Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based | Weekends |
Course Overview
The PG Diploma Program in Data Science online course prepares candidates to make and grow their careers in the field of Data Science. Data science is a broad field that employs scientific techniques, procedures, systems, and algorithms to extract important data and information from structured and unstructured data sets and apply new learning and actionable data across a wide variety of application areas.
This PG Diploma Program in Data Science training is intended for all professionals, covering job topics such as machine learning algorithms, Python and R programming, data visualization with Tableau and NLP concepts via an online learning model that includes teaching sessions by international instructors, IBM Hackathons, practical labs, and capstone projects.
Vitti created the PG Diploma Program in Data Science syllabus in conjunction with IIIT-Bhagalpur. Candidates will be able to gain a thorough grasp and experience of data science and machine learning through this program. Candidates who complete this PG course can sit for the IBM Exam and receive a digital badge and certificate from IBM.
The Highlights
- Course provider Vitti AI
- 10 Industry Projects
- 10 Interactive Live Modules
- Offered by IIIT Bhagalpur
- 2 Capstone projects
- 800 Hours of Learning
- Project-based Learning
Programme Offerings
- Projects
- Learning Management System
- assignments
- online learning
- Workshop
- Learning aid
- reference materials
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIIT Bhagalpur |
PG Diploma Program in Data Science Fees
Course Fee | Rs. 2,75,000 + GST |
Eligibility Criteria
Students who have completed class 10+2 can enrol in data science courses. Admission to UG Data Science Courses requires a minimum of 50% in class 12, whereas admission to PG Data Science Courses requires a minimum of 50% in graduation in engineering or a related field.
Certification Qualifying Details
After completing all courses, class activities, and assignments, candidates will get the PG Diploma Program in Data Science certification from IIIT Bhagalpur via Vitti AI.
What you will learn
After completing the PG Diploma Program in Data Science course from IIIT Bhagalpur, candidates will learn about data science, data analysis, and data visualization. Candidates will also learn about software engineering and artificial intelligence along with various methodologies of data science.
Who it is for
The PG Diploma Program in Data Science course will be beneficial to Software & IT Professionals, Domain Experts, Freshers, Marketing & Sales Representatives, Engineers who want to gain in-depth knowledge of Data Science.
Admission Details
To Enrol in the PG Diploma Program in Data Science tutorial, follow the steps mentioned below :
Step 1. Follow the URL given below to open the official PG Diploma Program in Data Science course detail page.
(https://www.vittiai.com/course/pg-diploma-program-in-data-science)
Step 2. Click the 'Pay Now' button to proceed.
Step 3. Fill in the required fields and press the "Submit" button.
Step 4. Once you have paid the course cost, you will get your credentials through email.
Step 5. Log in to the Vitti AI website with your credentials to start learning online.
The Syllabus
- Programming Overview
- Python Programming
- Fundamentals, Installation, Basic Syntax
- Data or Variable Types & Basic Operators
- Decision making & Loops
- Numbers & Strings
- List, Tuples & Dictionary
- Functions & Modules
- Data Science Landscape
- Data Science Overview
- Data Science Domains
- Data Science Roles
- Data Science Methodology
- Data Analytics in Practice
- Data Analytics Methodologies
- Data Science Method
- Explore And Prepare Data
- Business understanding
- Explore data
- Prepare data
- Understanding data
- Represent and Transform Data
- Statistics and representation techniques
- Data transformation
- Represent and transform unstructured data
- Data transformation tools
- Data Visualization and Presentation
- Decision-centered Visualization
- Fundamentals of Visualizations
- Common Graphs and Common Tools
- Data Science On The Cloud
- An integrated environment for Data Science projects
- Cloud-based Data Science Lifecycle
- Data Science capabilities on the cloud
- Mathematics In Data Science
- Ethics For Data Science
- Introduction to AI
- AI Landscape
- AI impact in the world today
- History and Evolution of AI
- AI Explained
- AI Technologies
- Summary & Resources
- AI Industry Adoption Approaches
- AI Industry Impact
- Autonomous Vehicles
- Smart Robotics
- Future Workforce and AI
- Summary & Resources
- Problem Solving Through Search, Bayesian Networks, Propositional Logics
- Introduction To Machine Learning and Deep Learning, Ai Issues, And Ethics.
- Natural Language Understanding
- NLP Overview
- NLP Explained
- Virtual Agents Overview
- Virtual Agents for the Enterprise
- Summary & Resources
- Computer Vision
- Computer Vision Overview
- AI Vision through Deep Learning
- Computer Vision for the Enterprise
- Experiments
- Summary & Resources
- Future Trends for AI
- Artificial Intelligence Trends
- Limits of the machine and human
- AI predictions in the next 5 years
- Summary & Resources
- SDLC
- Software Requirements
- Feasibility Study
- Importance
- Version Control
- Github
- Software Testing
- Design Thinking And Innovation
- Industry Required Problems
- Expert Lectures From Industry
- Design thinking and innovation
- Industry-required problems
- Expert lectures from industry
- Introduction to Random Variable
- Mean
- Variance and Covariance of Random variable
- Probability Distribution, Continuous Probability Distributions
- Stochastic processes and Markov chains
- Area under curve
- Regression analysis
- Multiple regressions
- Introduction to ML
- Classification
- Regression
- Clustering
- Supervised and Unsupervised learning
- Bias and Variance
- Evaluation metrics
- Machine Learning Algorithms
- Linear and Logistic regression
- K-means
- SVM
- Decision Tree
- Random Forest
- Ensemble
- LDA
- Recommendation system
- Ethics
- Introduction to Deep Learning
- Difference to Machine Learning
- Neural network
- Multilayer perceptron
- SGD
- loss functions
- Deep Neural Network
- Optimizers
- Hyperparameter
- Convolutional Neural Networks
- Recurrent Neural Networks
- LSTM
- CNN Visualization
- Autoencoder Decoder
- GAN
- Natural Language Processing
- Reinforcement learning
- Deep Generative Models
- Advanced Object Detection: YOLO v3
- Image Segmentation: FCN, SegNet, UNet
- Deep Learning Model Optimization
- Compression
- RBM
- DBN
Instructors
IIIT Bhagalpur Frequently Asked Questions (FAQ's)
The PG Diploma Program in Data Science training consumes 4 hours per week.
Limited 50 students enrol in PG Diploma Program in Data Science online training batch
The course provider of the PG Diploma Program in Data Science course is Vitti AI.
The LMS of Vitti AI also provides PG Diploma Program in Data Science recorded lectures.
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