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Jumpstart your career in Data Science & Business Analytics through IIT Madras advanced certification in Data Science & Business Analytics course. Master data science and business analysis skills with multiple business case studies and projects.
Upskill for Your Dream Job
The program aims at helping learners develop a strong skill set including descriptive statistics, probability distributions, predictive modeling, Time Series forecasting, Data Architecture strategies, and Business Analytics as well as master domain knowledge required to excel in this field.
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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:
Key achievements of IIT Madras:
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.
Dr. Tangirala is a professor at IIT Madras with expertise in analytical chemistry and a keen interest in the fields of Controller Performance Monitoring, Time frequency analysis of Processes, and Fuel cells, etc.
He works as an assistant professor for the Biotech department at IIT Madras and holds a DSc from EPFL, Switzerland. His research interests span from modelling and optimization of biological networks to Machine Learning.
Prof.Babji is with IIT Madras as an assistant professor in the dept. of Applied Mechanics. He holds a Ph.D from Texas Tech University and his research interests span from Behavioural Informatics to Cognitive Systems Engineering.
Vinayak has over 13+ years of experience and specializes in Data Modeling , preparing KPIs, SQL query, Functional Dashboards with Qlik, Power BI, Sentiment Analysis, etc along with holding a CSM (Certified Scrum Master) certification.
A fellow of the Indian National Academy of Engg.,his research area includes data mining, process design & optimization, FDD etc. He has co-authored several reconciliation papers, a book and a course ‘Data Science for Engineers’ on the NPTEL platform.
Spending 25 yrs in data science, he has excelled in driving profitable brands using research & analytics in advertising , market research in companies like JWT, IBM etc. An alumnus of IIT Delhi & IIM Bangalore, he currently teaches analytics.
Module 1 – Preparatory Sessions – Data Transformation using Ms. Excel & Python
Learn how to do data analysis, data transformation and other important data analysis functions. Basic fundamental of Python and learn how to do data analytics using the same.
Module 2 – Data wrangling with SQL
2.1 Introduction to SQL
2.2 Database normalization
2.3 Entity-relationship model
2.4 SQL operators
2.5 Join, tables, and variables
2.6 SQL functions
2.8 SQL functions, views, and stored procedures
2.9 User-defined functions
2.10 SQL performance and optimization
2.11 Advanced concepts
Module 3 – Presto
3.1 Introduction to Presto
3.2 Writing Queries in Presto on large data sets.
3.3 Data Transformation using Presto
Module 4 – Introduction to Data Science & Statistics
4.1 Descriptive Statistics
4.2 Introduction to Probability
4.3 Probability Distributions
4.4 Hypothesis Testing and Estimation
4.5 Goodness of Fit
Module 5 – Business Problem Solving, Insights and Storytelling
5.1 Business domains
5.2 Understanding the business problem and formulating hypotheses
5.3 Exploratory data analysis
5.4 Data storytelling: Narrate stories in a memorable way
5.5 Project on deriving business insights and storytelling
Module 6 – Optimization Techniques
6.1 Linear programming
6.2 Goal programming
6.3 Integer programming
6.4 Mixed integer programming
6.5 Distribution and network models
Module 7 - KNIME
7.1 Introduction to KNIME
7.2 Working with data in KNIME
7.3 Loops in KNiME
7.4 Webscraping in KNIME
7.5 Hyperparameter optimization in KNIME
7.6 Hyperparameter optimization for Machine Learning Models using loops in KNIME
7.7 Feature Selection in KNIME
Module 8 – Statistics & Machine Learning using R Programming
8.1 Programming with R
8.2 Advance Statistics
8.3 Data Mining
Module 9 – Predictive Modeling
9.1 Multiple linear regression
9.2 Logistic regression
9.3 Linear discriminant analysis
Module 10 – Time-Series Forecasting
10.1 Introduction to time-series
10.4 Autoregressive models
Module 11 – Feature Engineering
11.1 Handling unstructured data
11.2 Machine Learning algorithms
11.3 Bias variance trade-off
11.4 Handling unbalanced data
11.6 Model validation
Module 12 – Advance Machine Learning Techniques
12.1 Hyper parameter optimization
12.2 Advance Machine Learning Libraries – XGBoost
12.3 Solving Problems on Kaggle
Module 13 - Data Science Execution Strategy
13.1 Framework to Data Science strategy
13.2 Mapping Data Science with data architecture strategy
13.3 Executing Data Science strategy
Module 14 – Business Case Studies
14.1 Marketing & retail analytics
14.2 Social analytics
14.3 Logistics & supply chain
14.4 Financial analytics
Module 15 – Visualization using Power BI
15.1 Introduction to Power BI
15.2 Data Extraction
15.3 Data Transformation – Shaping & Combining Data
15.4 Data Modelling & DAX
15.5 Data Visualisation with analytics
15.6 Power BI Service (Cloud), Q&A, and Data Insights
15.7 Power BI Settings, Administration & Direct Connectivity
15.8 Embedded Power BI with API & Power BI
15.9 Power BI Advance & Power BI Premium
Module 16 – Data Science Capstone Project
In the Data Science & Business Analytics Capstone project, you will use all the knowledge and skills you have acquired throughout this advanced certification program and get real world Industry project exposure.
The application is free and takes just 10-15 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
Predicting class of a flower with petals data
This project is made to predict the class of a flower. By analyzing the data about the petal and their dimensions, the class of the flower would be determined using a trained Machine Learning model that has optimum accuracy.
