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Our Data Science and Machine Learning course is integrated with MITxMicroMasters and designed by domain experts to help you master data science, Python, machine learning, etc., with real-time projects. learn from the top faculty at MIT and get access to minimum 10 interviews within 6 months of the course completion. Enroll Now!
Learning Format
Online Bootcamp
Live Classes
6 Months
Minimum
10 interviews
MITxMicroMasters
Certification
EMI Starts
at ₹4000/month*
This Post Graduate program in Data Science course has been designed by industry experts to help you master essential data science skills to land into your dream job in fortune 500 companies and top startups.
About MIT and MIT IDSS
MIT provides its students with an education that blends the excitement of discovery and invention with rigorous academic sessions. Their motto is “mens et manus”, meaning “mind and hand”, signifying the fusion of academic knowledge with practical functionality. MIT IDSS strives to advance education and research in state-of-the-art analytical methods in information andRead More..
Upon completion of this PG program on Data Science and Machine Learning, you will:
55% Average Salary Hike
$1,20,000 Highest Salary
12000+ Career Transitions
400+ Hiring Partners
Career Transition Handbook
*Past record is no guarantee of future job prospects
With the help of several machine learning tools and technologies, they build statistical models with large chunks of business data.
They understand the issues and create models based on the data gathered and manage a team of data scientists.
They design and build machine learning models to derive intelligence for the services and products offered by the organization.
They build strategies on frameworks and technologies to develop AI solutions and help the organization prosper.
They create and manage pluggable service-based frameworks that are customized to import, cleanse, transform, and validate data.
They extract data from the respective sources to perform business analysis and generate reports, dashboards, and metrics to monitor the organization’s performance.
Skills to Master
Linear Classifiers
Perceptron Algorithm
Maximum Margin Hyperplane
Stochastic Gradient Descent
Linear Regression
Recommender Problems
Collaborative Filtering
Non-linear Classification
Kernels
Neural Networks
Deep Learning
Recurrent Neural Networks
VC-dimension
Unsupervised Learning
Generative Models
EM Algorithm
Reinforcement Learning
Natural Language Processing (NLP)
MS-Excel –
1. Excel Fundamentals
2. Excel For Data Analytics
3. Data Visualization with Excel
1. Python
2. Linux
1. SQL Basics –
2. Advanced SQL –
3. Deep Dive into User Defined Functions
4. SQL Optimization and Performance
Hands-on exercise:
Writing comparison data between past year to present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data, and identifying the demand in the future(using complex subqueries, functions, pattern matching concepts).
1. Descriptive Statistics –
2. Probability
3. Inferential Statistics –
1. Machine Learning libraries – You will learn about various libraries in python that supports machine learning like scikit-learn, keras, tensorflow, etc and other supporting libraries like pandas, numpy, pandas, matplotlib, seaborn, scipy, stats, etc.
2. Introduction to Machine learning
3. Regression
4. Classification
5. Clustering
1. Supervised Learning
2. Unsupervised Learning
3. Performance Metrics
4. Reinforcement Learning
5. Text Mining, Cleaning, and Pre-processing
6. Text classification, NLTK, sentiment analysis, etc.
7. Sentence Structure, Sequence Tagging, Sequence Tasks, and Language Modeling
8. AI Chatbots and Recommendations Engine
1. Introduction to MLOps
2. Deploying Machine Learning Models
1. Power BI Basics
2. DAX
3. Data Visualization with Analytics
Hands-on Exercise:
Creating a dashboard to depict actionable insights in sales data.
The capstone project focuses on establishing a strong hold of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The capstone project will help you master the following verticals:
Projects in data science and machine learning will be a part of your certification to consolidate your learning and ensure that you have real-world industry experience.
Practice 20+ Essential Tools
Designed by Industry Experts
Get Real-world Experience
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Submit Application
Tell us a bit about yourself and why you want to join this program
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates will be notified within 3 days
Total Admission Fee
EMI Starts at
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs
Financing Partners
Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.
Date | Time | Batch Type | |
---|---|---|---|
Program Induction | 26th June 2022 | 08:00 PM IST | Weekend (Sat-Sun) |
Weekend (Sat-Sun) | 26th June 2022 | 08:00 PM IST | Weekend (Sat-Sun) |
You will get a chance to appear and prepare for a minimum of 10 job interviews with top MNCs post the completion of your course. During this period our placement assistance services will be constantly in touch with you to facilitate the interview process.
The following is expected from the candidates during the minimum 10 interview program’ period:
The following is expected from the candidates during the course period:
The course will go on for 6 months along with the live classes, assignments, case studies, and project work. To effectively understand the topics and grasp the concepts, candidates are required to devote 10 hours per week. This will also help in better preparation for the job interviews.
You can always reach out to our support team. Additionally, you will be allocated dedicated teaching assistants who will also be available, apart from your instructors, for doubt clearance.
The trainers of this program are leading industry experts with tremendous knowledge in the field.
What is included in this course?