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In Collaboration with

Executive Post Graduate Programme In Data Science

IT & Technology , Big Data Analytics

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Participation-Certificate
Enrolment closes on 29 Sep, 2022

Want to know more? enquire now

or call us on 9582086600

  • Duration: 12 months

    Online+ Live format

  • 30 Sep, 2022

    Start Date

    week

Enrolment closes on 29 Sep, 2022

Want to know more? enquire now

or call us on 9582086600

About this course

This program is designed to start your Data Science journey and develop skills to handle large volumes of data by making use of advanced tools and techniques. It is an interdisciplinary subject that employs scientific methods, systems, algorithms, and processes to manage structured and unstructured data. There are 5 specializations from which you can choose the most relevant stream as per your aspirations and interest. Get executive PGP in Data Science from IIITB with hands-on experience on 14+ tools and languages. Learn Data Analysis using SQL, Regression Techniques, Text Mining, Data Modelling, etc. At the end of this course you must be able to extract meaningful insights and apply Machine Learning algorithms to texts, numbers, audio, video, images, etc.

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This program is designed to start your Data Science journey and develop skills to handle large volumes of data by making use of advanced tools and techniques. It is an interdisciplinary subject that employs scientific methods, systems, algorithms, and processes to manage structured and unstructured data. There are 5 specializations from which you can choose the mos... Read More

Get a deeper understanding of

  • Predictive Analytics using Python
  • Machine Learning
  • Data Visualization and Big Data
  • Natural Language Processing
  • Classification using Decision Trees
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Key skills you’ll learn

  • Data Analysis
  • Business Problem Solving
  • Data Modelling
  • Linear and Logistic Regression
  • Text mining

Program Starts Soon

Benefits for All Students

India's 1st EPGP Aligned to SSC NASSCOM Competency Standards

This course is considered equivalent to National Skill Qualification Framework level 8

On completion of this course get the alumni status from the prestigious IIIT Bangalore

Get hands-on experience with 60+ industry projects.

  • AI Powered Profile Builder 
  • One-on-one career mentorship sessions
  • High performance coaching
  • Doubt resolution support

India's 1st EPGP Aligned to SSC NASSCOM Competency Standards

This course is considered equivalent to National Skill Qualification Framework level 8

On completion of this course get the alumni status from the prestigious IIIT Bangalore

Get hands-on experience with 60+ industry projects.

AI Powered Profile Builder  One-on-one career mentorship sessions High performance coaching Doubt resolution support

Are You Eligible?

Are You Eligible

Education

  • Bachelor’s degree with 50% marks or equivalent passing marks
  • No coding experience required

Syllabus at a Glance

1. Data Analysis in Excel
2. Analytics Problem Solving

1. Introduction to Python
2. Programming in Python
3. Python for Data Science
4. Data Visualization in Python
5. Exploratory Data Analysis
6. Credit EDA Case Study
7. Inferential Statistics
8. Hypothesis Testing
9. Data Analysis using SQL
10. Advanced SQL & Best Practices
11. SQL Assignment: RSVP Movies

1. Linear Regression
2. Linear Regression Assignment
3. Logistic Regression
4. Classification using Decision Trees
5. Unsupervised Learning: Clustering
6. Basics of NLP and Text Mining
7. Business Problem Solving
8. Case Study: Lead Scoring

1. Bagging & Random Forest
2. Boosting
3. Model Selection & General ML Techniques
4. Principal Component Analysis
5. Advanced Regression
6. Advanced ML Case Study
7. Time Series Analysis
8. Introduction to Neural Networks and ANN
9. Neural Network Assignment
10. Convolutional Neural Networks
11. Convolutional Neural Networks - Introduction and Industry Applications
12. Object Detection & Image Segmentation (Optional)
13. Recurrent Neural Networks
14. Gesture Recognition
15. Capstone Project

