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Go from beginner to pro in 4 months
With a curriculum designed and taught by industry experts, you will get the skills and mentorship for guaranteed success.
On-demand classes
Live doubt clearing sessions
Industry-level projects
Become placement-ready
Prepare to ace your placements with our career coaches, having 10+ years of experience. Say goodbye to placement anxiety!
Soft skills training
Cover letter & resume preparation
Mock interview practice
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Unlock a world of opportunities and start your journey to success - we assure you a secure career with our guaranteed placement!
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Have doubts about Data Science Placement Guarantee Course? Reach out to our counsellors by filling this form.
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Top career options in Data Science
Industry-recognized & government approved certification
Industry-Oriented Data Science Placement Guarantee Course Curriculum
To learn more about the course download the brochure
1 . Excel
- Introduction to charts
- Important chart types
- Project Problem Satement
Analyze Fitbit fitness tracker data to deliver marketing and business solutions to WeFit and its subsidiaries
2 . SQL
- Overview
- Theoretical concepts of SQL
- Basic SQL commands
- Restoring DB
- Selection commands: Filtering
- Selection commands: Ordering
- Alias
- Aggregate Commands
- Group By Commands
- Conditional Statement
- JOINS
- Subqueries
- Views and Indexes
- String Functions
- Mathematical Functions
- Date-Time Functions
- PATTERN (STRING) MATCHING
- Data Type conversion functions
- User Access Control Functions
- Types of Windows Functions
- For your Revision!
- Interview related theoretical concepts
- Performance enhancement tips
- PRACTICE MORE!
- Final project Problem statement
Use SQL to develop an auction strategy for a new IPL franchise by analyzing past IPL data to create a strong and balanced squad.
3 . Tableau
- Introduction
- Introduction
- Connecting with Data
- Assignment
- Binning and Grouping data
- Filtering and Sorting data
- Assignment
- Geo Map charts
- Calculations and analytics
- Parameters and Sets
- Dashboards
- Appendix
- Assignment
- PRACTICE MORE!
- Project Resources
Create a Sales Dashboard using Tableau to visualize the company sales performance of supermarket firm "Bigger bazaar".
4 . Machine Learning with Python
- Introduction
- Introduction
- Setting up Python and Jupyter Notebook
- Basics of Statistics
- Introduction to Machine Learning
- Module Assignment
- Exploring the data
- Important steps of preparing the data
- Module Assignment
- Understanding and building the model
- Test Train split
- How to prevent overfitting
- Module Assignment
- Introduction to the classification Models
- Logistic Regression
- Evaluating model performance
- Linear Discriminant Analysis (LDA)
- K-Nearest Neighbors classifier
- Comparing results from 3 models
- Module Assignment
- Understanding Simple Decision Trees
- Creating Decision tree in Python
- Simple Classification Tree
- Ensemble Techniques
- Module Assignment
- PRACTICE MORE!
- Project Resources
Use Python to build a linear regression model for a company to determine CTC/ Salary for new hires based on their past employment data.
5 . Interview Preparation
- Module Overview
- Guesstimate
- Puzzles
Build a decision tree model using Python to predict whether a movie will win an award or not, based on factors such as budget, genre, actor rating, etc.
Skills you will learn
Top corporate faculty
Program fees
starting at just ₹2,917 per month

FAQs
This viva will take place after you have completed all 5 courses in the Placement Guarantee course and submitted all the mandatory projects. In the viva, you will be asked questions based on concepts taught in the Placement Guarantee course and the projects you build.
Course | Final Test Marks | Capstone Project Marks |
---|---|---|
Excel | 100 | 100 |
SQL | 100 | 100 |
Tableau | 100 | 100 |
Machine Learning with Python | 100 | 100 |
Interview Preparation | 10 | 100 |
Total course marks | 410(A) | 500(B) |
Final viva | 500 (C) | |
Aggregate marks (A+B+C) | 1410 |
1. Min. 75% aggregate marks
2. Submission of the mandatory projects
3. Attending the viva and career planning session
Scenario (Assuming program fee to be Rs.19,000) | Reimbursement |
The student does a 1-month internship paying Rs.5,000/- per month | Rs.10,000/- per month guarantee has not been met. Reimbursement of Rs.5,000/- will be payable. |
The student does a 1-month internship paying Rs.10,000/- per month | Rs.10,000/- per month guarantee has been met. No reimbursement will be payable. |
The student does a 4-month internship paying Rs.5,000/- per month | Total stipend guarantee of Rs.20,000/- has been met. No reimbursement will be payable. |
The student does a 3-month internship paying Rs.5,000/- per month | Total stipend earned is Rs.15,000/- and the total stipend guarantee of Rs.20,000/- has not been met. The difference Rs.5,000/- will be reimbursed by Internshala |
- Be eligible and authorized to work in India during the internship guarantee period.
- Meet the required passing criteria to graduate from the Placement Guarantee course.
- Graduate from the Placement Guarantee course with-in the originally stipulated duration without requiring any extension.
- Make all the fee payment on a timely basis without any delay.
- Participate in ALL placement related activities & drives organized by Internshala.
- Make sincere and reasonable efforts to apply for various internships and jobs offered on Internshala and/or on other platforms and attend ALL interviews & selection processes arranged/offered by Internshala.
- Not decline any internship offer that they get during the internship guarantee period without Internshala's approval.
- Pass the background checks conducted by a company before starting the internship
- Neither leave an internship mid-way nor be terminated from it due to lack of performance or misconduct.
- Not indulge in any non-disciplinary behavior or action during the training period (including plagiarism)
- Not fail to meet any other condition as may be decided and communicated to them by Internshala from time to time.
These are mandatory sessions and in case the user isn't attending any session, they will be debarred from the guaranteed internship program. The user will still be able to access the learning content.