Data Science With R

Learn and become a pro at R, the most widely used open-source analytics tool in the world. R is preferred by startups and smaller companies. This data science with r training in Bangalore (online) is useful at multiple career stages – hence it’s recommended for professionals, students, and managers. Data science has become the crux of every matter today. Whether you need to take your business to greater heights or enhance customer experience, data science has become the need of the hour. As the statistics of data science is heavy, it requires the strength of a great tool that can efficiently manage the statistical operations. R is the ideal tool that is used to implement several statistical procedures. It is an efficient language for different data science applications as it provides more capabilities. Data science with R has got a lot of potentials in the business world.Open R is the most widely used open-source language in analytics. From small to big enterprises, every other company is preferring R over the other languages. There is a constant need for professionals with having knowledge in data science using R programming. If you are also keen to foster your career in this field, it is advised to learn data science with R.
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GROUP OF 3 OR MORE [USD 800 PER PARTICIPANT]
INDIVIDUAL STANDARD PRICE [USD 1000 PER PARTICIPANT]
Course Features
- Lectures 32
- Quizzes 0
- Duration 4 days
- Skill level All levels
- Language Data Science
- Students 65
- Certificate No
- Assessments Yes
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DATA ANALYTICS WITH R
- • Data Science Introduction & Use Cases
- • R Basics: Basic Syntax, Variable assignment, Data Types-numeric, string, boolean
- • R Basics: Vectors, Matrices, Factors, Data Frames, ListsLoops, If-elif statements, Functions, Exception Handling
- • Statistics, Measures of central tendency, Population, Sample, Probability Distribution, Normal and Binomial Distribution, Random Variable, Pictorial Representations
- • R Advanced: Libraries
- • R Advanced: Data Manipulation, plots
- • Exploratory Data Analysis: Data Cleaning, Data Wrangling
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MACHINE LEARNING
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DEEP LEARNING WITH NLP
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ADVANCED MACHINE LEARNING