Corporate Tableau Advanced Analytics with R Training Course

Name: Tableau Advanced Analytics with R Training
Availability: InStock

Edstellar's Tableau Advanced Analytics with R instructor-led training course equips employees with advanced data visualization and analytical skills using R and Tableau. Teams will learn data manipulation in R, integrate R with Tableau, build predictive models, and effectively communicate insights through compelling visualizations.

Duration

16 - 40 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Tableau Advanced Analytics with R Corporate Training

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.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

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.

What Your Team Will Achieve After This Training

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

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Advanced Analytic with R And Tableau

Installing R and RStudio
- Step-by-step installation guide
- Configuration and setup
Installing Rserve
- Purpose of Rserve
- Installation and configuration
Environment of R
- Understanding the R environment
- Basic commands and operations
Connecting to Rserve
- Establishing a connection
- Troubleshooting common issues

The Power of R

Variables
- Defining and using variables
- Data types in R
Vectors and lists
- Creating and manipulating vectors
- Understanding lists and their applications
Matrices
- Creating matrices
- Performing operations on matrices
Factors
- Understanding factors
- Using factors in data analysis
Data frames
- Creating data frames
- Manipulating data frames
Control structures
- Conditional statements
- Looping structures
For loops
- Writing and using for loops
- Loop optimization techniques
Functions
- Defining functions
- Writing functions
Using R in Tableau
- Integration of R with Tableau

Methodology for Advanced Analytics

CRISP-DM model - data preparation
- Understanding CRISP-DM phases
- Data cleaning and transformation techniques
CRISP-DM - modeling phase
- Selecting modeling techniques
- Building models
CRISP-DM - evaluation
- Model evaluation methods
- Performance metrics
CRISP-DM - deployment
- Implementing models in production
- Monitoring and maintenance
CRISP-DM - process restarted
- Iterative process of CRISP-DM
- Continuous improvement
CRISP-DM - summary
- Overview and key takeaways
Working with dirty data
- Identifying and handling missing data
- Outlier detection and treatment
Introduction to dplyr
- Core functions of dplyr
- Practical applications of dplyr
Summarizing data with dplyr
- Aggregation and summarization techniques
- Grouping and summarizing data

Prediction with R & Tableau Using Regression

Simple linear regression
- Building and interpreting simple linear models
- Visualization of regression results
Comparing actual values with predicted results
- Error metrics and evaluation
- Model accuracy assessment
Building a multiple regression model
- Developing multiple regression models
- Handling multicollinearity
Solving the business question
- Applying regression models to real-world problems
Sharing data analysis with Tableau
- Visualization techniques in Tableau
- Effective communication of analysis results

Classifying Data with Tableau

Understanding the data
- Data exploration techniques
- Identifying key features
Data preparation
- Data cleaning and preprocessing
- Feature engineering
Describing the data
- Statistical summary and visualization
- Data distribution analysis
Modeling in R
- Building classification models
- Model evaluation and validation
Decision trees in Tableau using R
- Creating decision trees
- Visualization and interpretation
Bayesian methods
- Understanding Bayesian classification
- Practical applications of Bayesian methods
Graphs
- Visual representation of classification results
- Creating graphs in Tableau

Advanced Analytics Using Clustering

What is clustering?
- Introduction to clustering techniques
- Use of clustering
Finding clusters in data
- Cluster analysis methods
- Identifying the optimal number of clusters
How does k-means work?
- K-means clustering algorithm
- Practical implementation of k-means
Creating a Tableau group from cluster results
- Visualization of clusters in Tableau
- Grouping data based on clusters
Scaling
- Data scaling techniques
- Impact of scaling on clustering
Clustering without k-means
- Alternative clustering methods
- Comparison with k-means
Statistics for clustering
- Statistical measures for cluster evaluation
- Assessing cluster quality

Advanced Analytics with Unsupervised Learning

What are neural networks?
- Basics of neural networks
- Neural network architectures
Backpropagation and feedforward neural networks
- Training neural networks
- Understanding backpropagation
Evaluating a neural network model
- Model performance metrics
- Validation techniques
Lift scores
- Calculating and interpreting lift scores
- Application in model evaluation
Visualizing neural network results
- Visualization techniques for neural networks
- Tools for visual representation
Modeling and evaluating data in Tableau
- Integration of neural networks with Tableau

Implementing Decision Systems and IoT Integration

Introduction to decision systems and machine learning
- Overview of decision systems
- Role of machine learning in decision making
Fuzzy logic
- Basics of fuzzy logic
- Applications in decision systems
Bayesian theory
- Fundamentals of Bayesian theory
Integrating a decision system and IoT (internet of things) project
- Building IoT projects with decision systems
Building your own decision system-based IoT
- Step-by-step guide to IoT project development
- Hands-on exercises
Writing the program
- Programming techniques for IoT systems
Testing
- Testing methodologies
- Ensuring system reliability
Enhancement
- Continuous improvement and updates
- Scaling IoT projects

Who Should Attend?

This program suits professionals at many levels across the organization, including:

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

What are the Prerequisites?

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.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual Tableau Advanced Analytics with R Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site Tableau Advanced Analytics with R Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site Tableau Advanced Analytics with R Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"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

Recognition That Motivates Your Team

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.

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.

Dharmessh

Mumbai, India

Trainer since

March 1, 2008

Venkanna

Hyderabad, India

Trainer since

September 1, 2008

Arindam

Kolkata, India

Trainer since

January 1, 2017

Amit

Noida, India

Trainer since

January 1, 2014

Azib

Bengaluru, India

Trainer since

January 1, 2017

Charul

Bengaluru, India

Trainer since

September 1, 2015

Mayank

Bhopal, India

Trainer since

November 1, 2011

Praveen

Indore, India

Trainer since

May 1, 2013

Ramagopal

Thiruvarur, India

Trainer since

January 1, 2017

Shubhi

Noida, India

Trainer since

March 1, 2007

Corporate Tableau Advanced Analytics with R Training Course

Drive Team Excellence with Tableau Advanced Analytics with R Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Advanced Analytic with R And Tableau

The Power of R

Methodology for Advanced Analytics

Prediction with R & Tableau Using Regression

Classifying Data with Tableau

Advanced Analytics Using Clustering

Advanced Analytics with Unsupervised Learning

Implementing Decision Systems and IoT Integration

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

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

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