1. Bagging & Random Forest
2. Boosting
3. Model Selection & General ML Techniques
4. Principal Component Analysis
5. Advanced Regression
6. Advanced ML case Study
7. Time Series Forecasting
8. Neural Nets for NLP
9. Syntactic Processing
10. Syntactic Processing Assignment
11. Semantic Processing
12. Applied DL in NLP
13. Case Study: Automatic Ticket Classification
14. Capstone Project

1. Bagging & Random Forest
2. Model Selection & General ML Techniques
3. Time Series Forecasting
4. Model Selection Case Study
5. Visualisation using Tableau
6. Advanced Excel
7. Visualisation using PowerBI
8. Structured Problem Solving using Frameworks
9. Data Storytelling
10. AirBnB Case Study
11. Operations Research in Excel
12. Data Architecture
13. Data Strategy
14. Business Case Study
15. Capstone Project

1. Data Modelling
2. Advanced SQL and Best Practices
3. Introduction to Big Data and Cloud
4. Analytics using Spark
5. Big Data Case Study
6. Visualisation using Tableau
7. Advanced Excel
8. Visualisation using PowerBI
9. Structured Problem Solving using Frameworks
10. Data Storytelling
11. AirBnB Case Study
12. Data Structures - Sets, Dictionaries, Stacks, Queues
13. Searching and Sorting
14. Algorithm Analysis + Recursion
15. Advanced Database Programming using Pandas
16. Python & SQL Lab
17. Capstone Project

1. Data Management and Relational Database Modelling
2. Introduction to Big Data(Optional)
3. Introduction to Cloud and AWS Setup
4. Introduction to Hadoop and MapReduce Programming
5. Assignment (Optional)
6. NoSQL Databases and Apache HBase and NoSQL Databases and Mongo DB (Optional)
7. Data Warehousing (Optional)
8. Data Ingestion with Apache Sqoop and Apache Flume
9. Map reduce Programming Assignment
10. Hive & Querying
11. Assignment (Optional)
12. Amazon Redshift
13. Introduction to Apache Spark
14. Project: ETL Data Pipline
15. AWS Cloud Infrastructure (Optional)
16. Optimising Spark for Large Scale Data Processing
17. Apache Flink(Optional)
18. Real-Time Data Streaming with Apache Kafka
19. Real-Time Data Processing using Spark Streaming
20.Assignment (Optional)
21.Building Automated Data Pipelines with Airflow
22.Analytics using PySpark
23.Project: Real Time data processing
24.Capstone Project

1. Data Analysis in Excel
2. Analytics Problem Solving

1. Introduction to Python
2. Programming in Python
3. Python for Data Science
4. Data Visualization in Python
5. Exploratory Data Analysis
6. Credit EDA Case Study
7. Inferential Statistics
8. Hypothesis Testing
9. Data Analysis using SQL
10. Advanced SQL & Best Practices
11. SQL Assignment: RSVP Movies

1. Linear Regression
2. Linear Regression Assignment
3. Logistic Regression
4. Classification using Decision Trees
5. Unsupervised Learning: Clustering
6. Basics of NLP and Text Mining
7. Business Problem Solving
8. Case Study: Lead Scoring

1. Bagging & Random Forest
2. Boosting
3. Model Selection & General ML Techniques
4. Principal Component Analysis
5. Advanced Regression
6. Advanced ML Case Study
7. Time Series Analysis
8. Introduction to Neural Networks and ANN
9. Neural Network Assignment
10. Convolutional Neural Networks
11. Convolutional Neural Networks - Introduction and Industry Applications
12. Object Detection & Image Segmentation (Optional)
13. Recurrent Neural Networks
14. Gesture Recognition
15. Capstone Project

1. Bagging & Random Forest
2. Boosting
3. Model Selection & General ML Techniques
4. Principal Component Analysis
5. Advanced Regression
6. Advanced ML case Study
7. Time Series Forecasting
8. Neural Nets for NLP
9. Syntactic Processing
10. Syntactic Processing Assignment
11. Semantic Processing
12. Applied DL in NLP
13. Case Study: Automatic Ticket Classification
14. Capstone Project

