analytics and science at my analytics school. Elevate your profile and secure your dream job in the dynamic field of data. Unleash your potential with us and take the first step towards a rewarding career.

Our Offerings

Training and Upskilling

Get hold of the perfect placement preparation strategy in order to get an edge over others by our extensive practice tests, company-specific tests, courses, projects and regular discussions.

1:1 Mentorship

This program will help you connect with an appropriate mentor to provide you guidance, support, encouragement, and growth in a competitive environment.

Interview Preparation

Learn to draft a winning resume, present it in a curated manner and ace the job placements with our mock interviews and GD sessions.

Off-Campus Placement

Off Campus placement is also in the books. Get connected to the emerging market opportunities via our HR pipeline. We are here to assist.

Course Timeline

Here is a brief overview of the course timeline

  • Week 1 - Week 2

    Introduction to Data Analytics
    • Course Introduction and Onboarding

    • Introduction to Data Analytics Domain

    • Communication Enhancement (Writing Skills, Email Etiquette, Professional Communication)

    • Tools Usage: GitHub, LinkedIn Optimization

    • Profile Building: Cover Letter, Mail Formats

    • Data Science Fundamentals

  • Week 3 - Week 4

    SQL fundamentals to advanced
    • Introduction to Databases

    • Basic SQL Syntax (SELECT, FROM, WHERE)

    • Retrieving Data with SQL Queries

    • SQL Practice Exercises

    • Communication Enhancement Activity

    • Advanced SQL Queries (JOINs, GROUP BY, HAVING)

    • SQL Functions, Aggregations & Sub Queries

    • Communication Enhancement Activity

  • Week 5 - Week 6

    Excel and Power BI
    • Excel Basics

    • Pivot Table and Lookup functions

    • Introduction to Power BI

    • Data Wrangling and Modeling

    • Visualization Powerhouse

    • Communication Enhancement Activity

    • Data Visualization Capstone Project - PowerBI/Tableau

    • Quantitative Aptitude Techniques

    • Logical and Analytical Reasoning, LR & DI

    • Communication Enhancement Activity

  • Week 7 - Week 8

    Python and EDA
    • Introduction to Python

    • Python Variables and Data Types

    • Basic Input/Output

    • Conditional Statements and Loops in Python

    • Lists, Tuples, and Dictionaries in Python

    • Functions and Modules

    • Basic Coding Exercises

    • Communication Enhancement Activity

  • Week 9 - Week 10

    Python Libraries in Machine Learning
    • Libraries in Python (NumPy, Pandas)

    • Libraries in Python (SciPy)

    • Communication Enhancement Activity

    • Master data visualization using Matplotlib and Seaborn

    • Explore Power BI for advanced visualization

    • Engage in Exploratory Data Analysis (EDA) techniques

    • Communication Enhancement Activity

  • Week 11 - Week 12

    Statistical Analysis
    • Descriptive Statistics

    • Probability and Distributions

    • Hypothesis Testing

    • Correlation and Regression Analysis

  • Week 13 - Week 14

    Dive into Machine Learning
    • Introduction to Machine Learning essentials

    • Supervised Learning (Regression, Classification)

    • Unsupervised Learning (Clustering, Dimensionality Reduction)

    • Model Evaluation and Metrics

    • Advanced Machine Learning Algorithms

    • Quantitative Revision & Practice

    • Deep Learning Techniques

    • Monthly Assessments

    • Bi-weekly Topic-specific Tests (2 per month)

  • Week 15 - Week 19

    Step into Real World
    • Internship - (With MAS Partners)

    • Project 1 - Tech (ML/DL/AI)

    • Project 2 - Tool (SQL, Tableau/PowerBI, Statistics)

