Data Science

• B.Sc / M.Sc in Biotechnology

• B.Sc / M.Sc in Microbiology

• B.Sc / M.Sc in Genetics

• B.Sc / M.Sc in Biochemistry

• B.Sc / M.Sc in Life Sciences

• M.B.B.S / B.D.S / B.A.M.S / B.H.M.S

• B.Pharmacy / M.Pharmacy

• Graduates or Post Graduates in Nursing

• B.E (BT) / B.Tech (BT)

• Ph.D in Life Sciences / Biomedical Science

Data Science

• Data Science Fundamentals and introduction.

Data & Big Data

• Data Science Deep Dive

Statistics

• Statistics basics

R

• Intro to R Programming & Advanced R Programming

• Introduction to R

• R Programming Concepts

• Data Manipulation in R

• Data Import Techniques in R

• Exploratory Data Analysis (EDA) using R

• Data Visualization in R

Python

• Python Programming & Machine Learning

• Big Data and Hadoop Introduction

• Map Reduce Concepts

• PIG

• HIVE

• Sqoop

Machine Learning using R & Python

• Introduction

• ML Fundamentals

• Understanding Supervised and Unsupervised Learning Techniques

• Clustering

• Implementing Association rule mining

• Understanding Process flow of Supervised Learning Techniques

• Decision Tree Classifier

• Random Forest Classifier

• What is Random Forests

• Naive Bayes Classifier.

• Project Discussion

• Problem Statement and Analysis

• Linear Regression

• Logistic Regression

• Text Mining

• Sentimental Analysis

• Support Vector Machines

• Deep Learning

• Time Series Analysis

Algorithms in Machine Learning

Artificial Intelligence

Data Visualisation

Apache Spark using Python

• Apache Spark

• Spark Core Architecture

• Spark Internals Detailed

• Intro to Spark Streaming

• Intro to Spark GraphX Programming

• Intro to Spark Mllib

During the training period thefollowing modules will be covered as a part of Student career Improvement Program.

• Communication and Soft skill development

• Just A Minute Sessions

• Seminars

• Case studies

• Mock interviews

• Guest lectures

• Guest lectures

• Student improvement program

• Professional career building

• Organizing Resume

• Knowledge Sharing on new techniques

• Clinnovo e-brochure Download


• Scientific Job e-brochure Download