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Lean Methods Group specializes in collaborative and strategic methodologies to improve business performace across all industries.

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Home / Training / Courses / DataMaster Part 2

DataMaster Part 2

Decision support for today, insight for tomorrow

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Grow Your Skillsets

DataMaster Part 2 offers a certification option for those students looking to dive deeper into more advanced data analytics tools, including R programming.

Course Overview
Length

5 days of coursework

Price

$3,750 USD
€3,450 EUR

How many CEUs are available?

3.6 CEUs

What other materials are included?
  • Certification
Are there any prerequisites?
Does this course count as one of the electives for the Master Black Belt and Lean Master programs?

Yes, DataMaster Part 2 is an elective course for both the Master Black Belt and Lean Master programs.

What analytical methodology and tools does the DataMaster course use?

Among other data analysis techniques, we teach the popular OSEMN methodology:

  • Obtain [your data]
  • Scrub [your data]
  • Explore [your data]
  • Model [your data]
  • INterpret [your results]

Tools you will use include R programming language.

Part 2 of the DataMaster program is a one-week offering designed to dive deeper into analytic tools for the data analytics student. Through the continued use of the analytic methodology delivered in Part 1, DataMasters learn how to use advanced tools such as the R programming language to perform advanced modeling techniques in a more sophisticated manner.

Upon completion of Part 2 of the DataMaster curriculum, students will have an opportunity to take an exam for certification. DataMaster Part 2 should be taken in conjunction with Part 1.

With this advanced toolset and training, certified DataMasters gain advanced skills required to analyze data, build models and create powerful visualizations that lead to valuable insight and better business decisions.


Course Schedule Options

I am a data geek to the core and enjoyed every minute of the DataMaster class. I found it valuable immediately in applying what I learned to business problems requiring a data-oriented solution when I returned to the office.

Janet L. Allbee, Statistical Analyst III, Strategic Analysis and Business Research, Colorado State Patrol

Course Details
  • Complete coursework for both DataMaster Part 1 and Part 2.
  • Pass all exams.

Part 2 of the DataMaster program is a one-week offering designed to dive deeper into analytic tools for the data analytics student. Through the continued use of the analytic methodology delivered in Part 1, DataMasters learn how to use advanced tools such as the R programming language to perform advanced modeling techniques in a more sophisticated manner.

Upon completion of Part 2 of the DataMaster curriculum, students will have an opportunity to take an exam for certification. DataMaster Part 2 should be taken in conjunction with DataMaster Part 1.

With this advanced toolset and training, certified DataMasters gain advanced skills required to analyze data, build models and create powerful visualizations that lead to valuable insight and better business decisions.

Questions about the course or want to learn more? Contact our Data Analytics team.

After completing the DataMaster program, you will be able to:

  • Obtain and process disparate sources of data into a format suitable for your analysis work.
  • Understand and apply techniques to clean data for effective modeling.
  • Analyze, explore and model your data.
  • Recognize where key data might be missing and use creative means to find or generate the data that is needed.
  • Uncover valuable insight from data using statistical methods and exploratory analysis.
  • Communicate data-based findings in visually compelling ways.

 

DataMasters work on projects that:

  • Draw on data available from varied internal, external and cross-domain sources.
  • Address difficult problems that have not been solved with conventional tools and wisdom.
  • Take complex information and make it easy to understand and communicate.
  • May not have a clearly defined outcome by approaching it with an exploration oriented mindset.

Over the course of five days, you will study the following topics:

Methodology
OSEMN

Part 2 Agenda

  • Introduction to R programming language
  • Naïve Bayes
  • Multiple Regression
  • Logistic Regression
  • Optimization
  • Clustering
  • Classification
  • Decision Trees
  • Time Series Forecasting
  • ARIMA
  • Association Rules
  • Case Study Work

DataMaster follows a guided introduction process along with the completion of an analytics case study.

R: Build powerful statistical models with R

The R programming language is widely used among statisticians and data analysts. R is a flexible, powerful language that is free and open-sourced and operates exactly the way problems are thought out. This makes it easy to learn and understand and the open-source platform makes it easy to find help when needed. DataMasters will be exposed to the language, commonly used code and ability for data mining and analysis.

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