What you get
IBM Certification
Placement Support
Capstone Project
Online Classes
Online Q&A Sessions
Faculty & Technical Support
Not Applicable
ApplicableTools & Curriculum Covered
Feature Engineering for Structured Data
Feature Engineering for Unstructured Data
Case Study - Churn Analysis
Introduction to Classification Trees and Regression Trees
Random Forest and Gradient Boosted Machines
Case Study - Prices of AirBnB Properties in Amsterdam
Memory Based Engines
Model Based Engines: Singular-Value Decomposition (SVD) & Non-Negative Matrix Factorization (NMF)
K - Means
Agglomerate Clustering
Case Study - Image Classification (Retail Data)
Neural Networks
Convolutional Neural Network
Recurring Neural Networks (RNN) and Long Short-Term Memory (LSTM)
Case Study - OCR to Detect Regional Languages
What is BlockChain?
Demystifying Cryptocurrency and Smart Contracts
Use Cases Driven by Block chain
Intuitive Examples of AI Applications
How is AI different from ML and DL?
Foundations and History of AI
Different AI categories
Faqs
Our programs have been designed for all students regardless of any prior knowledge of analytics, statistics or coding. We have had and continue to have many successful students who are from non-IT or non-mathematics backgrounds. But the subject matter is quantitative, and hence a background in maths, statistics or coding is helpful. If you have specific questions regarding eligibility or prerequisites for any program, please contact us at +91 9019217000.
Long term programs are better suited to professionals looking to transition to an entirely new role in data science or machine learning, or those who are looking to start careers in these fields. They are more comprehensive and prepare you a variety of roles in these domains. With this knowledge, professionals will have the flexibility to choose the type of role they move into.
If you are enrolled for any of our in-person classes, you can ask your questions during the live sessions. For online learning, you can reach our faculty through email, call, chat (Google hangouts) or ask via the forum. Once the course is over, you can still get in touch with us via email.
We have a strong network in the field of analytics. We are constantly in touch with various companies for their hiring and training needs. We identify the right opportunities for our students and help them get in touch with the relevant HR teams.
Success Stories & Placements
"Kanav, an IT professional, switched to analytics, and gained a HUGE salary hike in six months After working for over two years as a data test engineer with a leading software MNC, Kanav decided ..."
Kanav Nayyar
Founder, Data Analyst, Leading Analytics Company
