Drive Team Excellence with Tableau Advanced Analytics with R Corporate Training

Empower your teams with expert-led on-site/in-house or virtual/online Tableau Advanced Analytics with R Training through Edstellar, a premier Tableau Advanced Analytics with R training company for organizations globally. Our customized training program equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific training needs, this Tableau Advanced Analytics with R group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

Tableau Advanced Analytics with R combines R's statistical programming with Tableau's data visualization to perform complex analyses and build predictive models. This integration enhances data insights by merging advanced analytics with visualizations, aiding in more accurate forecasting and decision-making. Tableau Advanced Analytics with R training course enables the organization to harness the full potential of its data through advanced analytics and visualization.

Tableau Advanced Analytics with R instructor-led training course provided by Edstellar can be customized to meet team requirements. The virtual/onsite Tableau Advanced Analytics with R training course led by expert trainers ensures that employees are proficient in leveraging technologies to uncover deep insights, perform sophisticated data analysis, and create impactful visualizations.

Key Skills Employees Gain from Tableau Advanced Analytics with R Training

Tableau Advanced Analytics with R skills corporate training will enable teams to effectively apply their learnings at work.

  • Data Visualization Techniques
  • Tableau and R Integration
  • Interactive Dashboard Creation
  • Tableau Advanced Analytics
  • Statistical Analysis with R
  • Data Mining Techniques with R

Key Learning Outcomes of Tableau Advanced Analytics with R Training Workshop

Edstellar’s Tableau Advanced Analytics with R group training will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Tableau Advanced Analytics with R workshop, teams will to master essential Tableau Advanced Analytics with R and also focus on introducing key concepts and principles related to Tableau Advanced Analytics with R at work.


Employees who complete Tableau Advanced Analytics with R training will be able to:

  • Install and configure R and RStudio for data analysis 
  • Utilize R functions and libraries for data manipulation, including creating and working with vectors, lists, matrices, factors, and data frames 
  • Apply the CRISP-DM methodology for data mining projects, including data preparation, model building, evaluation, deployment, and monitoring 
  • Build and interpret simple and multiple linear regression models using R to understand relationships between variables
  • Develop and evaluate classification models in R to categorize data points

Key Benefits of the Tableau Advanced Analytics with R Group Training

Attending our Tableau Advanced Analytics with R classes tailored for corporations offers numerous advantages. Through our Tableau Advanced Analytics with R group training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Tableau Advanced Analytics with R.

  • Equips the team with the techniques to install and configure R and RStudio for data analysis
  • Develops required skills in employees to manipulate data using R functions and libraries for tasks like creating vectors, lists, matrices, and data frames
  • Provide insights into applying the CRISP-DM methodology to manage the entire data mining lifecycle
  • Empower employees with the skills to build and interpret regression models in R to understand relationships between variables
  • Cultivate ideas in teams for developing and evaluating classification models to categorize data points using R