Data Analytics on Census dataset
The project is meant to analyze and predict whether an individual has an annual income of more than Rs 50000 or less using various machine learning techniques, some of which are supervised and unsupervised learning.
The project will be creating a model which would help in detecting Credit Card fraud using Machine Learning subcategories like supervised, unsupervised, and reinforcement learning techniques like Neural Network and Random Forest.
Analyzing impact factors of the pre-paid model in telecom
Select a pokemon whose primary type is “Grass”, secondary type is “Poison” with the maximum speed. It creates a model that predicts whether the selected pokemon is Legendary or not using Machine Learning and data analysis techniques.
Stock Market Analysis
This project focuses on Machine Learning by creating a predictive data model to predict the future stock prices. It also analyzes the current trends in the stock market using algorithms like Linear Regression and k-Nearest Neighbors.
Comment Identity & Classification
Work on the comment dataset of Yelp to build a multi-headed model that can identify & categorize various types of toxic comments (obscenity, insults, threats etc.). It must allow the user to find and select the required type
This project aims at building a book recommendation engine based on past reading and buying history of an individual. It will analyze the dataset using Machine Learning techniques, R programming and its various libraries.
Loan Approval Prediction
The project aims to analyze whether the applied loan would be approved or not by identifying the variables correlated with impacting factors. It is predicted using techniques such as Logistic Regression, Decision Tree and Random Forest.
Recommendation Engine using Netflix prize dataset
The recommendation engine is built using Netflix prize dataset that will collect the data from various sources of a user, anticipate their preferences and will recommend movies according to the user’s behavior and choices made earlier.
Digital Marketing Analyst | India
Post the training, I was able to shift from a Data Steward Specialist to an Analyst with a 35% salary hike. I gained a deep understanding of technical skills, especially in analytics. I can’t thank you enough, Intellipaat.
Data Steward Specialist
Digital Marketing Analyst
Data Analyst | India
I successfully transitioned from an Electrical Engineer to a Data Scientist in a few months after enrolling in this training from Intellipaat. I received great learning support and rich study material. Thank you Intellipaat.
B.Tech - Electrical, EC Engineering
Executive | India
After developing an interest in Data Analysis, I enrolled in the training. I am glad I got a job in this domain and shift from a non-tech role to a Data Analyst. Also, I am now much more confident in data analysis than before.
Associate , Client support
Data Scientist | Hyderabad
Today I am a certified Data Scientist and this has happened post I enrolled in this program. It covers all the necessary concepts and techniques in lucid language. I am thankful to Intellipaat for giving me this career growth.
Aircraft Maintenance Engineer
Big Data Developer | Dallas
The training helped me make a career transition from Computer Technical Specialist to Big Data developer with a 60% hike. The online sessions are engaging like any physical class and the trainers make the sessions interactive.
Computer Technical Specialist
Big Data Developer
Data Scientist | Bengaluru
Intellipaat offered me the best learning experience and today I have successfully transitioned from a Manager in Edutech to a Data Scientist. The comprehensive curriculum and the career guidance sessions helped me a lot.
Manager Analytics & Data Science
Data Engineer | Pune
Program Manager | Pune
Post this program, I was able to switch to the role of a Program Manager from a Microsoft Dynamics consultant. Gaining knowledge in the latest technologies as per industry standards, helped me in this career transition.
Microsoft Dynamics Consultant
Data Science Intern | Gurugram
I was able to achieve my goal of becoming a Data Science professional from being a lecturer due to Intellipaat. It offered a platform to learn data science from the best trainers. The real-life projects were the best part.
Data Science Intern
55% Average Salary Hike
$1,20,000 Highest Salary
12000+ Career Transitions
300+ Hiring Partners
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!
Career Oriented SessionsThroughout the course
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.
Resume & LinkedIn Profile BuildingAfter 70% of course completion
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
Mock Interview PreparationAfter 80% of the course completion.
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.
1 on 1 Career Mentoring SessionsAfter 90% of the course completion
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.
3 Guaranteed InterviewsAfter 80% of the course completion
Guaranteed 3 job interviews upon submission of projects and assignments. Get interviewed by our 400+ hiring partners.
Exclusive access to Intellipaat Job portalAfter 80% of the course completion
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.
I am happy to be able to complete this certification from Intellipaat. I appreciate the entire team for providing me with amazing learning experience through real-time projects and case studies.
Intellipaat provides a great learning environment inclusive of new-age technologies. I worked on many Data Science tools through live training and self-paced videos. The trainers are very supportive.
After much research and pondering, I started learning from Intellipaat. Given the great tutorials and trainers, with quick query resolution, the decision proves to be best. The experience was wonderful.
Since Data Science is a booming industry, learning it from Intellipaat has been the wisest decision. The curriculum covers all the current topics with efficient trainers and an effective support team.
The Data Science and Machine Learning course from Intellipaat was taught from the basics. The trainers are knowledgeable with clarity of practical concepts. The support team is prompt with the response.
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.
Tell us a bit about yourself and why you want to join this program
An admission panel will shortlist candidates based on their application
Selected candidates will be notified within 1–2 weeks
Total Admission Fee
Get a chance to win a early bird discount of up to $ 99/-
Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.
|Program Induction||26th Sep 2021||08:00 PM IST||Weekend (Sat-Sun)|
|Regular Classes||26th Sep 2021||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.
The course instructors of this Advanced Certification Course in Data Science and Business Analytics are experts and leading academicians from IIT Madras and professionals at Intellipaat. These trainers go through a rigorous selection process before signing up with us to teach the learners.
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.
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