Advanced Certification in Data Analytics for Business

Advanced Certification in

Advanced Certification in Data Analytics for Business


Table of Contents

1. About the Program

2. About IIT Madras Digital Skills Academy

3. About Intellipaat

4. Key Features

5. Career Support

6. Eligibility Criteria & Application Process

7. Learning Path

8. Course Advisor

9. Program Curriculum

10. Certification

11. Success Stories

12. Contact Us


About the Program

This Advanced Certification program in Data Science and Business Analytics helps

you master the skills looked by top employers for the various Data Science and

Analytics roles. This course will be delivered by top professors from IIT Madras and

subject matter experts from the industry. You will master skills like Data Wrangling,

Python, Machine Learning, Advance Statistics, R, Artificial Intelligence concepts and

more. At the end of this certification course, you will receive career services from

Intellipaat to help you get connected with top MNCs.

Our Data Science and Business Analytics course is an online training program

that aims to make you master all the basic and advanced level skills in the various

tools and technologies involved in the field of Data Science and Business

Analytics


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 the completion of this program, you will:

Receive live lectures from IIT Madras faculty & industry experts

Receive an advanced certification in Data Science and Business Analytics from IIT Madras

Digital Skills Academy & Intellipaat


About Intellipaat

Intellipaat is one of the leading online training providers with more than 1,00,0000

learners across 53+ countries. We are on a mission to democratize education as we

believe that everyone has the right to quality education.

Our courses are delivered by subject matter experts from top MNCs and our

world-class pedagogy enables to quickly learn difficult topics in no time. Our 24/7

technical support and career services will help learners jump-start their careers in

their dream companies.


Key Features

7 MONTHS OF LIVE

CLASSES 24/7 SUPPORT

20+ REAL-TIME

INDUSTRY PROJECTS 30+ CASE STUDIES

CERTIFICATION PROGRAM

FROM A TOP UNIVERSITY

CAREER SERVICES

BY INTELLIPAAT

INDUSTRY-RECOGNIZED CERTIFICATION

LEARN FROM IIT EXPERTS


Career Services by Intellipaat

Dedicated Learning Manager

Get mentored by experts, receive personalized feedback on your performance, and clarify your doubts in no time

Personalized Industry Mentor

We match your profile with the right industry mentor based on your past skills. Your mentor’s guidance will help you get prepared yourself for your dream job

Mock Interviews

Mock interviews to make you prepare for crackinginterviews by top employers

3 Guaranteed Interviews

Upon completion of the assignments and projects, we will help you in marketing your resume with our 400 + hiring partners which includes top start-ups and MNCs.

Resume Preparation & LinkedIn Profile Building

Get assistance in creating a world-class resume from our career services team


Eligibility Criteria & the Application Process

Those wishing to enroll in the Advanced Certification program in Data Science

and Business Analytics will be required to follow the admission process

mentioned below.

Who Can Apply

Individuals with a keen interest to learn Business Analytics and Data Science

IT professionals looking for a career transition as Data Scientists and Business Analysts

Developers and Project Managers

Application Process

The application process consists of three simple steps. Candidates have to

submit their application. An offer of admission will be made to the selected

candidates, and their application will be accepted upon the payment of the

admission fee.

SUBMIT APPLICATION

Tell us a bit about yourself and why you want to join

ADMISSION TEST & APPLICATION REVIEW

Clear the admission test and have a personal interview with our interview panel

ADMISSION LETTER

Shortlisted candidates would be offered the admission letter


Learning Path


Course Advisors & Faculty

Dr. Arun K. Tangirala

Professor, IIT Madras

Dr. Arun K. Tangirala, Ph.D. from University of Alberta, Edmonton, Canada,

is an IIT Madras Professor with expertise in Analytical Chemistry and a keen

interest in the fields of Controller Performance Monitoring, Time-Frequency

Analysis of Processes, Multivariate Data Analysis, Fuel Cells, etc.

Dr. Nirav Bhatt

Assistant Professor, IIT Madras

Dr. Nirav Bhatt works as an Assistant Professor for Bio-Tech Department,

IIT Madras. He holds a Docteur es Science (DSc) from EPFL, Switzerland.

His research interests span the Modelling and Optimization of Biological

Networks, Machine Learning, and data analysis of engineering systems.

Prof. Babji Srinivasan

Associate Professor, IIT Madras

Prof. Babji Srinivasan is an Associate Professor for Applied Mechanics,

IITM. He earned his Ph.D. from Texas Tech University in 2011. His research

interests include Behavioral Informatics, Cognitive Systems Engineering and

Human Cyber Physical Systems.

