Live Virtual

88,000
54,752

  • IBM® & IABAC® Certification
  • 6-Month | 400 Learning Hours
  • 120-Hour Live Online Training
  • 25 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Self Learning

62,000
36,885

  • IBM® & IABAC® Certification
  • 365 Days Flexi Pass + Cloud Lab
  • 25 Capstone & 1 Client Project
  • Internship + Job Assistance

Classroom

88,000
71,344

  • IBM® & IABAC® Certification
  • 6-Month | 400 Learning Hours
  • 64-Hour Classroom Sessions
  • 25 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship + Job Assistance

ABOUT R PROGRAMMING TRAINING IN PUNE

Data Scientists are in high demand worldwide for the availability of large chunk of raw data across various sectors. With every Business now looking to data and analytics to achieve a competitive edge, there are huge career opportunities awaiting the certified Data Scientists.

DataMites™ is the global institute for Data Science accredited by International Association of Business Analytics Certifications (IABAC). DataMites™ Certified Data scientist with R training program in Hyderabad is a course that has been designed keeping in mind the fast changing demands and requirements of the Business. It also focuses on the understanding of latest Data Science concepts as well as Data analytics tools and techniques. Acquire the knowledge, qualification, and skills in this area to gain a competitive advantage.

R PROGRAMMING TRAINING COURSES

Why Datamites

Why DataMites Infographic

DESCRIPTION

Become an expert in this lucrative "Data Mining" field with DataMites's training program. This Data Mining program provides requisite knowledge on concepts of Data analysis using R language and also the techniques of Machine learning and Text Mining. These are the most premier and demanding concepts needed to analyse the huge volume of data from different perspectives to gain better business insights. By choosing this DataMite's "Data Mining" course, it allows you to set your complete focus on these specified topics, R language, Machine learning and Text Mining to gain a specialisation.

This course comes as a perfect package by allowing you to learn about entire data lifecycle and all the methods to achieve the same. You would not just learn about the data analytics techniques and tools but also learn on how to apply them to raw data and obtain business insights.

Syllabus

  • Installing R and R Studio
  • Creating Objects in R
  • Creating Arrays
  • Creating Data frames
  • Use of Structure
  • Dimensions
  • Loading CSV files
  • Foreign packages into R
    • Data Manipulation with R
    • Loading vectors in R
    • Combining to vectors in R
    • Cleaning Data with R
    • Swapping Data
    • Sorting Data,
  • Converting unstructured to structured data
  • usage of :
    • sub
    • Gsub
    • Regexpr
    • Gregexpr
    • Apply
    • lapply
  • Usage of
    • Plot, lines, boxplot, stars,
    • barplot, pie, hist, rug, sunflowerplot,
  • Various parameters of histograms
  • tabplot, ggplot2, maptools
  • extracting data from URLs
  • Case study on Data Science project with R language

FAQ'S

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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