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Jumpstart your career with IIT Madras & Intellipaat’s advanced certification in Data Science & Business Analytics course. Master the domain with multiple business case studies and industry-relevant projects under the guidance of the esteemed IIT Madras faculty.
Upskill for Your Dream Job
Learning Format
Online Bootcamp
Live Classes
7 Months
Career Services
by Intellipaat
CCE IIT Madras
Certification
500+
Hiring Partners
About Program
The program led by the IIT Madras faculty aims at helping learners develop a strong skillset including descriptive statistics, probability distributions, predictive modeling, Time Series forecasting, Data Architecture strategies, Business Analytics, and other skills to excel in this field.
Free Career Counselling
We are happy to help you 24/7
About IIT Madras Digital Skills Academy
IIT Madras Digital Skills Academy has initiated various programs in partnership with NASSCOM. The courses offered by them aim to upskill millions of students and professionals in trending technologies through a blend of theoretical and hands-on knowledge and are taught by leading academicians.
Upon Completion of this course, you will:
55% Average Salary Hike
$1,20,000 Highest Salary
12000+ Career Transitions
400+ Hiring Partners
Use data analysis and data processing to understand business challenges and offer the best solutions to the organization.
Extract data from the respective sources to perform business analysis, and generate reports, dashboards, and metrics to monitor the company’s performance.
Create blueprints for managing data so as to facilitate easy integration, centralization, and protection of the database along with due security precautions.
Build a cross-brand and robust strategy of data acquisition and analytics, along with designing raw data transformation for analytical application.
Design and build Machine Learning models to derive intelligence for the numerous services and products offered by the organization.
With the help of several Machine Learning tools and technologies, build statistical models with huge chunks of business data.
SQL
Data Wrangling
Data Analysis
Prediction algorithms
Data visualization
Time Series
Machine Learning
PowerBI
Advanced Statistics
Data Mining
R Programming
The application is free and takes only 5 minutes to complete.
Learning about various Data Manipulation and Data Handling techniques with the help of the following:
1. MS-Excel –
2. Python
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. What is Data Science – Significance of Data Science in today’s data-driven world, its applications of the lifecycle, and its components Introduction to R programming and RStudio
Case Study
This case study will cover the following concepts:
2. Data Exploration –
Case Study
This case study will cover the following concepts:
3. Data Manipulation
Case Study
This case study will cover the following concepts:
1. Descriptive Statistics –
2. Probability
3. Inferential Statistics –
4. Case Study
This case study will cover the following concepts:
1. Business Domains – Learn about various business domains and understand how one differs from the other.
2. Understanding the business problems and formulating hypotheses – Learn about formulating hypotheses for various business problems on samples and populations.
3. Exploratory Data Analysis to Gather insights – Learn about the exploratory data analysis and how it enables a fool proof producer of actionable insights.
4. Data Storytelling: Narrate stories in a memorable way – Learn to narrate business problems and solutions in simple relatable format that makes it easier to understand and recall.
5. Case Study
This case study will cover the following concepts:
1. Regression
2. Trees(Decision Tree And Random Forest)
3. Case Study
This case study will cover the following concepts:
1. Introduction to KNIME – learn about the KNIME tool that can be quite efficient for data analytics, creating workflows, etc.
2. Working with data in KNIME – Learn about creating workflows, loading datasets in KNIME, etc.
3. Loops in KNIME – Learn about the loops in KNIME that enables efficient data transformation in KNIME
4. Web scraping in KNIME – Learn about techniques in KNIME that enable web scraping to collect data directly from the web.
5. Feature Selection, Hyperparameter optimization in KNIME – Learn about hyperparameter optimization, feature selection in KNIME that will enable efficient machine learning models.
6. Case Study:
This case study will cover the following concepts:
1. Introduction to Machine learning
2. Regression
3. Classification
4. Clustering
5. Supervised Learning – Linear regression, logistic regression, decision tree, random forest, support vector machine, gradient descent, K-nearest neighbor, time series forecasting, etc.
6. Unsupervised Learning – K-means clustering, dimensionality reduction, linear discriminant analysis, principal component analysis, etc.
7. Performance Metrics – Classification reports, recall, precision, f-support, confusion matrix, true positive, false positive, true negative, false negative, r2, adjusted r2, mean squared error, etc.
8. Case Study:
This case study will cover the following concepts:
1. Power BI Basics
2. DAX
3. Data Visualization with Analytics
Hands-on Exercise:
This case study will cover the following concepts:
1. Introduction to Presto – Learn about presto, what it is used for, and how the distributed SQL query engine works towards analytics and big data.
