INNOVEL

Data Science Using R - Course & Certification

Course Description
Key Topics Covered
Scope & Career Opportunities
Real Time Projects

Data Science

Heart Failure Prediction System
Speech Emotion Detection System using Python
Credit Card Fraud Detection System Python
Recipe Recommendation from the Ingredients Flutter App

Data Science Using R

70% of the Data Science job openings require less than five years of experience. Our Data Science, Data Engineering with Python, Data Science with R, and Data Analytics with Power BI courses meet the increasing demand for skilled professionals in this field. Learning data science and data analytics can open up many career opportunities in fields such as data analysis, business intelligence, and decision making.

Course Objective

Our courses provide students with the knowledge they need to become proficient in their chosen field of Data Science. Our training programmes aim to bridge the gap between industry demands and aspiring professionals' current skill set, assisting them in achieving their career objectives. We provide comprehensive training to prepare students for a rewarding career in data science.

Data Science using R

Enterprise JavaBeans
Clustering, Classification
Decision Tree and Forecasting
R Programming
Regression Analysis
Statistics & Probability

Scope & Career Opportunities

This course covers both fundamental and advanced machine learning concepts, such as data preparation, feature engineering, model selection, and optimisation. You will learn to use and implement popular machine learning algorithms such as regression, clustering, and decision trees in Python and R.