About This Course
Ninjaz Academy’s Data Science with R certification course makes you an expert in data analytics using the R programming language. This online R training enables you to take your Data Science skills into a variety of companies, helping them analyze data and make more informed business decisions.
Our in-depth workshop on Data Science with R will help you master R and use its inbuilt functions and libraries for creating applications and programs for data science. R is a much preferred program because of its robustness, flexibility and ease of coding. Its various techniques such as clustering, time-series analyses and classification techniques, nonlinear/linear modelling and classical statistical tests make it apt for use in the field of statistical computation and data science.
The Data Science with R programming certification training covers data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. You will learn about R packages, how to import and export data in R, data structures in R, various statistical concepts, cluster analysis, and forecasting.
Key Features:
- Flexible Schedule
- Tailor Made Training
- 24 x 7 Expert Support
- Access to the Recorded Sessions
- Course material prepared by SMEs
- Get certified at an affordable price
- 30 Hours Instructor-led Online Training
- Get key resources from Ninjaz Academy
- Expert Data Science Certified instructors across the globe
- Data Science with R sample papers to prepare for your certification exam
Learning Objectives
Requirements
- There are no prerequisites for this Data Science with R certification course. If you are a beginner in Data Science, this is one of the best courses to start with.
Target Audience
- Those Interested in the field of data science
- Those looking for a more robust, structured R learning program
- Those wanting to use R for effective analysis of large datasets
- Software or Data Engineers interested in quantitative analysis with R
Curriculum
Introduction to Data Science
What is Data Science?
What does Data Science involve?
Era of Data Science
Business Intelligence vs Data Science
Life cycle of Data Science
Tools of Data Science
Introduction to Big Data and Hadoop
Introduction to R
Introduction to Spark
Introduction to Machine Learning
Statistical Inference
Data Extraction, Wrangling and Exploration
Introduction to Machine Learning
Classification Techniques
Unsupervised Learning
Recommender Engines
Text Mining
Time Series
Deep Learning
Your Instructors
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