Topics and Outline of Tableau Advanced Analytics with R Training

Our virtual and on-premise Tableau Advanced Analytics with R training curriculum is divided into multiple modules designed by industry experts. This Tableau Advanced Analytics with R training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. Installing R and RStudio
    • Step-by-step installation guide
    • Configuration and setup
  2. Installing Rserve
    • Purpose of Rserve
    • Installation and configuration
  3. Environment of R
    • Understanding the R environment
    • Basic commands and operations
  4. Connecting to Rserve
    • Establishing a connection
    • Troubleshooting common issues
  1. Variables
    • Defining and using variables
    • Data types in R
  2. Vectors and lists
    • Creating and manipulating vectors
    • Understanding lists and their applications
  3. Matrices
    • Creating matrices
    • Performing operations on matrices
  4. Factors
    • Understanding factors
    • Using factors in data analysis
  5. Data frames
    • Creating data frames
    • Manipulating data frames
  6. Control structures
    • Conditional statements
    • Looping structures
  7. For loops
    • Writing and using for loops
    • Loop optimization techniques
  8. Functions
    • Defining functions
    • Writing functions
  9. Using R in Tableau
    • Integration of R with Tableau
  1. CRISP-DM model - data preparation
    • Understanding CRISP-DM phases
    • Data cleaning and transformation techniques
  2. CRISP-DM - modeling phase
    • Selecting modeling techniques
    • Building models
  3. CRISP-DM - evaluation
    • Model evaluation methods
    • Performance metrics
  4. CRISP-DM - deployment
    • Implementing models in production
    • Monitoring and maintenance
  5. CRISP-DM - process restarted
    • Iterative process of CRISP-DM
    • Continuous improvement
  6. CRISP-DM - summary
    • Overview and key takeaways
  7. Working with dirty data
    • Identifying and handling missing data
    • Outlier detection and treatment
  8. Introduction to dplyr
    • Core functions of dplyr
    • Practical applications of dplyr
  9. Summarizing data with dplyr
    • Aggregation and summarization techniques
    • Grouping and summarizing data
  1. Simple linear regression
    • Building and interpreting simple linear models
    • Visualization of regression results
  2. Comparing actual values with predicted results
    • Error metrics and evaluation
    • Model accuracy assessment
  3. Building a multiple regression model
    • Developing multiple regression models
    • Handling multicollinearity
  4. Solving the business question
    • Applying regression models to real-world problems
  5. Sharing data analysis with Tableau
    • Visualization techniques in Tableau
    • Effective communication of analysis results
  1. Understanding the data
    • Data exploration techniques
    • Identifying key features
  2. Data preparation
    • Data cleaning and preprocessing
    • Feature engineering
  3. Describing the data
    • Statistical summary and visualization
    • Data distribution analysis
  4. Modeling in R
    • Building classification models
    • Model evaluation and validation
  5. Decision trees in Tableau using R
    • Creating decision trees
    • Visualization and interpretation
  6. Bayesian methods
    • Understanding Bayesian classification
    • Practical applications of Bayesian methods
  7. Graphs
    • Visual representation of classification results
    • Creating graphs in Tableau
  1. What is clustering?
    • Introduction to clustering techniques
    • Use of clustering
  2. Finding clusters in data
    • Cluster analysis methods
    • Identifying the optimal number of clusters
  3. How does k-means work?
    • K-means clustering algorithm
    • Practical implementation of k-means
  4. Creating a Tableau group from cluster results
    • Visualization of clusters in Tableau
    • Grouping data based on clusters
  5. Scaling
    • Data scaling techniques
    • Impact of scaling on clustering
  6. Clustering without k-means
    • Alternative clustering methods
    • Comparison with k-means
  7. Statistics for clustering
    • Statistical measures for cluster evaluation
    • Assessing cluster quality
  1. What are neural networks?
    • Basics of neural networks
    • Neural network architectures
  2. Backpropagation and feedforward neural networks
    • Training neural networks
    • Understanding backpropagation
  3. Evaluating a neural network model
    • Model performance metrics
    • Validation techniques
  4. Lift scores
    • Calculating and interpreting lift scores
    • Application in model evaluation
  5. Visualizing neural network results
    • Visualization techniques for neural networks
    • Tools for visual representation
  6. Modeling and evaluating data in Tableau
    • Integration of neural networks with Tableau
  1. Introduction to decision systems and machine learning
    • Overview of decision systems
    • Role of machine learning in decision making
  2. Fuzzy logic
    • Basics of fuzzy logic
    • Applications in decision systems
  3. Bayesian theory
    • Fundamentals of Bayesian theory
  4. Integrating a decision system and IoT (internet of things) project
    • Building IoT projects with decision systems
  5. Building your own decision system-based IoT
    • Step-by-step guide to IoT project development
    • Hands-on exercises
  6. Writing the program
    • Programming techniques for IoT systems
  7. Testing
    • Testing methodologies
    • Ensuring system reliability
  8. Enhancement
    • Continuous improvement and updates
    • Scaling IoT projects

Target Audience for Tableau Advanced Analytics with R Training Course

The Tableau Advanced Analytics with R training program can also be taken by professionals at various levels in the organization.

  • Data Analysts
  • Business Intelligence Analysts
  • Data Scientists
  • Financial Analysts
  • Research Analysts
  • Data Engineers
  • Marketing Managers
  • Healthcare Analysts
  • Operations Analysts
  • Risk Analysts
  • HR Analysts
  • Product Analysts

Prerequisites for Tableau Advanced Analytics with R Training

Employees with a basic understanding of data analysis, R programming, Tableau, databases and SQL, analytical tools, and machine learning concepts can take up the Tableau Advanced Analytics with R training course.

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Corporate Group Training Delivery Modes
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At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

 Virtual trainig

Our virtual group training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations
The consistent training quality ensures uniform learning outcomes
Participants can attend training in their own space without the need for traveling
Organizations can scale learning by accommodating large groups of participants
Interactive tools can be used to enhance learning engagement
 On-site trainig

Edstellar's onsite group training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction
Workplace environment can be tailored to learning requirements
Team collaboration and knowledge sharing improves training effectiveness
Demonstration of processes for hands-on learning and better understanding
Participants can get their doubts clarified and gain valuable insights through direct interaction
 Off-site trainig

Edstellar's off-site group training programs offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement
Team bonding can be improved through activities
Dedicated schedule for training away from office set up can improve learning effectiveness
Boosts employee morale and reflects organization's commitment to employee development

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Tableau Advanced Analytics with R Corporate Training

Elevate your team's performance with our customized Tableau Advanced Analytics with R training. Find transparent pricing options to match your training needs. Start maximizing your team's potential now.

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        Edstellar: Your Go-to Tableau Advanced Analytics with R Training Company

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        Industry-Relevant Curriculum

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        Get Your Team Members Recognized with Edstellar’s Course Certificate

        Upon successful completion of the Tableau Advanced Analytics with R training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

        This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

        Course Completion Certificate

        We have Expert Trainers to Meet Your Tableau Advanced Analytics with R Training Needs

        The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

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