Vinodhini R.

Senior Data Scientist at Cisco

Guest faculty at IIM, Bangalore with over 13+ years of subject matter

expertise in Data Analytics, she specializes in Natural Language Processing

and Social Media Analytics also being a visiting faculty at IIM-Lucknow, IIM-

Bangalore, IMT Ghaziabad and other premier institutes.

https://intellipaat.com/wp-admin/post.php?post=312988&action=edit


Vinayak Panchaman

Business Intelligence Consultant at IKEA

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.

Prof. SHANKAR NARASIMHAN

Professor, IIT Madras

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.

Mr. Suresh Ramadurai

DATA SCIENCE CONSULTANT

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.


Program Curriculum

Preparatory Classes:

Data Transformation with MS Excel & Python– Working on data and analysis of

the same using basic level MS Excel functions will be taught.

Core Curriculum:

Module 1: Introduction to Data Science & Statistics

1.1 Descriptive Statistics – Mean, Median, Mode, Tables, Charts

1.2 Introduction to Probability

1.3 Probability Distributions - Binomial distribution, Poisson distribution, Normal distribution

1.4 Hypothesis Testing and Estimation

1.5 Goodness of Fit

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 2.7 Subqueries 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

Mean

Median

Mode

Tables

Charts

4.2 Introduction to Probability

Probability in Business Analytics

4.3 Probability Distributions

Binomial distribution

Poisson distribution

Normal distribution

4.4 Hypothesis Testing and Estimation

Hypothesis testing

Estimation

4.5 Goodness of Fit

How the sample adequately fits a distribution from an observational set

Module 5: Business Problem Solving, Insights and Storytelling

5.1 Business domains

Finance

Marketing

Retail

Supply Chain

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

ANOVA Regression analysis Dimension reduction techniques

8.3 Data Mining

Supervised and unsupervised learning Clustering Market Basket Analysis Decision trees Random forest Neural networks

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 10.2 Correlation

10.3 Forecasting

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 11.5 Boosting

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.


CASE STUDIES AND PROJECT WORK Learners will work on multiple case studies and projects from different domains as mentioned below:

1. Data Analytics on Census dataset

The project is meant to analyze and predict whether an individual has an annual

income of more than 50,000 Rs or less using various machine learning techniques,

some of which are supervised and unsupervised learning.

2. Analyzing impact factors of the pre-paid model in telecom

The project aims to find the most impacting factors in the preferences of the pre-paid

model and to identify which all are the variables highly correlated with impacting

factors. The goal of this project is to find the factors that have the maximum impact on

the preferences of the pre-paid model. It also aims at identifying the variables that are

highly correlated with these impacting factors.

3. 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.

4. 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.

5. Fraud Detection

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.


6. Pokemon Analysis

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.

7. Book Recommender

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.

8. 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.

9. 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.


Certification

After the completion of the course, candidates will get certificate from

IIT Madras.


Intellipaat Success Stories

Melwin Rodrigues

After working for several years in customer care, Intellipaat helped me

make the change to the Data Science domain. I can’t thank Intellipaat

enough for helping me achieve what I thought was extremely difficult.

Ankit Kumar

Initially, being a B.Com graduate, I wasn't sure whether I could pursue

Data Science. But, Intellipaat proved to me that this domain can be

easily picked up by anyone from any background

Gaurav Saboo

Intellipaat has not just helped me learn new skills but also how to

implement them in my current job, which led to a promotion. Yes!! I

got promoted with a salary hike and all the credit goes to Intellipaat.

Shehzin Mulla

My experience with Intellipaat was very satisfying as I

upskilled and received several job opportunities as well. The

lifetime access to the course helped me rejoin the classes

and become more confident in my technical skills, especially

in analytics.


CONTACT US

INTELLIPAAT SOFTWARE SOLUTIONS PVT. LTD.

Bangalore

AMR Tech Park 3, Ground Floor, Tower B, Hongasandra Village, Bommanahalli, Hosur Road, Bangalore – 560068

USA

1219 E. Hillsdale Blvd. Suite 205, Foster City, CA 94404

If you have any further queries or want to have a conversation with us, then do call us.

IND: +91-7022374614 | US: 1-800-216-8930 E-mail – [email protected]

mailto:[email protected]

Documents

Advanced Certification in Data Analytics for Business