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PG Program in Data Science

The online PG program in Data Science offered by Belhaven University and Intellipaat lets you gain proficiency in Data Science. You will work on real-world projects in Data Science with R, Hadoop Dev, Admin, Test and Analysis, Apache Spark, Scala, Deep Learning, Tableau, Data Science with SAS, SQL, MongoDB, and more.

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Ranked among the best regional universities in the South for eight consecutive years U.S. News & World Report

Upskill for Your Dream Job

Learning Format

Online

Duration

7 Months

Career Services

by Intellipaat

145 PLA Credits from

Belhaven University

400+

Hiring Partners

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About the Program

This Post Graduate program offers 10 courses and 30 industry-based projects with 1 capstone project. As a part of online classroom training, you will receive five additional self-paced courses co-created with IBM namely Deep Learning with TensorFlow, Build Chatbots with Watson Assistant, R for Data Science, Spark MLlIb, and Python for Data Science. Additionally, you will also get exclusive access to IBM Watson Cloud Lab for Chatbots course.Read More

Key Highlights

232 Hrs Instructor-led Training
104 Hrs Self-paced Videos
253 Hrs Project & Exercises
PG Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support
3 Guaranteed Interviews by Intellipaat
One-on-One with Industry Mentors
PG Certification from Belhaven University

Free Career Counselling

We are happy to help you 24/7

About Belhaven University

Belhaven University is known for its nationally recognized academics, top-rated faculty, and affordability. Belhaven strives for excellence in higher education and has a rich heritage of prominence in education dating back to 188. Every student is encouraged to develop and grow to the best of their potential.

Key achievements of Belhaven University:

  • Recognized three majors for their quality and programming –  Colleges of Distinction
  • Ranked among the best regional universities in the South for eight consecutive years – U.S. News & World Report 

Upon the completion of this program, you will:

  • Receive a PG certification from Belhaven University
  • Get executive alumni status of Belhaven University

Program in Collaboration with IBM

IBM is one of the leading innovators and the biggest player in creating innovative tools for big data analytical tools. Top subject matter experts from IBM will share knowledge in the domain of analytics and big data through this training program.

Benefits for students from IBM:

  • Industry-recognized IBM certificates
  • Access to IBM Watson for hands-on training and practice
  • Industry in-line case studies and project work

Who can apply for this PG in Data Science Program?

  • Professionals who aspire to be a Data Scientist
  • Data Scientists who have a keen interest in upskilling
  • Information Architects
  • Machine Learning professionals
  • Business Intelligence professionals
  • Software Developers
  • Project Managers
Who can aaply

What roles does a Data Scientist play?

Data Scientist

Develop high-quality applications, apart from designing and implementing scalable code.

Analytics and Insights Analyst

Investigate reported problems in the quality of data and come up with solutions to fix them.

AI & ML Engineer

Deploy models in SageMaker and use Lambda functions and API Gateway to integrate Machine Learning models in web applications.

Data Engineer & Data Analyst

Understand the data, data cleansing, data transformation, analyze outcomes, and present the result in the form of reports and dashboards.

Junior Data Scientist

Use advanced statistical techniques and tools to understand operating behavior and create algorithms with advanced prescriptive and descriptive methods.

Applied Scientist

Design and develop various Machine Learning models to help in deriving intelligence for the business products.

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Skills to Master

Data Science with R

Python for Data Science

Machine Learning

Artificial Intelligence

Hadoop

Spark

Tableau

Data Blending

SAS

Advanced Excel

MongoDB

T-SQL

Database objects

MS-SQL

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Tools to Master

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PG in Data Science Course Content

Live Course

Module 01 – Introduction to Data Science with R
Module 02 – Data Exploration
Module 03 – Data Manipulation
Module 04 – Data Visualization
Module 05 – Introduction to Statistics
Module 06 – Machine Learning
Module 07 – Logistic Regression
Module 08 – Decision Trees and Random Forest
Module 09 – Unsupervised Learning
Module 10 – Association Rule Mining and Recommendation Engines

Self-paced Course Content

Module 11 – Introduction to Artificial Intelligence
Module 12 – Time Series Analysis
Module 13 – Support Vector Machine (SVM)
Module 14 – Naïve Bayes
Module 15 – Text Mining