    • Introduction to Guesstimates

    • Solving Guesstimate Problems

    • In-depth Case Study Analysis

    • Communication Enhancement Activity

    • Mock Guesstimate and Case Study Practice

    • Final Mock Tests & Resume Building

    • Interview Preparation and Soft Skills

    • Communication Enhancement Activity

  • Week 19 - Week 23

    Dive into Gen AI, Cloud, Big Data & Mocks
    • Journey into Gen AI Technologies

    • OpenAI API, LangChain, Prompt Engineering, Gradio

    • Communication Enhancement Activity

    • Understand Big Data Concepts (Hadoop, Spark)

    • Introduction to cloud platforms (AWS, Azure, GCP)

    • Communication Enhancement Activity

    • Final Preparations and Placement Support

    • Mock Interviews

    • Resume Building and Resume Preparation

    • Company Research

    • Networking and Industry Insights

    • Placement Support and Guidance

    • Communication Enhancement Activity

View Detailed Timeline

Course Charges

Our Pay After Placement program (PAP) is designed to support students in building their careers.
Students can avail themselves of our services by paying a registration fee and contributing a small percentage of their income after securing a job.

Customized & Efficient Training

250 Hours

of Tech Training

250 Hours

of Quantitative Aptitude Training

200+

Tech and Aptitude Test

72+ Hours

of Non-Tech Training

150 Hours

of Soft Skills and Leadership training

1

Industry Centric Internship

1

Analytics/Visualization Capstone Project

1

SQL/ML/Tech Capstone Project

Our Educational Journey Gaining Momentum

Frequently asked questions

This bootcamp is an intensive program designed to equip you with the skills and knowledge needed to launch a successful career in analytics and data science. You'll learn essential tools, techniques, and frameworks through a combination of lectures, hands-on projects, and mentorship.

Absolutely! No data whiz is needed. We build skills from scratch, teaching everything from stats and programming to cutting-edge data analysis. Join us and unleash your inner data hero!

While prior knowledge of statistics and programming is beneficial, it's not mandatory. We offer foundation modules to help you get up to speed before diving into core topics.

By the end of the program, you'll be able to: Collect, clean, and analyze data using Python and relevant libraries. Build and evaluate machine learning models. Communicate data insights effectively through visualizations and reports. Develop a portfolio of projects showcasing your skills and get a job

The bootcamp duration is 4 Months and the processes are inspired from MAS 101 Batch.

We cover a comprehensive curriculum spanning core areas like data wrangling, statistical analysis, machine learning, deep learning, and data visualization. You'll also have the opportunity to specialize in specific areas like business intelligence.

Yes, upon successful completion of the program, you'll receive a Specialization Certificate from verified issuer. This can enhance your resume and demonstrate your skills to potential employers.

You'll have access to industry-standard software, learning platforms, and resources. We also provide E-textbooks, study materials, and career guidance resources.

Graduates have landed positions in various roles like Data Analyst, Business Intelligence Analyst, Machine Learning Engineer, Data Scientist, and more. We actively connect you with hiring partners and provide career coaching to help you land your dream job.

Absolutely! We provide resume and portfolio assistance, interview preparation training, and job placement guidance. We also have a dedicated alumni network to connect you with industry professionals.

While salary varies depending on factors like experience and location, our graduates typically command salaries within the range of 7 LPA to 40 LPA.

We offer flexible payment plans and scholarship opportunities to make the program accessible to everyone.

Yes, please visit our testimonials page to hear from our successful graduates and see how they've leveraged the program to launch their careers.

Data-hungry leaders across industries! Think tech giants like Google and Amazon, consulting firms like Mckinsey and Deloitte, innovative startups, and established financial institutions like Citibank and ICICI Bank. We boast over 160 partner companies seeking exceptional data talent, including Accenture, Fractal, Mastercard, and Tata. Basically, if you dream of working with a top brand, we've got you covered.

Absolutely! Complete 80% of our bootcamp, and unlock a world of opportunities with our placements program. We connect you to top companies, offer expert guidance, and provide unwavering support. Plus, our commitment lasts for 12 months post-graduation. Secure your dream data job, or don't pay any PAP. Your success, our promise!

Register with Us

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