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Tableau Advanced Analytics with R Training
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Drive Team Excellence with Tableau Advanced Analytics with R Corporate Training

Empower your teams with expert-led on-site, off-site, and virtual Tableau Advanced Analytics with R Training through Edstellar, a premier corporate training provider for organizations globally. Designed to meet your specific training needs, this group training program ensures your team is primed to drive your business goals. Help your employees build lasting capabilities that translate into real performance gains.

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.

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Key Skills Employees Gain from instructor-led 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
    Data Visualization Techniques involve presenting data graphically to convey insights clearly. This skill is important for roles like data analysts and business intelligence professionals, as it enhances decision-making and communication.
  • Tableau and R Integration
    Tableau and R Integration is the ability to combine data visualization in Tableau with statistical analysis in R. This skill is important for data analysts and business intelligence roles, as it enhances data-driven decision-making through advanced analytics and visual storytelling.
  • Interactive Dashboard Creation
    Interactive Dashboard Creation involves designing dynamic visual displays that present data insights effectively. This skill is important for data analysts and business intelligence roles, as it enhances decision-making through clear, actionable visualizations.
  • Tableau Advanced Analytics
    Tableau Advanced Analytics involves using advanced features in tableau to analyze data deeply. this skill is important for data analysts and business intelligence roles to derive actionable insights.
  • Statistical Analysis with R
    Statistical Analysis With R involves using R programming to interpret data, identify trends, and make data-driven decisions. This skill is important for data analysts and researchers, as it enables them to derive insights and support strategic initiatives effectively.
  • Data Mining Techniques with R
    Data Mining Techniques With R involves extracting valuable insights from large datasets using R programming. This skill is important for data analysts and scientists to uncover patterns, drive decisions, and enhance business strategies.

Key Learning Outcomes of Tableau Advanced Analytics with R Training Workshop for Employees

Upon completing Edstellar’s Tableau Advanced Analytics with R workshop, employees will gain valuable, job-relevant insights and develop the confidence to apply their learning effectively in the professional environment.

  • 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 group training classes provides your team with a powerful opportunity to build skills, boost confidence, and develop a deeper understanding of the concepts that matter most. The collaborative learning environment fosters knowledge sharing and enables employees to translate insights into actionable work outcomes.

  • 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 structured into focused modules developed by industry experts. This training for organizations provides an interactive learning experience that addresses the evolving demands of the workplace, making it both 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

Who Can Take the 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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At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Tableau Advanced Analytics with R training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

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Edstellar's Tableau Advanced Analytics with R virtual/online 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
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Edstellar's Tableau Advanced Analytics with R inhouse 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
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Edstellar's Tableau Advanced Analytics with R offsite group training 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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        Edstellar: Your Go-to Tableau Advanced Analytics with R Training Company

        Experienced Trainers

        Our trainers bring years of industry expertise to ensure the training is practical and impactful.

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        With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.

        Industry-Relevant Curriculum

        Our course is designed by experts and is tailored to meet the demands of the current industry.

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        Our course can be customized to meet the unique needs and goals of your organization.

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        We provide pre and post training support to your organization to ensure a complete learning experience.

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        Testimonials

        What Our Clients Say

        We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

        "The Tableau Advanced Analytics with R course revolutionized how I approach my daily responsibilities. As a Principal Data Architect, understanding industry best practices was essential, and this training invaluable real-world experience. My productivity and technical capabilities have increased dramatically since applying these concepts. The instructor's insights on hands-on exercises have proven instrumental in my professional advancement.”

        Pedro Bradley

        Principal Data Architect,

        Customer Insights Company

        "The Tableau Advanced Analytics with R training enhanced my ability to architect and implement sophisticated technical mastery strategies. Understanding practical applications through intensive practical simulations exercises proved enterprise initiatives. Our solution delivery efficiency and quality have increased substantially across the board. The detailed exploration of interactive labs provided methodologies I leverage in every engagement.”

        Pablo Torres

        Lead Analytics Engineer,

        Business Analytics Solutions Provider

        "The Tableau Advanced Analytics with R training gave our team advanced advanced methodologies expertise that revolutionized our operational excellence approach. As a Principal ETL Developer, understanding expert-led workshops and hands-on our entire portfolio. Our team has automated eighteen critical business processes, reducing manual effort by 70%. This training has become foundational to our team's strategic capabilities and continued growth.”

        Tawfiq Ghalib

        Principal ETL Developer,

        Performance Analytics Firm

        “Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

        Aditi Rao

        L&D Head,

        A Global Technology Company

        Get Your Team Members Recognized with Edstellar’s Course Certificate

        Upon successful completion of the 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.

        Certificate of Excellence

        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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