Learn One on One with Trainers from Industry with 20 Plus years of Experience in Consulting & Academics.
During your course you will be interacting with experts from the industry which will enhance your skills and thinking significantly thus benefiting in your journey to a successful career.
Showcase your Capstone projects as part of your Profile Building Collateral
Our team will also assist you in placements by providing Network access for the positions in Analytics space.
This course has been endorsed by SiCureMi an IIT Delhi incubated Analytics Firm.
Access Content on LMS, Manage Projects Submission, Tech Support Logging and Digital Certificate
Module 1: Introduction To Data Science
Module 2: Life cycle of data science
Module 3: Skills required for data science Career path in data science
Module 4: Applications of data science
Module 5: Technology
Discussion & Guidance
Module 6: Introduction to Data
Module 7: Measures of Central Tendency
Module 8: Measures of Dispersion
Module 9: Measures of Skewness and Kurtosis
Module 10: Inferential Statistics
Module 11: Random Sampling & probability Distribution
MCQ Assessment
Discussion & Guidance
Module 12: Installation & Environment Setup
Module 13: Data Types
Module 14: Data Structures
Module 15: Operators
Module 16: Control Statements
Module 17: Loops
Module 18: Functions - Built In & User Defined
Module 19: Array Processing Package
Module 20: Data Manipulation Package
Module 21: Visualisation Package
MCQ Assessment
Discussion & Guidance
Module 22: Statistical /Machine Learning
Module 23: Linear Regression (Real Estate Price Prediction Case Study)
Module 24: Logistic Regression (Direct Marketing Campaign Case Study)
MCQ Assessment
Discussion & Guidance
Module 25: Association Rule Mining (Retail Recommendation Case Study)
Module 26: K Means (Market Segmentation Case Study)
Module 27: Time Series (Automotive Sales Forecasting Case Study)
MCQ Assessment
Discussion & Guidance
Module 28: K Nearest Neighbours (Cancer Detection Case Study)
Module 29: Decision Tree (Diabetics Detection Case Study)
Module 30: Support Vector Machines (Hand Written Text Recognition Case Study)
Module 31: Ensemble Learning : Bagging, Random Forests, Boosting (Hr Attrition Prediction Case Study)
MCQ Assessment
Discussion & Guidance
Module 32: Artificial Neural Network (Functional Arithmetic Learner Case Study)
Module 33: Deep Neural Network (Sales Forecasting Case Study)
Module 34: Recurrent Neural Networks (Stock Price Prediction Case Study)
Module 35: Convolutional Neural Networks (Face Recognition Case Study)
Module 36: Computer Vision (Face Detection Case Study)
MCQ Assessment
Discussion & Guidance
Stream 1: R Programming for Data Science
Stream 2: MySQL
Stream 3: Basic to Advanced Excel
Stream 4: Tableau
Stream 5: Java Programming
Stream 6: Business Analytics
Stream 7: Visual Analytics
Those with Engineering or Programming background wanting to become a Data Scientist
Any Data Analyst or Software Developer aspiring to be a Data Scientist
Professionals wanting to build machine learning models, using distributed storage and distributed processing
Managers from Analytic background and those who are leading a team of Analysts
Those who have taken up data science course but don't feel confident about executing their learnings in real world scenarios
Above All any one who has curiosity of a child to Learn new things
Program will be executed by Mohan Rai, IIM qualified Trainer/Mentor/Consultant. Mohan Rai is an IIM Bangalore Alumni with more than 20 years experience in Analytics and has worked closely with different business heads in diverse domains.