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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, SQL, MongoDB, and more.
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About the Program
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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 1883. Every student is encouraged to develop and grow to the best of their potential.
Key achievements of Belhaven University:
Upon the completion of this program, you will:
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:
Senior Software Engineer | India
Post the training, I got a job as a Software Engineer- Data Scientist with a 150% salary hike in Wipro. This course helped me build strong foundations and exposure to real-time projects.
Senior Software Engineer
Product Manager | India
With this course, I switched to the Product Manager role with an 85% hike. They conducted so many interviews, live capstone projects, and resume-building strategies that gave me confidence.
Data Scientist | Delhi
Intellipaat has given me the confidence that anyone can become a Data Scientist with its rich course and expert guidance. With the help of Intellipaat, I switched from a non-tech role to a Data Scientist.
Data Scientist | India
Becoming a Data Scientist from a Customer Service Agent was possible only due to expert guidance by Intellipaat trainers. Even after working for 10 years in customer care, I am a Data scientist today.
Customer Service Agent
Marketing Data Analyst | India
Marketing Data Analyst
Senior Technical Associate | India
I got promoted to Sr. Technical Associate with a 60% hike after completing this course from Intellipaat. The training taught me new skills and how to implement the same in my current role.
Senior Technical Associate
Machine Learning Engineer | India
Intellipaat made my transition from civil engineering graduate to IT industry professional smoothly with its round-the-clock support, excellent curriculum, industry-standard projects, and efficient trainers.
B. Tech — Civil Engineering
Machine Learning Engineer
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
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 course helped me make a career transition from Computer Technical Specialist to Big Data developer with a 60% hike. The online interactive sessions by trainers are the best thing about Intellipaat.
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 | Bengaluru
Program Manager | Pune
Thanks to Intellipaat, 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 the most.
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 good.
Data Science Intern
55% Average Salary Hike
45 LPA The Highest Salary
12000+ Career Transitions
400+ Hiring Partners
Develop high-quality applications, apart from designing and implementing scalable code.
Investigate reported problems in the quality of data and come up with solutions to fix them.
Deploy models in SageMaker and use Lambda functions and API Gateway to integrate Machine Learning models in web applications.
Understand the data, data cleansing, data transformation, analyze outcomes, and present the result in the form of reports and dashboards.
Use advanced statistical techniques and tools to understand operating behavior and create algorithms with advanced prescriptive and descriptive methods.
Design and develop various Machine Learning models to help in deriving intelligence for the business products.
Data Science with R
Python for Data Science
He has over 7+ years of experience and holds an M.Tech in Data Science and Engg. from BITS, Pilani. Certified in Scaled Agile and SAS, Nishkam specializes in Advance Analytics & Machine Learning along with a vast experience as a Data Science mentor.
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.
The application is free and takes only 5 minutes to complete.
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
The application is free and takes only 5 minutes to complete.
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
Get hands-on learning to successfully work with the NumPy library to solve various Python problems. Also, the project requires you to efficiently create 2D arrays and perform simple arithmetic operations on the two arrays.
Analyze data by building aesthetic graphs to make better sense of it. Also, work with the bar plots and their applications which also includes histogram graphs for data analysis, and box plots and outliers in them.
The project is included to help learners with hands-on experience in financial data analysis. Analyze global sales numbers and profit data by developing an interactive map, and use map styles and layers for enhanced visualization.
As a part of the project, learners will have to display district-wise data to successfully build an interactive treemap with state labels. Also, the districts must be displayed on hovering over the respective states.
This project involves the analysis of naming trends using Python. Also, use the Python programming language to understand the applications of data manipulation, extract files with data, and concepts of data visualization.
As an important part of the project, learners will be required to analyze employment reliability in the Telecom industry, and further work on real-time analysis of data with multiple labels, data visualization for reliability factor.
This movie recommendation project will allow you to use Apache Spark MLlib component and statistical analysis to successfully create collaborative filtering, and also regression, clustering, and dimensionality reductions.
The project gives a practical exposure to the applications of Python in Web Scraping. Also get a chance to work on various Web Scraping libraries, Beautiful Soup, Navigable String, parser, searching tree deployment, and more.
The project lets you use and successfully apply Twitter sentiment analysis to find the reaction of people concerning the demonetization move by India by analyzing their tweets. Also, download the tweets and load them into Pig storage.
The project requires learners to identify trends in the company’s inventory dataset to increase sales numbers. Moreover, they also need to implement data extraction, data manipulation, etc. for Market Basket Analysis.
Get practical experience in performing data analysis on a banking dataset for several parameters. Use V4 predictor analysis, v7 predictor analysis, and data visualization to calculate the probability of fraud activities.
The project involves using banking datasets to analyze, clean, process, and visualize the data. Once the data analysis is completed, the project also lets you learn to implement Naive Bayes and Principal Component Analysis.
Use the Pandas module to collect data from various files. Also, use Plotly to build interactive visualizations. The project also requires you to use the Prophet library from Facebook to efficiently develop time-series models.
This interesting project has been included to help you analyze an entire IPL T20 cricket match and get some details of the match. As a next step, load the IPL dataset into HDFS and analyze the data using Apache Pig or Hive.
I am happy to have enrolled in this data science program. The syllabus is organized and the course is well designed. Best features are the 24*7 support and trainers who are domain experts.
Great learning experience with this course. The support team was always available. The collaboration of practical with theoretical knowledge makes it highly suitable for those who want to upskill.
It was a wonderful learning experience to learn from the trainers at Intellipaat. They were hands-on and provided real-time scenarios. Intellipaat is the right place for learning latest technology.
Best Data science course with placements. I was able to upgrade my skills with the help of the rich content and expert training by instructors who carried good experience in the domains.
The training and support team are highly cooperative. The best thing about it is the prompt support. The trainers are well-versed with the concepts and great content.
This advanced certification is outstanding. The trainer is an experienced Data Scientist who has a good hold on the concepts. Now I am a confident data science professional and joined a reputed firm.
The candidates from Intellipaat were very good. They are better than experienced people from the same domain. The learners had hands-on experience. The product managers were very happy with the job-ready recruits.
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.
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
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.
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.
Guaranteed 3 job interviews upon submission of projects and assignments. Get interviewed by our 400+ hiring partners.
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.
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!
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
|Regular Classes||8th Oct 2022||08:00 PM IST||Weekend (Sat-Sun)|
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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