Data Practitioner

Lay a Foundation for a World of Analytical Possibilities. COMING SOON!

Format: Virtual Live Instructor-led Lab
Topic: Data Analytics



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Data Society

In collaboration with Data Society, Lean Methods is pleased to offer the Data Practitioner course as the first of two learning pathways in a comprehensive data science training program for professionals.  Sharpening the skills you need for a data-driven future begins with understanding data science basics. The Data Practitioner course consists of eight four-hour sessions that build up to a capstone project, providing everything you need to begin your journey working with R and create long-lasting value for your career. This training opens the pathway to advanced and scalable machine learning analytics techniques.

The first pathway, Data Practitioner, will provide a solid foundation while the second, Data Master, will explore more advanced topics and skills.

Learning Objectives

Automate processes

Accelerate analyses

Create static and interactive visualizations

Build RShiny apps

Apply new skills to real business use cases

Who Should Attend?

  • Data Analysts
  • Operations Analysts
  • Data Scientists
  • Continuous Improvement Expert
  • Transformation Professional
  • Quality Control Analyst
  • Quantitative Communications Analyst
  • Marketing Analysts
  • Master Black Belts
  • Black Belts
  • Green Belts with data mindset
  • Product Owner / Scrum Manager
  • Managers of data teams


Upon completion of the program, students will receive a Certificate in Data Analytics.

Take the First Steps Toward Success with R.

Novice learners begin by developing basic R programming skills and gaining knowledge to clean, analyze, and graph data. Data cleaning is essential for removing incorrect and duplicate data, managing any holes in the data, and ensuring the formatting is consistent. Once learners have cleaned the data, they move into the analysis stage, which is all about answering questions with data. Learners then explore data visualization, a powerful tool for transforming data into compelling stories that encourage action, before they dive into building RShiny apps. The Data Practitioner Track culminates in a capstone project that gives learners the opportunity to bring their new skills to life in real business use cases.

Data Society trains Fortune 1000 companies and government agencies to assess their levels of data literacy, train, and then integrate data into their daily work—teaching them to discover innovative ways of using data science, AI, and ML to achieve organizational goals. Most recently, Data Society surpassed its Inc. 5000 2021 ranking of No.1834 to reach No. 847 on this year’s list of the nation’s fastest-growing companies.

How many CEUs/PDUs are available?

3.2 CEUs

Full Agenda

Intro to R

Intermediate R

Data Wrangling in R

Intro to Data Visualization in R

Interactive Visualization with R

RShiny Apps



Internet connection with modern browser

Operating System: Microsoft Windows (7 and higher) or Apple Mac OS X

Display Properties Setting: Minimum 1024 x 768 screen resolution

Classes meet through Microsoft Teams

Recommended Browsers: Chrome, Firefox, Safari, Edge

For the best experience and optimum security, we recommend that you keep your browser up to date.

Legacy browsers with known issues:

Internet Explorer 10 and below

Safari 7 and below

Note: the course content requires that any pop-up blocker be disabled

Lean Methods Group reserves the right to cancel or re-schedule courses and to change instructors. We will do our best to ensure you are aware of changes six weeks prior to the course start date. Please be advised that in the event of a course cancellation, Lean Methods Group is not responsible for airfare penalties or other travel-related expenses you may incur.

While we recognize the need to cancel due to unforeseen events, we kindly ask that you consider the other students in this course when cancelling your enrollment.  We ask for six weeks advance notice so that we may fill your spot and ensure a fun class for the other students.

    • Requests for cancellations/transfers received at least six weeks before the start of the course receive a full refund/transfer to another workshop
    • Requests received within four weeks of the course shall receive a 50% refund.
    • After the course starts, there are no refunds or transfers.
    • Registrants who fail to attend without advance notice are liable for the entire course fee.
    • We can transfer your course fees to another Lean Methods e-learning or instructor-led course of your choice.

You must successfully complete the entire course or program before IACET CEUs, PDUs and a Certificate of Completion can be awarded.

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