Course description
Data Analytics with R Certification Training
edureka's Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It covers concepts of Data Manipulation Exploratory Data Analysis etc before moving over to advanced topics like the Ensemble of Decision trees Collaborative filtering etc.
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Who should attend?
The pre-requisites for learning 'Data Analytics with R' includes basic statistics knowledge. We provide a complimentary course "Statistics Essentials for R" to all the participants who enroll for the Data Analytics with R Training. This course helps you brush up your statistics skills.
Training content
After the completion of the Edureka Data Analytics with R course you should be able to:
- Understand concepts around Business Intelligence and Business Analytics
- Explore Recommendation Systems with functions like Association Rule Mining user-based collaborative filtering and Item-based collaborative filtering among others
- Apply various supervised machine learning techniques
- Perform Analysis of Variance (ANOVA)
- Learn where to use algorithms - Decision Trees Logistic Regression Support Vector Machines Ensemble Techniques etc
- Use various packages in R to create fancy plots
- Work on a real-life project implementing supervised and unsupervised machine learning techniques to derive business insights
Certification / Credits
edureka certifies you as a 'Data Analyst' based on your project performance reviewed by our expert panel.