Attribute

Detail

Format

Online (e-LMS)

Level

Intermediate

Duration

8 Weeks

Certification

e-Certification + e-Marksheet

Tools

R, RStudio, Tableau

About the Tableau For Business Intelligence Course

The Program offered by NanoSchool is designed to equip participants with advanced skills in data visualization and analysis using Tableau. The program covers essential topics such as creating interactive dashboards, integrating data from multiple sources, and utilizing Tableau for business intelligence to drive data-informed decisions.

It is led by Dr. Chitra Dhawale, who brings extensive expertise in the field. The course offers a blend of theoretical knowledge and practical application, ensuring that participants can effectively use Tableau in real-world scenarios.

Program Highlights

• Comprehensive coverage of Tableau for Business Intelligence from fundamentals to advanced applications

• Hands-on projects and real-world case studies in Science & Technology

• Expert-curated curriculum aligned with current industry standards

• Access to recorded lectures and e-LMS platform for flexible, self-paced learning

• e-Certification and e-Marksheet upon successful completion

• Dedicated mentor support and interactive doubt-clearing sessions

• Exposure to industry-standard tools and platforms used in Science & Technology

• Career-oriented training for academic and professional growth in Science & Technology

Course Curriculum

Module 1: Introduction to Tableau and Data Visualization Basics

Getting Started with Tableau : Installing and navigating the Tableau interface, understanding Tableau’s capabilities.
Introduction to Data Visualization : Principles of effective data visualization, types of charts and when to use them.
Connecting to Data Sources : Importing data from various sources like Excel, CSV, and databases.

Module 2: Data Preparation and Cleaning in Tableau

Data Connection and Preparation : Handling data sources, joining, blending, and pivoting data.
Data Cleansing Techniques : Filtering, renaming, and working with metadata for clean, usable data.
Basic Calculations and Data Aggregation : Applying simple calculations and aggregations, understanding calculated fields.

Module 3: Building Basic Visualizations

Core Chart Types in Tableau : Creating bar charts, line charts, scatter plots, and heat maps.
Tables, Cross Tabs, and Text Visuals : Displaying data in tables, using crosstabs for analysis.
Enhancing Visuals with Labels and Tooltips : Adding contextual information to visualizations for clarity.

Module 4: Advanced Visualizations and Customization

Advanced Chart Types : Funnel charts, Pareto charts, bullet graphs, and waterfall charts.
Geographic Mapping : Creating maps, customizing geographic data, and using maps in BI contexts.
Using Parameters and Control Elements : Dynamic filtering, input controls, and parameter-driven visualizations.

Module 5: Interactive Dashboards and Storytelling

Dashboard Design and Layout : Principles of dashboard layout, adding interactive elements.
Dashboard Actions : Using filters, highlight actions, and URL actions for interactivity.
Storytelling with Data : Creating a story with Tableau, navigating through steps and enhancing narrative flow.

Module 6: Data Analysis and Calculations in Tableau

Advanced Calculations : Using calculated fields, date functions, and logic statements.
Table Calculations and Level of Detail (LOD) Expressions : Applying table calculations, creating LOD expressions for deeper analysis.
Trend Lines, Forecasting, and Statistical Analysis : Adding trend lines, forecasting future values, and interpreting statistical summaries.

Module 7: Performance Optimization and Best Practices

Data Optimization Techniques : Managing large datasets, using extracts, and optimizing data connections.
Dashboard Performance Optimization : Improving load times and performance with best practices.
Publishing and Sharing : Publishing dashboards to Tableau Public and Tableau Server, best practices for sharing.

Tools, Techniques, or Platforms Covered

R
RStudio
Tableau

Real-World Applications

Apply Tableau for Business Intelligence skills directly to academic research, thesis work, and publications
Build a professional portfolio showcasing practical Science & Technology competencies
Solve industry-relevant problems using Tableau for Business Intelligence methodologies and tools
Contribute to open-source projects and collaborative research in Science & Technology
Prepare for competitive examinations, interviews, and professional certifications in Science & Technology

Who Should Attend & Prerequisites

Students pursuing degrees in Science & Technology, science, engineering, or related disciplines
Working professionals seeking to upskill or transition into Science & Technology roles
Researchers and academicians looking to adopt modern techniques in Science & Technology
Entrepreneurs, freelancers, and self-learners interested in practical Science & Technology knowledge

Prerequisites: Some familiarity with basic concepts in Science & Technology will be helpful but is not mandatory. A willingness to learn and engage with hands-on exercises is essential.

Frequently Asked Questions

1. What is the format of this Tableau for Business Intelligence course?

This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

2. Will I receive a certificate after completing this course?

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.

3. What are the prerequisites for this course?

Learners should have a foundational understanding of Science & Technology concepts. Familiarity with basic tools and programming is recommended.

4. How long will I have access to the course materials?

You will have access to all course materials for the duration of 8 Weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

5. Is mentor support available during the course?

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Science & Technology. Our mentors are industry experts and experienced professionals.

Enroll in Tableau for Business Intelligence today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Science & Technology skills that matter.

Brand	NSTC
Format	Online (e-LMS)
Duration	8 Weeks
Level	Intermediate
Domain
Hands-On	Yes – Practical projects with industrial datasets
Tools Used

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Tableau for Business Intelligence