1. Bagging & Random Forest
2. Model Selection & General ML Techniques
3. Time Series Forecasting
4. Model Selection Case Study
5. Visualisation using Tableau
6. Advanced Excel
7. Visualisation using PowerBI
8. Structured Problem Solving using Frameworks
9. Data Storytelling
10. AirBnB Case Study
11. Operations Research in Excel
12. Data Architecture
13. Data Strategy
14. Business Case Study
15. Capstone Project

1. Data Modelling
2. Advanced SQL and Best Practices
3. Introduction to Big Data and Cloud
4. Analytics using Spark
5. Big Data Case Study
6. Visualisation using Tableau
7. Advanced Excel
8. Visualisation using PowerBI
9. Structured Problem Solving using Frameworks
10. Data Storytelling
11. AirBnB Case Study
12. Data Structures - Sets, Dictionaries, Stacks, Queues
13. Searching and Sorting
14. Algorithm Analysis + Recursion
15. Advanced Database Programming using Pandas
16. Python & SQL Lab
17. Capstone Project

1. Data Management and Relational Database Modelling
2. Introduction to Big Data(Optional)
3. Introduction to Cloud and AWS Setup
4. Introduction to Hadoop and MapReduce Programming
5. Assignment (Optional)
6. NoSQL Databases and Apache HBase and NoSQL Databases and Mongo DB (Optional)
7. Data Warehousing (Optional)
8. Data Ingestion with Apache Sqoop and Apache Flume
9. Map reduce Programming Assignment
10. Hive & Querying
11. Assignment (Optional)
12. Amazon Redshift
13. Introduction to Apache Spark
14. Project: ETL Data Pipline
15. AWS Cloud Infrastructure (Optional)
16. Optimising Spark for Large Scale Data Processing
17. Apache Flink(Optional)
18. Real-Time Data Streaming with Apache Kafka
19. Real-Time Data Processing using Spark Streaming
20.Assignment (Optional)
21.Building Automated Data Pipelines with Airflow
22.Analytics using PySpark
23.Project: Real Time data processing
24.Capstone Project

Learn from the Best Faculty

About The Institute

IIIT Bangalore

International Institute of Information Technology Bangalore (IllT Bangalore), is promoted by the Karnataka government and the IT industry. IllT-Bangalore attracts high-quality students from all over India and abroad to its acclaimed iM.Tech., M. Tech., M.S. by Research and PhD programs. Along with a very distinguished faculty, they pursue research in a unique campus located at Electronic City, the heart of the IT Industry in Bangalore.

The major objectives of the Institute are:

  • To be a specialized centre for higher learning in IT and promote Bengaluru as a global centre of Excellence in IT.
  • To carry out R&D, both on its own account and also based on sponsorship from the Indian and global IT industry.
  • To act as an interface between industry and the academic community.
  • To co-create and commercialize Intellectual Property.
  • To train professionals from industry and government on advanced IT security technologies. 

IllT-B has been conferred the status of Deemed to be a University by the University Grants Commission under section 3 of the UGC Act in 2005. The Institute has also been accredited by the National Assessment and Accreditation Council with the highest grade of A.

The institute has a short but distinguished history of 17 years producing quality post-graduates every year. The 2000+ strong alumni occupy key positions in various corporations, delivering tremendous value to their organizations.

Fee Structure for

Instalment Schedule

Instalment 1
INR 21187 + GST Due by: 29 Sep, 2022
Instalment 1
USD 0 Due by: 29, Sep, 2022
Instalment 2
INR 232203 + GST Due by: 06 Oct, 2022
Instalment 2
USD 0 Due by: 06, Oct, 2022
OR
Pay for Total Amount
INR 253390 + GST Due by: 29, Sep, 2022
Pay for Total Amount
USD 0 Due by: 29, Sep, 2022

Financial Aid

To learn more about financing your course, visit the course Financial Resources Hub

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  • 78% Referablity

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