Why LearnBusiness Analytics with R?

Around the world, 70% of data miners are reported to use R and 24% of it as their primary tool for statistical programming. Average salary levels for R programmer vary from $73K for a Programmer Analyst to $145K for a Data Scientist.

R is a programming language used for statistical computing, data analysis, and machine learning. Applications of R programming are so diverse in pure science as well as in real life, for eg. genomics, astronomy, chemistry, banking, clinical trials, health care, marketing etc. Professionals with R programming skills increasingly occupy data analytics positions across the globe.
Big Data Analytics using R certification course exposes you to the world of statistical programming. Along with Big Data and Hadoop, R programming provides a powerful combination to solve many Big Data problems. You will be able to comprehend Big Data concepts, significance of using R in Big Data Analysis, Industry use cases, and perform Advanced Analytics, Data Mining and Data Visualization.

Who should join Business Analyics with R

If you are a fresher and have a blend of mathematical & statistical skills and analytical talent, being a R Programmer will be a right career choice for you.

If you are a data engineering professional or a business analyst who want to enhance their professional value in Big Data Analytics, acquiring R programming skills is a plus.

If you are a researcher or already experienced in Data Science using other technologies like SAS, SPSS etc., learning R programming and packages can significantly enhance your career as a Data Scientist, both professionally and financially.

Prerequisites to learn R programming online

Though there are no formal pre-requisites for this training, experience in programming at least in one high-level language such as BASIC, C, Java, Python, or Ruby is strongly recommended.
Basic knowledge of statistics as covered in an undergraduate statistics course will be an added advantage.

WHY SCHOLARSPRO

CERTIFIED TRAINERS & INDUSTRY EXPERTS

200+ TRAININGS CONDUCTED

1400+ LEARNERS

HIGH QUALITY E-LEARNING

OUR LEARNING SOLUTIONS

LIVE ONLINE GROUP TRAINING

Bhartendu Saxena
(Certifications: R, Python, Microsoft SQL Server 2012)

COURSE ADVISOR

Bharetendu is certified in R, Python and Microsoft SQL Server 2012. He has an industry experience of almost 8 years and proficiency in Big Data Management, carrying out statistical analysis using various tools and softwares. Bhartendu is adept at quantitative analysis, using analytics for problem solving, model building and predictive analysis. He has rich experience in training business analytics.

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WHAT YOU GET

  • 30 hours of Live Instructor-led Online Training
  • Trainer with 7+ years of industry experience
  • 40 hours of real life industry project experience
  • Hands-on experience in data manipulation, statistical analysis, and graphics applications
  • Access to On-demand support by Experts
  • Get completion certificate in R programming

₹ 19,799.00 Enroll Now

CORPORATELEARNING SOLUTIONS

At ScholarsPro, we are committed to prepare professionals for the much required transformation, enabling them to accept challenges head on, for the ever evolving, new age technologies and business models. Partner with us on your employee development goals and you can rest assured that your team is being refined by the best of industry experts.
Having trained over 1000 of professionals from diverse domains, we have the relevant experience, as well as the resources, to not only help fulfill the training and development needs of your employees by fixing the gaps in their skill set, but also to make them shine as confident professionals, capable of delivering successful projects every single time.

SchaolarsPro Corporate Training Solutions entail:

  • Customized learning delivery model (self-paced online and/or instructor-led options)
  • Course, category, and all-access pricing
  • Learning management system (LMS)
  • Enhanced reporting for individuals and teams

If you wish to transform your employees into assets for your organization, do write to us with your training and development needs at info@scholarspro.com or fill the form below and we’ll get in touch with you!

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Course Contents to Learn R Programming Online

  1. Characteristics,
  2. Use cases and significance of R in Advanced Analytics
  1. Data Mining
  2. Data Visualization tools ( Endeca, Tableau)
  1. Installing R
  2. Writing and running simple example R programs
  3. Generating graphical results.
  1. Installing R
  2. Writing and running simple example R programs
  3. Generating graphical results.
  1. Reading in data from the keyboard and external sources
  2. Data structures for storing data:
  3. vectors
  4. matrices
  5. arrays
  6. data frames
  7. factors
  8. lists
  1. Numeric and character functions
  2. Control flow: branching and looping
  1. Calling package-installed functions
  2. Writing and calling programmer-defined functions
  1. bar plots
  2. pie charts
  3. histograms
  1. basic regressio
  2. analysis of variance
  1. Advanced graphing: annotating graphs, scatter plots and line charts
  2. Survey of sample intermediate statistical and machine learning techniques:
  3. Generalized linear models, regression and classification tree models.
  1. Final Examination

YOUR SUCCESS IS OURS TOO!

Manisha Vatsayam
Manisha VatsayamBusiness Development
Manager ICRI, India
“It was wonderful getting trained in Digital Marketing from SchoalrsPro. The trainer had a lot of knowledge in which will be ...
Sanjay Sinha
Sanjay Sinha Secretary ICAS,
India
“SchoalrsPro good place to learn R through online course. Great environment and very nice faculty.  All the best!”
Sanjeev Sharma
Sanjeev SharmaManager
Evalueserve, India
The course curriculum, study material and classes for Business Analytics course were very helpful in terms of knowledge and exposure ...
Manish
ManishAssistant Manager
Barclays Bank, India
“Incredible Trainer! I have been trying to learn SAS since 1 month on my own. Everything got jumbled up. Thanks ...
Ayush Sethi
Ayush SethiHCL, Singapore
First of all I would like to thank you for teaching some really good things in SAS. I found Macros ...

FAQs

SAS® and SPSS® are also specialized statistical software. SAS® is owned by SAS® Institute and SPSS® is owned by IBM®. While each of these have got their own niche in the market, now a days R is being adopted by majority of data professionals. Besides this, R is open source software which is licensed free of cost and supported by a large community of R professionals.

You may check out Base SAS® and Advanced SAS® courses as well before taking a decision.

R programming is being adopted by most of the statistical and analytics professionals worldwide.A large number of opportunities opening up in Big Data require knowledge of programming in R. Understanding of using R packages and programming in R can significantly improve your job prospects and career growth in Data Analytics.

There is a plethora of opportunities opening up in Big Data Analytics and having R programming knowledge is a big plus. Starting as a Programmer, you can move on to roles as a Business Analyst and move on to a Data Scientist role. Apart from this, there are other Data Engineering roles including Data Administration.

Though there are no formal pre-requisites for this training, experience in programming at least in one high-level language such as BASIC, C, Java, Python, or Ruby is strongly recommended.

Basic knowledge of statistics as covered in an undergraduate statistics course will be an added advantage.

This course is ideal for engineers, scientists, researchers, and business analysts who are keen to grow their career in Big Data and Analytics.

You will be able to comprehend Big Data concepts, Industry use cases, significance of using R in Big Data Analysis and perform Advanced Analytics, Data Mining and Data Visualization.

R packages are pre-built packages using R programming language and developed by other experienced statistical programmers who are part of the R language open source community. You can reuse these packages on your data for solving your statistical problems.

Yes, R being open source software, it is available to you free of cost and is available on multiple platforms. You can download the appropriate installable based on your platform from R official website.