Online/ e-LMS
Self Paced
Beginners
8 Weeks
1
About
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.
Aim
The aim of this program is to empower participants with the skills and knowledge to leverage Tableau for effective data visualization and business intelligence. The course focuses on transforming raw data into insightful, interactive dashboards and reports that aid in strategic decision-making. By the end of the program, participants will be proficient in using Tableau to analyze and visualize data, facilitating better business insights and enhancing their ability to communicate data-driven findings.
Program Objectives
- Introducing participants to the Tableau platform
- Developing skills in data visualization
- Building advanced skills in Tableau
- Enhancing data analysis skills
- Collaborating with others on Tableau projects
Program Structure
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.
Module 8: Case Studies and Capstone Project
- Industry Case Studies: Exploring real-world applications of Tableau in business.
- Capstone Project: Students develop and present a BI solution using Tableau, applying skills learned throughout the course.
Participant’s Eligibility
The course is suitable for data analysts, business intelligence professionals, managers, and anyone interested in leveraging data for decision-making. Basic familiarity with data handling and business processes is recommended but not mandatory.
Program Outcomes
- Improved understanding of Tableau
- Ability to create data visualizations
- Improved data analysis skills
- Increased confidence in using Tableau
Mentor Profile
Designation: Professor
Affiliation: Datta Meghe Institute of Education and Research (Deemed to be University)
Dr. Chitra Dhawale is a Professor in the Science and TechDeactivatedlogy Department of Datta Meghe Institute of Education and Research (Deemed to be University). She received her Ph.D. Degree in Computer Science from S.G.B.Amravati University in 2009. She is having 25+ years of teaching and research experience in computer science. Her area of Expertise includes: Data Science, Machine Learning, Deep Learning, Python Programming, R Programming, Tableau. She/he is the author of 02 books, 08 book chapters and 78 research papers.
Fee Structure
Standard Fee: INR 10,998 USD 198
Discounted Fee: INR 5499 USD 99
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
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Key Takeaways
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 50 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Job Opportunities
Graduates of the program can pursue various roles, such as:
- Data Analyst
- Business Intelligence Analyst
- Data Visualization Specialist
- Tableau Developer
- Data Consultant These roles are in high demand across diverse industries, providing numerous career growth opportunities.
Companies those are actively recruiting
| Company Name | Location | Industry Focus | Hiring Status |
|---|---|---|---|
| Amazon | |||
| Microsoft | |||
| Deloitte | |||
| Accenture | |||
| Capgemini |
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