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Tableau R Training

(507 Ratings)
Rated 4.9 out of 5

Tableau R Training Course Online by Checkmate IT Tech offer a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field of Tableau by enrolling today. Unlock new career opportunities!

Tableau R Training is suitable for the following target audiences:

Data Analysts: Professionals looking to improve their statistical analysis and data visualization abilities are known as data analysts.

Business analysts: People who want to use Tableau and R to use data insights for strategic decision-making.

Data Scientists: Experts who wish to enhance their visual presentation of intricate data and models are known as data scientists.

Statisticians: People who want to apply sophisticated statistical techniques in user-friendly dashboards.

IT developers and professionals: Those looking to integrate data analytics into business solutions.s. 

Data Analyst: Conducting statistical studies and building informative dashboards.

Business Intelligence Analyst: Creating visual aids and reports to aid in decision-making is the responsibility of a business intelligence analyst.

Data Scientist: Using machine learning and predictive analytics to present findings graphically.

Statistical Analyst: Using Tableau for concise, useful presentations and R for in-depth statistical analysis.

BI Developer: Creating and implementing business intelligence programs that use R and Tableau.

Professionals with these talents are in high demand in the US and Canada, where fields including technology, healthcare, retail, and finance offer competitive pay and room for advancement.

  • Overview of data analytics and visualization
  • Introduction to Tableau environment and interface
  • Introduction to the R programming language
  • Role of R in statistical analysis and data science
  • Setting up R, RStudio, and Tableau integration
  • Basic R syntax and commands
  • Data types and structures in R
  • Working with vectors, matrices, and data frames
  • Importing and exporting data
  • Data manipulation basics in R
  • Hands On: Basic R scripting exercises
  • Data cleaning and preprocessing in R
  • Handling missing values and outliers
  • Using R libraries for data manipulation
  • Preparing datasets for Tableau visualization
  • Practice: Data preparation workflow using R
  • Connecting Tableau to datasets processed in R
  • Understanding dimensions and measures
  • Creating charts: bar charts, line charts, and scatter plots
  • Applying filters and sorting data
  • Practice: Creating visualizations using Tableau
  • Introduction to statistical modeling in R
  • Performing regression analysis
  • Predictive modeling basics
  • Using R scripts for analytical insights
  • Hands On: Statistical analysis with R
  • Running R scripts directly from Tableau
  • Using calculated fields with R functions
  • Advanced analytics extensions
  • Creating dynamic visualizations using R outputs
  • Forecasting techniques using R
  • Time-series analysis basics
  • Machine learning concepts in R
  • Visualizing predictive models in Tableau
  • Practice: Build predictive dashboards
  • Agile Project Simulation End-to-end product backlog creation
  • Resume Building for Agile BA
  • Mock Interviews & Job Placement

 Tableau R Training teaches how to integrate Tableau visualizations with advanced statistical analysis and predictive modeling using R.

No, the course introduces basic R programming before moving to advanced topics.

The duration is 2 months (8 weeks), with sessions held 2 times per week (either during week or weekends), including theory, hands-on practice and project work.

Yes, upon successful completion, you’ll receive a Certificate of Completion from Checkmate IT Tech. 

Absolutely! The course includes hands-on exercises, case studies, and a capstone project to simulate real Agile environments.

We offer online training classes to promote easy access to all candidates. Recordings are also made available for revision or if you miss a session.

Yes. We provide resume reviews, mock interviews, LinkedIn optimization, and guidance on job portals to help boost your chances in the job market.

Basic R scripting is required as an prior, but the course teaches it step-by-step.

You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.

https://checkmateittech.com/

Email info@checkmateittech.com     OR        Call Us +1-347-4082054

The course uses Tableau, R, RStudio and Rserve for integration.

Job opportunities in USA and Canada

Data Analyst: Conducting statistical studies and building informative dashboards.

Business Intelligence Analyst: Creating visual aids and reports to aid in decision-making is the responsibility of a business intelligence analyst.

Data Scientist: Using machine learning and predictive analytics to present findings graphically.

Statistical Analyst: Using Tableau for concise, useful presentations and R for in-depth statistical analysis.

BI Developer: Creating and implementing business intelligence programs that use R and Tableau.

Professionals with these talents are in high demand in the US and Canada, where fields including technology, healthcare, retail, and finance offer competitive pay and room for advancement.

.NET Training showcasing programming skills and hands-on coding practice.

Student Reviews

“This course helped me combine the power of R analytics with Tableau visualization. The predictive analytics modules were especially useful.”

Yaani Daniel

“The training was very practical. Learning how to run R scripts directly from Tableau opened up new possibilities for data analysis.”

Arthur Fin

“I liked the balance between programming and visualization. The instructor explained complex statistical concepts in a very simple way.”

Mia Hudson

“The course provided hands-on projects that helped me understand real-world analytics workflows using Tableau and R.”

Tom Walker

“Excellent course for anyone interested in advanced data analytics. The integration of R and Tableau made the dashboards much more powerful.”

Kevin Ron