Upcoming Batches for Data Analytics with R Programming Certification Training (Self-Paced)
Course Description
Data Analytics with R training will help you gain expertise in R Programming, Data Manipulation, Exploratory Data Analysis, Data Visualization, Data Mining, Regression, Sentiment Analysis, and using R Studio for real-life case studies on Retail, Social Media. This course is well suited for professionals and beginners. You will learn different types of supervised and unsupervised Machine Learning algorithms and how to implement them using R. This training encompasses a conceptual understanding of Data Manipulation, Visualization, Mining and other relevant concepts to kickstart your Data Analytics career.
Prerequisite
The prerequisites for Data Analytics with R training include the fundamental understanding of Computer Programming Languages. Fundamentals of Data Analysis practiced over any data analysis tool like SAS/R will be a plus. However, you will be provided with complimentary “R Essentials” as a self-paced course once you enroll in the Data Analytics with R Programming certification course.
Who should take this course?
- Programmers, Developers, Technical Leads
- Developers aspiring to be R programmers
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine
- Learning (ML) Techniques
- Information Architects who want to gain expertise in
- Professionals who want to design automatic predictive models
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The prerequisites for Data Analytics with R training include the fundamental understanding of Computer Programming Languages. Fundamentals of Data Analysis practiced over any data analysis tool like SAS/R will be a plus. However, you will be provided with complimentary “R Essentials” as a self-paced course once you enroll in the Data Analytics with R Programming certification course.
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After completing this Data Analytics with R Programming Certification course, you will 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 ML algorithms such as 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
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The Data Analytics with R training certifies you in mastering the most popular Analytics tool. "R" wins on Statistical Capability, Graphical capability, Cost, rich set of packages and is the most preferred tool for Data Scientists.
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R has been one of the most widely used, premier, and powerful open-source languages that offers comprehensive libraries which provide interactive graphics and makes data visualization and representation easy to analyze. It has been used for over a decade to perform simple and complex mathematical and statistical calculations on data. R produces plots and graphics that are free of error. It continues to be a favorite choice for data scientists who build and use machine learning applications and other scientific computations. It has also evolved into the most preferred language for Data Analytics. The increasing search trends also indicate that it is a must for professionals delving into the Data Analytics domain.
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Your system should have a minimum 4GB RAM and i3 processor or above.
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For doing your practicals, you would need to install R set-up or R-Studio on your system. The step-wise installation guides for setting up the environment on various operating systems are present in the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.