2. Data Transformation using Presto –
1. Problem Statement and Project Objectives – You will learn how to formulate various problem statements and understand the business objective of any problem statement that comes as a requirement.
2. Approach for the Solution – Creating various statistical insights based solutions to approach the problem will guide your learnings to finish a project from scratch.
3. Optimum Solutions – Formulating actionable insights backed by statistical evidence will help you find the most effective solution for your problem statements.
4. Evaluation Metrics – You will be able to apply various evaluation metrics to your project/solution. It will validate your approach and point towards shortcomings backed by insights, if any.
5. Gathering Actionable insights – You will learn about how a problem’s solution isn’t just creating a machine learning model, the insights that were gained from your analysis should be presentable in the form of actionable insights to capitalize on the solutions formulated for the problem statement.
1. Customer Churn – The case study involves studying the customer data for a given XYZ company, and using statistical tests and predictive modeling, we will gather insights to efficiently create an action plan for the same.
2. Sales Forecasting – By studying the various patterns and sales data for a firm/store, we will use the time series forecasting method to forecast the number of sales for the next given time period(weeks, months, years, etc.)
3. Census – After studying the population data, we will gather insights and through predictive modeling try to create actionable insights on the same, it could be average income of an individual, or most likely profession, etc.
4. Predictive Modeling – Various case studies on categorical and continuous data, to create predictive models that will predict specific outcomes based on the business problems.
5. HR Analytics – Based on the data provided by a firm, we will study the HR analytics data, and create actionable insights using various statistical tests and hypothesis testing.
6. Dimensionality Reduction – To understand the impact of multidimensional data, we will go through various dimensionality reduction techniques and optimize the computational time on the same that will eventually be used for various classification and regression problems.
7. Housing – A case study that will give you insight into how real estate firms can narrow down on the pricing, customer choices, etc. using various predictive modeling techniques.
8. Customer Segmentation – Using unsupervised learning techniques, we will learn about customer segmentation, which can be quite useful for e-commerce sectors, stores, marketing funnels, etc.
9. Inventory Management – In this case study, you will learn about how meaningful insights can be used to drive a supply chain, using predictive modeling and clustering techniques.
10. Disease Prediction – A medical endeavor that is achieved through machine learning will give you an insight into how the predictive model can prove to be a great marvel in early detection of various diseases.
11. Image Classification – The case study will entail working with image data, and how simple machine learning techniques can be useful to recognize image data at the behest of well trained and optimized machine learning models.
The application is free and takes only 5 minutes to complete.
Projects will be a part of your Certification in Data Science & Business Analytics to consolidate your learning. It will ensure that you have real-world experience in Data Science & Business Analytics.
Practice 20+ Essential Tools
Designed by Industry Experts
Get Real-world Experience
Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.
Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage
Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.
Guaranteed 3 job interviews upon submission of projects and assignments. Get interviewed by our 400+ hiring partners.
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.
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
Application Review
Selected candidates will be notified within 1–2 weeks
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) |
Regular Classes | 26th June 2022 | 08:00 PM IST | Weekend (Sat-Sun) |
IIT Madras has been ranked no.1 as per the NIRF 2020 ranking list in both the ‘overall’ and ‘engineering’ colleges category. The institute has been receiving 1st rank for 5 consecutive years.
Upon completion of the Data Science and Business Analytics training and execution of the various projects in this program, you will receive a joint Advanced Certification in Data Science and Business Analytics from Intellipaat and IIT Madras.
This certification in Data Science and Business Analytics is conducted by leading experts from IIT Madras and Intellipaat who will assist you in kick-starting your career in these domains through the vast industry-relevant experience that they carry.
Also, the course curriculum along with videos, live sessions, and assignments will help you gain in-depth knowledge in Data Science and Business Analytics, apart from providing hands-on experience in these domains through real-time projects.
If you fail to attend any of the live lectures, you will get a copy of the recorded session in the next 12 hours. Moreover, if you have any other queries, you can get in touch with our course advisors or post them on our community platform.
To register for the program, you can reach out to our learning consultants or contact us through the above-given details on this page.
There will be a 2-day campus immersion module at IIT Madras during which learners will visit the campus. You will learn from the faculty as well as interact with your peers. However, this is subject to COVID-19 situation and guidelines provided by the Institute. The cost of travel and accommodation will be borne by the learners. However, the campus immersion module is optional.
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