Module 01 – Introduction to Data Science using Python
Module 02 – Python basic constructs
Module 03 – Maths for DS-Statistics & Probability
Module 04 – OOPs in Python (Self paced)
Module 05 – NumPy for mathematical computing
Module 06 – SciPy for scientific computing
Module 07 – Data manipulation
Module 08 – Data visualization with Matplotlib
Module 09 – Machine Learning using Python
Module 10 – Supervised learning
Module 11 – Unsupervised Learning
Module 12 – Python integration with Spark (Self paced)
Module 13 – Dimensionality Reduction
Module 14 – Time Series Forecasting

Module 01 – Introduction to Machine Learning
Module 02 – Supervised Learning and Linear Regression
Module 03 – Classification and Logistic Regression
Module 04 – Decision Tree and Random Forest
Module 05 – Naïve Bayes and Support Vector Machine (self-paced)
Module 06 – Unsupervised Learning
Module 07 – Natural Language Processing and Text Mining (self-paced)
Module 08 – Introduction to Deep Learning
Module 09 – Time Series Analysis (self-paced)

​​Module 01 – Introduction to Deep Learning and Neural Networks
Module 02 – Multi-layered Neural Networks
Module 03 – Artificial Neural Networks and Various Methods
Module 04 – Deep Learning Libraries
Module 05 – Keras API
Module 06 – TFLearn API for TensorFlow
Module 07 – DNNs (deep neural networks)
Module 08 – CNNs (convolutional neural networks)
Module 09 – RNNs (recurrent neural networks)
Module 10 – Gpu in deep learning
Module 11 – Autoencoders and Restricted Boltzmann Machine (RBM)
Module 12 – Deep learning applications
Module 13 – Chatbots

Module 01 – Hadoop Installation and Setup
Module 02 – Introduction to Big Data Hadoop and Understanding HDFS and MapReduce
Module 03 – Deep Dive in MapReduce
Module 04 – Introduction to Hive
Module 05 – Advanced Hive and Impala
Module 06 – Introduction to Pig
Module 07 – Flume, Sqoop, and HBase
Module 08 – Writing Spark Applications Using Scala
Module 09 – Use Case Bobsrockets Package
Module 10 – Introduction to Spark
Module 11 – Spark Basics
Module 12 – Working with RDDs in Spark
Module 13 – Aggregating Data with Pair RDDs
Module 14 – Writing and Deploying Spark Applications
Module 15 – Project Solution Discussion and Cloudera Certification Tips and Tricks
Module 16 – Parallel Processing
Module 17 – Spark RDD Persistence
Module 18 – Spark MLlib
Module 19 – Integrating Apache Flume and Apache Kafka
Module 20 – Spark Streaming
Module 21 – Improving Spark Performance
Module 22 – Spark SQL and Data Frames
Module 23 – Scheduling/Partitioning

The following topics will be available only in self-paced mode:

Module 24 – Hadoop Administration – Multi-node Cluster Setup Using Amazon EC2
Module 25 – Hadoop Administration – Cluster Configuration
Module 26 – Hadoop Administration – Maintenance, Monitoring and Troubleshooting
Module 27 – ETL Connectivity with Hadoop Ecosystem (Self-Paced)
Module 28 – Hadoop Application Testing
Module 29 – Roles and Responsibilities of Hadoop Testing Professional
Module 30 – Framework Called MRUnit for Testing of MapReduce Programs
Module 31 – Unit Testing
Module 32 – Test Execution
Module 33 – Test Plan Strategy and Writing Test Cases for Testing Hadoop Application

Module 01 – Introduction to Data Visualization and The Power of Tableau
Module 02 – Architecture of Tableau
Module 03 – Charts and Graphs
Module 04 – Working with Metadata and Data Blending
Module 05 – Advanced Data Manipulations
Module 06 – Working with Filters
Module 07 – Organizing Data and Visual Analytics
Module 08 – Working with Mapping
Module 09 – Working with Calculations and Expressions
Module 10 – Working with Parameters
Module 11 – Dashboards and Stories
Module 12 – Tableau Prep
Module 13 – Integration of Tableau with R

