FOR BEGINNERS AND EXPERIENCED LEARNERS
Tableau Training Program
Master Tableau with our intensive training, transform data into actionable insights and become a key player in data analytics
3.7
1.7K+ Learners enrolled
100+
Hours of lectures
2
Projects
Advanced
Self Paced
Real World Projects
3 Certifications
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Tableau Training Program
Ideal for: Individuals focused on mastering Tableau and become a key player in data analytics
Recorded Videos
Life Time - LMS - Access
Additional perks
3 Certifications
Course Curriculum
Introduction to Data Visualization with TableauModule 15 Hours Projects
Introduction to Data Visualization with Tableau
Module 1
5 Hours
Projects
What you’ll learn
- Introduction to Tableau: Understand the basics of Tableau, its importance, and how it can be used to create powerful data visualizations and insights.
- Navigating Tableau's User Interface: Get familiar with Tableau's interface, including toolbars, shelves, data pane, and workspace.
- Tableau Features and Functionalities: Explore key features such as dashboards, stories, and data connections.
- Comparing Tableau with Power BI: Learn the strengths and weaknesses of Tableau and Power BI, focusing on their unique features and use cases.
Fundamental Skills for Tableau MasteryModule 210 Hours Projects
Fundamental Skills for Tableau Mastery
Module 2
10 Hours
Projects
What you’ll learn
- Connecting Tableau to Data Files: Learn how to connect Tableau to CSV files and other common data sources.
- Navigating Tableau: Get comfortable with Tableau's interface, including its workspace and data pane.
- Creating Calculated Fields: Understand how to create calculated fields to perform custom calculations on your data.
- Enhancing Visuals with Colors and Labels: Learn to add colors and labels to your visualizations to make them more informative and visually appealing.
- Formatting Your Visualizations: Explore different formatting options to enhance the presentation of your data.
- Exporting Worksheets: Understand how to export your worksheets in various formats for sharing and presentation.
Time Series, Aggregations & FilterModule 320 Hours Projects
Time Series, Aggregations & Filter
Module 3
20 Hours
Projects
What you’ll learn
- Working with Data Extracts: Learn how to create and use data extracts to improve performance and manage large datasets.
- Analyzing Time Series Data: Understand techniques for analyzing time series data, including trends and seasonal patterns.
- Understanding Aggregation and Granularity: Dive into concepts of aggregation, granularity, and level of detail to refine your analysis.
- Creating Area Charts: Learn how to create and highlight area charts to visualize time series and other continuous data.
- Adding and Using Filters: Master the use of filters to refine and interactively explore your data.
- Creating Quick Filters: Learn to create quick filters for dynamic data exploration and interactive dashboards.
Maps, Scatterplot & Your First DashboardModule 420 Hours Projects
Maps, Scatterplot & Your First Dashboard
Module 4
20 Hours
Projects
What you’ll learn
- Understanding Relationships vs Joins: Learn the differences between relationships and joins in Tableau and when to use each.
- Joining Data in Tableau: Explore how to join data from multiple sources to create comprehensive visualizations.
- Creating and Enhancing Maps: Understand how to create maps and work with geographical data in Tableau.
- Working with Hierarchies: Learn to create and use hierarchies to drill down into your data.
- Creating Scatter Plots: Master the creation of scatter plots to analyze relationships between variables.
- Creating Interactive Dashboards: Learn to create dashboards that combine multiple visualizations for comprehensive data analysis.
- Adding Interactive Actions: Explore how to add actions like filters and highlights to make your dashboards interactive.
Joining, Blending & RelationshipsModule 520 Hours Projects
Joining, Blending & Relationships
Module 5
20 Hours
Projects
What you’ll learn
- Understanding Joins: Learn how LEFT, RIGHT, INNER, and OUTER Joins work in Tableau.
- Joining Data on Multiple Fields: Understand how to join data on multiple fields to create more complex visualizations.
- Data Blending vs Joining: Explore the differences between data blending and joining in Tableau and when to use each.
- Creating Dual Axis Charts: Learn to create dual-axis charts to visualize multiple measures in a single view.
- Advanced Calculated Fields: Master the creation of calculated fields in blended data sources for more detailed analysis.
- Blending Data in Tableau: Practice blending data from different sources to enhance your visualizations.
Table Calculations, Advanced Dashboarding & StorytellingModule 620 Hours Projects
Table Calculations, Advanced Dashboarding & Storytelling
Module 6
20 Hours
Projects
What you’ll learn
- Connecting to Datasets: Learn how to download and connect datasets to Tableau.
- Mapping Geographical Data: Understand how to set geographical roles and create maps.
- Creating Table Calculations: Master table calculations for detailed analysis.
- Creating Bins and Distributions: Learn to create bins and distributions for segmenting data.
- Leveraging Parameters: Use parameters to add interactivity and flexibility to your visualizations.
- Creating Tree Maps: Understand how to create tree maps for hierarchical data.
- Advanced Dashboard Interactivity: Enhance your dashboards with advanced interactivity.
- Analyzing Dashboards: Learn to analyze and interpret data from dashboards.
- Analyzing Dashboards: Learn to analyze and interpret data from dashboards.
- Creating Storylines: Master the art of storytelling with data using Tableau's story features.
Advanced Data PreparationModule 720 Hours Projects
Advanced Data Preparation
Module 7
20 Hours
Projects
What you’ll learn
- Optimal Data Formats: Learn what formats your data should be in for the best results in Tableau.
- Using Data Interpreter: Understand how to use Data Interpreter to clean and prepare messy data.
- Pivoting Data: Learn to pivot data to change its structure and make it more suitable for analysis.
- Splitting Columns: Master the techniques of splitting columns into multiple fields for detailed analysis.
- Metadata Management: Explore the Metadata Grid and learn to manage your data's metadata.
- Fixing Geographical Errors: Understand how to fix common geographical data errors to ensure accurate mapping.
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Projects
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Our Mentors
Ashish Modi
Co-Founder & Instructor
Teaches
DSA
Shaurya Sinha
Co-Founder & Instructor
Teaches
Web Development
Kevin Shah
Data Scientist
Teaches
Data Science
Rahul Harlalka
Senior Analyst
Teaches
Data Science
Sahil Rahman
Data Science Instructor | Software Engineer
Teaches
Data Science
Kartik Gupta
SDE | Mentor
Teaches
Web Development
Rohan Kinnal
SDE | Mentor
Teaches
Web Development
Harsh Akshit
Cloud & Security Evangelist
Teaches
Cyber Security
Aditya Gusain
Software Developer | Mentor
Teaches
Full Stack Web Development
Samarth Singh
Instructor
Teaches
DSA
Khusboo Tayal
Data Science Analyst
Teaches
Data Sceince
Kunika Malhotra
Software Engineer
Teaches
MERN Stack
Nikhil Bartwal
Data Scientist
Teaches
Data Science
Anshika Gupta
Instructor
Teaches
Web Development
Aradhana Kund
Instructor | Developer
Teaches
Web Development
Frequently asked questions
Will I have access to the course material after completing it
Yes, you will have lifetime access to the course material, allowing you to revisit it whenever needed to reinforce your learning.
What if I struggle to keep up with the course content?
We understand that everyone learns at their own pace. Our pre-recorded course allow you to learn at your convenience without the pressure of keeping up with live classes. If you require additional assistance or guidance, you can reach out to our mentors, who are dedicated to supporting you throughout your learning journey.