Practical Data Science with R Training


Data Science


Per Participant

Course Description

Practical Data Science with R (PDSwR) is the course to start with if you are starting as a data scientist or aspire to be one. If you already practice data science, PDSwR will fill in knowledge gaps and even give you a new perspective on the technologies you now employ.

This course covers data science, a discipline that builds predictive models using findings from machine learning, statistics, and computer science.

Critical business data is being gathered, curated, examined, and reported more frequently by business analysts and engineers. Without much academic theory or complex mathematics, one can efficiently complete daily Data Science work using the R language and its companion tools.

You can learn how to use the R programming language and practical statistical approaches in ordinary business circumstances with the help of experimental data science with R training. It demonstrates how to conduct experiments (such as A/B testing), create prediction models, and deliver results to audiences of different levels using examples from business intelligence, marketing, and decision support.

Prerequisites for this training


  • Familiarity with SQL databases, statistics, and R

Who should attend this course?

  • Data Scientists
  • Data Engineers
  • Data Analysts
  • Business Analysts


Apr 17, 2023

9:00 am - 5:30 pm EST

May 15, 2023

9:00 am - 5:30 pm EST

Jun 12, 2023

9:00 am - 5:30 pm EST

Jul 17, 2023

9:00 am - 5:30 pm EST

Aug 14, 2023

9:00 am - 5:30 pm EST

Sep 11, 2023

9:00 am - 5:30 pm EST
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What you will learn

  • Business professionals' guide to data science
  • Utilizing R to conduct statistical analyses
  • Planning through delivery: the lifespan of a project
  • Many immediately recognizable usage cases
  • Effective data presentations: key elements


a. The data science process

  • The roles in a data science project
  • Stages of a data science project
  • Setting expectations
  • b. Loading data into R

  • Working with data from files
  • Working with relational databases
  • c. Exploring data

  • Using summary statistics to spot problems
  • Spotting problems using graphics and visualization
  • d. Managing data

  • Cleaning data
  • Sampling for modeling and validation
  • a. Choosing and evaluating models

  • Mapping problems to machine learning tasks
  • Evaluating models
  • Validating models
  • b. Memorization methods

  • KDD and KDD Cup 2009
  • Building single-variable models
  • Building models using many variables
  • c. Linear and logistic regression

  • Using linear regression
  • Using logistic regression
  • d. Unsupervised methods

  • Cluster analysis
  • Association rules
  • e. Exploring advanced methods

  • Using bagging and random forests to reduce training variance
  • Using generalized additive models (GAMs) to learn nonmonotone relationships
  • Using kernel methods to increase data separation
  • Using SVMs to model complicated decision boundaries
  • a. Documentation and deployment

  • The buzz dataset
  • Using knitr to produce milestone documentation
  • Using comments and version control for running documentation
  • Deploying models
  • b. Producing effective presentations

  • Presenting your results to the project sponsor
  • Presenting your model to end users
  • Presenting your work to other data scientists
  • With Microtek Learning, you’ll receive:

    • Certified Instructor-led training
    • Industry Best Trainers
    • Official Training Course Student Handbook
    • Pre and Post assessments/evaluations
    • Collaboration with classmates (not available for a self-paced course)
    • Real-world knowledge activities and scenarios
    • Exam scheduling support*
    • Learn and earn program*
    • Practice Tests
    • Knowledge acquisition and exam-oriented
    • Interactive online course.
    • Support from an approved expert
    • For Government and Private pricing*

    * For more details call: +1-800-961-0337 or Email:

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    For many years, Microtek Learning has been helping organizations, leaders, and professionals to reach their maximum performance by addressing the challenges they are facing.

    • 300+ enterprise clients
    • 100,000+ professionals trained
    • Service 70 of the Fortune 100
    • 96% of our clients would recommend us
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    I was sceptical at first whether to enrol with Microtek Learning or not, however, I am glad that I did- I got everything that was promised (maybe more). The trainer was very patient and knowledgeable and with his effort and mine, I was able to clear the exam with ease! Keep up the good work everyone.



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    I was recommended the ITIL 4 Foundation course by an IT professional who had completed the same course at Microtek Learning. The training gave me a thorough understanding of service management that I felt I could take back to my job as an IT Project Management and apply it to improve the value of products and services.

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    Course Details

    • Start Date: Apr 17, 2023
    • Duration: 5 Days
    • Enrolled: 1928
    • Price: $2795
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