Data Science with R
120h
Course Features:
- 120 hours of Instructor led-Online Training
- Thought provoking discussion
- Hands-on training in R
- Projects Case studies
- Practical Examples and projects
Course Objectives:
This Data Science R course effectively covers data analytics, statistical predictive modelling and
machine learning through various practical examples and projects.
At the end of the course, one can work on Data Science concepts and start working as a Data
Scientist, Data Analyst.
Course Outline :
Analytics :
- Introduction To Data Science with R
- Introduction – Data Importing/Exporting
- Data Manipulation
- Data Analysis – Visualization
Modelling :
- Introduction To Statistics
- Introduction to Predictive Modelling
- Data Exploration Data Preparation
- Solving Segmentation Problems
- Linear Logistic Regression
- Time Series Forecasting: Solving Forecasting Problems
Machine Learning with R :
- Machine Learning – Predictive Modelling – Basics
- Unsupervised Learning
- Supervised Learning: Decision Trees
- Supervised Learning: Ensemble Learning
- Artificial Neural Networks
Pre-requisites
- This Data Science with R programming is beneficial for all aspiring data scientists including, IT professionals or software developers, Finance, Maths, Statistics looking to make a career switch into Data analytics and graduates wishing to build a career in Data Science, and experienced professionals willing to harness Data Science in their fields can join the course.
Text Mining & Natural Language Processing:
- Upgrade your skills to learn Julia
Where to go from here?
- Upgrade your skills by learning Julia
- Interview Preparation
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