Module 01 – Entering Data
Module 02 – Referencing in Formulas
Module 03 – Name Range
Module 04 – Understanding Logical Functions
Module 05 – Getting started with Conditional Formatting
Module 06 – Advanced-level Validation
Module 07 – Important Formulas in Excel
Module 08 – Working with Dynamic table
Module 09 – Data Sorting
Module 10 – Data Filtering
Module 11 – Chart Creation
Module 12 – Various Techniques of Charting
Module 13 – Pivot Tables in Excel
Module 14 – Ensuring Data and File Security
Module 15 – Getting started with VBA Macros
Module 16 – Ranges and Worksheet in VBA
Module 17 – IF condition
Module 18 – Loops in VBA
Module 19 – Debugging in VBA
Module 20 – Dashboard Visualization
Module 21 – Principles of Charting
Module 22 – Getting started with Pivot Tables
Module 23 – Statistics with Excel

Module 01 – Introduction to NoSQL and MongoDB
Module 02 – MongoDB Installation
Module 03 – Importance of NoSQL
Module 04 – CRUD Operations
Module 05 – Data Modeling and Schema Design
Module 06 – Data Management and Administration
Module 07 – Data Indexing and Aggregation
Module 08 – MongoDB Security
Module 09 – Working with Unstructured Data

Module 01 – Introduction to SQL
Module 02 – Database Normalization and Entity-Relationship Model
Module 03 – SQL Operators
Module 04 – Working with SQL: Join, Tables, and Variables
Module 05 – Deep Dive into SQL Functions
Module 06 – Working with Subqueries
Module 07 – SQL Views, Functions, and Stored Procedures
Module 08 – Deep Dive into User-defined Functions
Module 09 – SQL Optimization and Performance
Module 10 – Advanced Topics
Module 11 – Managing Database Concurrency
Module 12 – Programming Databases Using Transact-SQL
Module 13 – Microsoft Courses: Study Material

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Program Highlights

50+ Live Session across 7 months
104 Hrs of Self-Paced Learning
30+ Industry Projects & Case Studies
24*7 Support

Interested in This Program? Secure your spot now.

The application is free and takes only 5 minutes to complete.

Projects

Projects will be a part of your Data Science PG program to consolidate your learning. It will ensure that you have real-world experience in Data Science.

Practice 20+ Essential Tools

Designed by Industry Experts

Get Real-world Experience

Career Transition

55% Average Salary Hike

$1,20,000 The Highest Salary

12000+ Career Transitions

400+ Hiring Partners

Career Transition Handbook

Peer Learning

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!

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Career Services By Intellipaat

Career Services
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Career Oriented Sessions

Throughout 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.

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Resume & LinkedIn Profile Building

After 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

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Mock Interview Preparation

After 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.

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1 on 1 Career Mentoring Sessions

After 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.

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3 Guaranteed Interviews

After 80% of the course completion

Guaranteed 3 job interviews upon submission of projects and assignments. Get interviewed by our 400+ hiring partners.

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Exclusive access to Intellipaat Job portal

After 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.

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Reviews

4.8

Program Fee

Total Admission Fee

$ 1,499

Data Science PG Program FAQ

Why should I sign up for this Data Science PG program?

Our Data Science online PG program will give you hands-on experience in mastering the domain. You will master various courses like Data Science with R, Machine Learning, AI and Deep Learning, Big Data Hadoop and Spark, and more. After completing the program, you will receive a PG certification from Belhaven University.

You will get the opportunity to work on several real-time projects and assignments that have high relevance in the corporate world. Upon completion of the course, you will be capable of applying for some of the top-paying jobs around the world.

Sign up for the Data Science PG program by Belhaven University. After successfully completing the course, projects, and assignments, you will receive your PG certification.

We have both live sessions & self-paced videos. Our Learning Management System (LMS) provides a customized learning experience. The online classroom training program includes one-on-one doubt-clearing sessions as well.

To get more information about this PG program in Data Science, you can directly contact our course advisors. They provide all kinds of assistance relating to the course.

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work

I’m Interested in This Program

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