Training R | Data Mining | Data Science | Algorithms
Master programming in R with our interactive training course. Learn about Data Science, data mining, predictive models, the success factors, and more.

Training R: applying Data Science

Our R and data mining training course is focused on the actual application of Data Science. We use the programming language R, knowledge flows, and WEKA as tools to process the data science.

What are the most important challenges discussed in this course? And what are the learning aims?

  • What is data science, pattern recognition, and data mining? What, exactly, is R?
  • What is an algorithm, and how do you use R to build a reliable predictive model?
  • What types of predictive models are there, and when do you use which one?
  • How can you master programming in R?
  • What are the success factors of R & data mining in terms of implementation?

The training R will answer all of these questions, and more. You’ll also learn how to work with R in practice. An ideal combination of theory and practice.

A new field to explore

Data Science is a new field all about discovering trends and patterns in data. These discoveries then form the basis of predictive models.

Discovering the basic principles of R

  • During this training course, you’ll discover the various applications and appearance forms of data science in practice. What role does the data scientist play in an organization? And which possibilities are there to realize new business models? You can then start using the basic principles of R so that you can steer the ship.
  • Afterwards, you’ll discover, research, and use the various algorithms: data mining. You’ll do this using WEKA, a collection of ready-made machine learning algorithms. Using this knowledge and knowledge of the algorithms, you’ll work with R in groups or alone. You’ll try out the different algorithms, and learn to look at their applications. You’ll learn how to influence the algorithms and the effects of that.

Knowledge flow WEKA

  • Finally, this R training will discuss practical questions. You’ll answer these from the Data Science perspective. You’ll learn to strategically apply R: how do you determine the most successful model, and what is the business value of a prediction?

New possibilities every day with the R training

During this training, you’ll learn new techniques and possibilities every day. You’ll learn to directly apply them and evaluate them so you can use them in your daily practice. After completing this R training you’ll have a solid base to use Data Science in your organization.

Modules of the 5-day training R & data mining

The R & Data Science training course consists of five modules. These modules will immerse you in the specialist field of Data Science and the programming language R. Upon completion, you’ll be able to program in R and develop algorithms. You’ll also learn to implement them.

Day 1: Data Science & the basics of R

day 1Data Science for public and commercial organizations.

  • What’s the position of Data Science as opposed to other fields?
  • How can you best apply Data Science?
  • Why is Data Science important to your company, especially now?
  • Practical examples.

Data Science in R: basic skills and commands.

  • What is R?
  • Installation
  • R Studio
  • Basic commands
  • Objects and data types
  • Vector and matrix operations.

Day 2: Algorithms, data mining, and R packages

day 2Introduction to algorithms.

  • What is an algorithm?
  • Building an algorithm.
  • Algorithms and applications.
  • ZeroR, OneR, and Decision Tree research.

Applying algorithms in R.

Day 3: Delving into data processing and regression models

day 3A deeper dive into data processing.

  • Functions
  • Aggregation
  • Data editing
  • Graphs and data visualization

Regression models

Day 4: Supervised and unsupervised learning models

day 4Data Science in R: (un)supervised learning models.

Day 5: Data Science strategy, selection, and reliability

day 5Data Science in R: strategy and predictions

  • Predictive models
  • The right algorithms and the right combination of algorithms
  • Reliability of models and algorithms
  • Application in practice

About the teacher: Tom Langerak

Tom LangerakTom Langerak is a data scientist en commonly requested international trainer, Data Analytics consultant, and coach. Tom is a results-oriented, data-driven, and experienced developer of people and organizations. Tom has been training for dozens of years, and he developed the training R 5 years ago, continuing to hone it ever since.

Interactive training R

Every day of the course contains challenging practical assignments and group discussions. You’ll learn to program in practice. That creates an optimal combination between learning and doing. After completing this unique R training you’ll receive a certificate and a digital badge for LinkedIn.

Who is this training R meant for?

This training provides a great jumping-off point for anyone involved in a Data Science or Big Data project. This training course is mostly taken by (up-and-coming) Business Analytics project leaders, Data Scientists, Data Architects, BI managers, Data Science managers, business analysts, data analysts, and business managers.

Contact us now for in-company training

Our teachers would love to visit your organization and share their expertise. Contact us now to discuss the possibilities for in-company training.

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A selection of our customers

Become a customer with us now

Do you also want to become a customer of ours? We are happy to help you with training r (data mining) or other things that will make you smarter.

Daan van Beek, Managing Director

DAAN VAN BEEK MSc

Managing Director

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Fact sheet

Number of organizations serviced
12667
Number of training courses
12668
Number of participants trained
12669
Overall customer rating
8.9
Number of consultants & teachers
12670
Number of offices
3
Number of years active
14