advanced certification in data science and artificial

Advanced Certification in

Data Science and Artificial Intelligence

Advanced Certification in Data Science & Artificial Intelligence 2 | Page

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 Artificial Intelligence helps

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

This course will be delivered by leading faculty from IIT Madras and subject matter

experts from the industry. You will master skills like Python, Machine Learning, Git,

Advance Statistics, deploying machine learning models on cloud, Artificial

Intelligence concepts and more. By 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 Artificial Intelligence 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, Machine Learning, Deep

Learning, and Artificial Intelligence.

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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 the completion of this program, you will:

Receive live lectures from IIT Madras faculty & industry experts

Receive an advanced certification in Data Science and AI from IIT Madras Digital

Skills Academy & Intellipaat.

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About Intellipaat

Intellipaat is one of the leading online training providers with more than 600,000

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


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 cracking interviews 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

Career Services by Intellipaat


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

Eligibility Criteria & the Application Process

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

Artificial Intelligence will be required to follow the admission process mentioned

below.

Who Can Apply?

Individuals with a keen interest to learn AI and Data Science

IT professionals looking for a career transition as Data Scientists and AI Engineers

Artificial Intelligence and Business Intelligence professionals

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.


Learning Path

ELECTIVE COURSES

Data Analysis with MS Excel

Data Wrangling with SQL

Natural Language Processing and its Applications


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, IIT Madras. 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.

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Madhu Babu Cherukuri

Sr. Data Scientist at Intel Corporation

He carries over 15 years of expertise in handling various analytics

projects, using several types of ML algorithms in multiple business

domains. He also comes with extensive knowledge in SAS, SQL,

R, Python and is proficient in Big Data Environment.

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:

Python & Linux – Basic Python libraries and functions will be taught to you

along with the fundamentals of Linux operating system.

Core Curriculum:

Module 1: Git

1.1 What is Version Control?

1.2 Types of Version Control System

1.3 Introduction to SVN

1.4 Introduction to Git

1.5 Git Lifecycle

1.6 Common Git commands

1.7 Working with branches in Git

1.8 Merging branches

1.9 Resolving merge conflicts

1.10 Git workflow

Module 2: Python with Data Science

2.1 Introduction to Data Science using Python

2.2 Python basic constructs

2.3 Statistics and probability

2.4 OOPs in Python

2.5 NumPy for mathematical computing

2.6 SciPy for scientific computing

2.7 Data manipulation


Module 3: Advanced Statistics

3.1 Central tendency

3.2 Variability

3.3 Hypothesis testing

3.4 Anova

3.5 Correlation

3.6 Regression

3.7 Probability definitions and notation

3.8 Joint probabilities

3.9 The sum rule, conditional probability, and the product rule

3.10 Bayes theorem

Module 4: Machine Learning & Prediction Algorithms

4.1 Machine learning using Python

4.2 Supervised learning

4.3 Unsupervised learning

4.4 Dimensionality reduction

4.5 Time-series forecasting

Module 5: Data Science at Scale with PySpark

5.1 Introduction to Big Data and Apache Spark

5.2 Apache Spark framework and RDDs

5.3 PySpark SQL and Data Frames Module 6: AI & Deep Learning using TensorFlow

6.1 Introduction to Deep Learning and Neural Networks

6.2 Multi-layered Neural Networks

6.3 Artificial Neural Networks and various methods

6.4 Deep Learning libraries


Module 7: Deploying Machine Learning Models on Cloud (MLOps)

7.1 Need for MLOps

7.2 Deploying Machine learning programs in the production environment

7.3 Working with Jenkins & Docker for deploying Machine Learning solutions

Module 8: Data Visualization with Tableau

8.1 Introduction to data visualization

8.2 Architecture of Tableau

8.3 Working with metadata and data blending

8.4 Creation of sets

8.5 Working with filters

8.6 Organizing data and visual analytics

8.7 Working with mapping

8.8 Working with calculations and expressions

8.9 Working with parameters

8.10 Charts and graphs

8.11 Dashboards and stories

8.12 Tableau Prep

8.13 Integration of Tableau with R and Hadoop

Module 9: Data Science Capstone Project

In the Data Science Capstone project, you will use all the knowledge and skills you

have acquired throughout in this advanced certification program and gain industry

experience in the domain.


Self-Paced Courses

Module 10: Data Analysis with MS Excel

10.1 Entering data

10.2 Referencing in formulas

10.3 Name range

10.4 Understanding logical functions & conditional formatting

10.5 Important formulas in Excel

10.6 Working with Dynamic table

10.7 Data transformation for analysis

10.8 Working with charts for data visualization

10.9 Pivot tables in Excel

10.10 working with Macros in Excel and working with VBA

Module 11: Data Wrangling with SQL

11.1 Introduction to SQL

11.2 Database normalization and entity-relationship model

11.3 SQL operators

11.4 Working with SQL: Join, tables, and variables

11.5 Deep dive into SQL

11.6 Functions

11.7 Working with Subqueries

11.8 SQL views, functions, and stored procedures

Module 12: Natural Language Processing and its Applications

12.1 Overview of Natural Language Processing and text mining

12.2 Text mining, cleaning, and processing

12.3 Text classification

12.4 Sentence structure, sequence tagging, sequence tasks, and language modeling

12.5 Introduction to semantics and vector space model

12.6 Dialog systems


CASE STUDIES AND PROJECT WORK

Learners will work on multiple case studies and projects from different domains

as mentioned below:

Face Detection

Analyse how computer vision works. Work with glob and haarcascade

classifier to detect faces from various images.

AI Chatbot

Work with IBM Watson AI Chatbot. Create your own AI chatbot and see how

IBM Cloud platform helps you to create the chatbot on the backs of possibly

the most advanced machine learning system available.

Housing Price Prediction

Work with House prize kaggle dataset and predict the sale price for each

house with 79 explanatory variables describing every aspect of the residential

houses.

HR Analytics

Work with HR Analytics dataset and understand how hacks can help you to

reimagine HR problem statements. Understand the features of the dataset and

in the end evaluate the model by metric identification process.

Joke Rating Prediction

Work with the dataset is taken from the famous jester online Joke

Recommender system dataset and create a model to predict the ratings for

jokes given by the users provided the ratings provided by the same users for

another set of jokes.

Work with Pyspark & RDD

Work with PySpark which is a python API for Spark and and use RDD using

Py4J package. Work with SparkConf that provides the configurations for

running a Spark Application.

Restaurant Revenue Prediction


Work with Ensemble Model on the Dataset for predicting annual restaurant

sales using various features like opening data, type of city, type of restaurant.

Work with packages like caret, Boruta, dplyr to analyse the dataset and predict

the annual sales.

Build Recommendation Engine Using Netflix Prize Data Set

Create your own recommender engine using SVD algorithm to predict movies

on Netflix based on the past ratings of the movies. Work with variouspackages

like numpy, pandas, matplotlib.pyplot to handle missing values from the

dataset and can recommend movies to the users.

Build the Book Recommender Application

Work with packages like recommenderlab, dplyr, tidyr, stringr,corrplot and

many others to create your book recommender engine using the ‘user-based

collaborative filtering’ model that will recommend the books based on past

ratings.

Legendary’ of pokemon

Extract various pokemons based on some particular parameter and use a

classification model to predict the ‘Legendary’ of pokemon. Work with the

regression algorithm to predict the attack and defence of a particular Pokemon.

Census Project

Work with census income dataset from UCI MAchine Learning repository that

contains income information for more than 48k individuals. Use data handling

techniques to handle missing values. Work with various supervised Machine

Learning models to predict the annual income of the people.


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]

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