Tableau 10 and Tableau 9.3 Desktop, Server & Data Science

Overview

Learn the science & art behind creating powerful reports, dashboards to solve amazing & difficult business problems What you'll learn:

Learn about data visualisation principles & importance of Tableau in present worldLearn about Tableau Architecture & the top charts used in TableauLearn about the statistical concepts pivotal for success in Tableau professionLearn about building prediction models & forecasting models in TableauLearn about Tableau calculated fields & advanced reporting conceptsLearn in-depth concepts of K-Means clustering & Text Mining & how to accomplish the same in TableauLearn about various Tableau Server concepts including security settings, automatic reporting, etc. This course is about learning Business Intelligence &Analytical tool called Tableau, which has been in leaders position since 4 yearsBusiness Intelligence, Analytics, Data Visualisation, Tableau desktop, Tableau server, Tableau & Hadoop, Tableau &R, are the common terminologies used to find this courseWe have included course content in form of powerpoint presentation, datasets used for visualisation, 2 live casestudy projectsfor download, interview questions, sample resumes/profiles for job seekersThis course is extremely exhaustive &hence will last for more than 25hoursCourse is structured to start with introduction to the tool & the principles behind data visualisation.

From there Tableau desktop is explained thoroughly including analytical conceptsbehind applicable visualisation. Finally course ends with explanation on Tableau server & the final 2 use cases as projects along with interview questions for job seekersJobs are abundant for Tableau & salaries are very promising & highest in this domain.

Also this course is very exhaustive which includes Statistics, Forecasting, Regression models, K-means Clustering, Text Mining, Hadoop & Rrequired for Tableau. Also included are Tableau Desktop &Server concepts in one course.

Syllabus

• Introduction to Data Visualization
Importance of data visualization
Principles of effective data visualization
Overview of Tableau and its impact in the industry
• Tableau Architecture
Overview and components of Tableau Desktop
Key differences between Tableau 9.3 and Tableau 10
• Basic Tableau Features
Tableau interface exploration
Connecting to data sources
Creating basic charts and graphs
• Advanced Visualization Techniques
Top chart types in Tableau
Creating complex dashboards and stories
Incorporating interactivity in reports
• Statistical Concepts in Tableau
Introduction to statistical concepts and their application in Tableau
Building prediction and regression models
Creating forecasting models
• Advanced Reporting Techniques
Working with calculated fields
In-depth use of Tableau functions
• Data Science in Tableau
K-Means clustering in Tableau
Introduction to Text Mining within Tableau
Integration with R and Hadoop for enhanced analytics
• Tableau Server
Overview of Tableau Server architecture
Managing and configuring security settings
Setting up automatic reporting and alerts
• Applications and Case Studies
Real-world business case studies
Hands-on projects simulating complex business scenarios
• Professional Preparation
Common terminologies and their relevance
Interview preparation with sample questions
Drafting Tableau-centric resumes and profiles
• Conclusion and Further Learning
Summary of key takeaways
Paths for continued learning and skill enhancement in Tableau
• Supplemental Materials
PowerPoint presentations and datasets
Downloadable case study projects

Taught by

ExcelR Solutions

Subjects

Data Science