Tableau Big Data Training
Tableau Big Data Course Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field of Tableau by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
Tableau Big Data Training is suitable for the following target audiences:
Data Analysts: Data analysts want to use Tableau to efficiently handle and display big datasets.
Professionals in business intelligence (BI): Those working on BI projects that wish to combine Tableau with big data platforms for more sophisticated analysis.
Data Scientists: Data scientists must produce comprehensible visualizations to back up large data findings and machine learning algorithms.
IT Professionals: Database administrators, system architects, and IT specialists to manage and visualize large amounts of data in business settings.
Managers and Decision Makers: Managers and executives who wish to understand how to use big data insights for strategic planning and how to read Tableau dashboards.
Tableau Developer: Creating interactive dashboards and integrating Tableau with big data platforms to produce insights that can be used.
Data analyst: This person uses Tableau as the main visualization tool and works with big datasets to produce insightful analyses.
Data Engineer: Ensuring smooth data flow and visualization by integrating Tableau with big data platforms.
Company Intelligence Analyst: Using Tableau, create BI strategies and tools to manage large data and aid company decision-making.
Expert in Big Data Visualization: leveraging visuals to reveal patterns, trends, and forecasts in large datasets.
Data Scientist: Presenting the findings of big data analysis and predictive model outcomes using Tableau.
Big data-savvy Tableau specialists can find employment in the USA and Canada in sectors like technology, banking, healthcare, retail, and government, with competitive pay and room for advancement.
- Installing Tableau Desktop and Interface Tour
- Understanding data visualization principles
- Connecting to basic data sources (Excel, CSV)
- Building simple visualizations (bar, line, pie, tables)
- Using Dimensions vs Measures, Discrete vs Continuous
- Hands On: Create a basic dashboard with sales data
- Filtering, sorting, grouping, and sets
- Creating calculated fields
- Working with Date and Time fields
- Using Tableau Prep for data cleaning and shaping
- Joins vs Blends vs Relationships
- Hands On: Clean and join multiple datasets to create a sales summary
- Dual axis charts, heat maps, scatter plots
- Parameters and interactive controls
- Building dynamic dashboards and using actions (filter, highlight, URL)
- Introduction to storytelling in Tableau
- Hands On: Create an interactive dashboard with filters and actions
- What is Big Data? 5 Vs of Big Data
- Big Data ecosystem: Hadoop, Spark, NoSQL, Cloud Warehouses
- Connecting Tableau to Big Data sources: overview
- Connecting to Google BigQuery / Amazon Redshift
- Hands On: Connect Tableau to Google BigQuery and visualize a large public dataset
- Understanding Live vs Extract connections
- Performance tuning best practices in Tableau
- Using filters, context filters, and data source filters for performance
- Managing large datasets in Tableau
- Hands On: Build an optimized dashboard using BigQuery or Redshift
- Table calculations: running total, rank, percent of total
- LOD (Level of Detail) Expressions (FIXED, INCLUDE, EXCLUDE)
- Forecasting, clustering, and trend lines
- Introduction to R and Python integration with Tableau (optional)
- Hands On: Use LODs and table calcs to analyze customer segmentation
- End-to-end workflow: Data ingestion (BigQuery/Redshift) ,Data cleaning and transformation, Performance optimization
- Review of Tableau Public for sharing results
- Hands On: Build a real-world business intelligence dashboard using big data
- Capstone project kickoff (choose from business domains: finance, marketing, healthcare, logistics)
- Presentation of capstone Project
- Tips for Tableau Desktop Specialist/Certified Associate Exam
Note: Curriculum will be modified as per latest industry standards.
This course is ideal for data analysts, business intelligence professionals, and students who want to gain hands-on experience with Tableau and understand how to work with Big Data platforms like Google BigQuery, Amazon Redshift, or Hadoop.
Basic familiarity with data concepts (e.g., Excel, databases) is recommended. No prior Tableau or Big Data experience is required; the course covers basic concerts and gradually builds up.
You’ll need Tableau Desktop (free trial or licensed version), Tableau Prep (optional), and access to Big Data platforms like Google BigQuery (free tier is available), Amazon Redshift (if applicable), or sample datasets.
Yes, the course includes practical labs using BigQuery and/or Redshift. You’ll learn how to connect Tableau to large datasets, manage performance, and create real-time dashboards.
You’ll work on several mini-projects or assignments which includes cleaning large datasets, creating interactive dashboards and a final capstone project using Big Data from real-world domains like finance, marketing, or healthcare.
A certificate of completion will be provided. You’ll also get preparation support for Tableau’s official certifications, such as the Tableau Desktop Specialist or Data Analyst exam.
Plan to spend around 4 hours per week, including class sessions, hands-on exercises and project work.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
https://checkmateittech.com/
Email info@checkmateittech.com OR Call Us +1-347-4082054
You’ll use both sample and real-world datasets from sources like Kaggle, Google BigQuery public data, and custom CSV files covering sales, customer behavior, logistics, and more.
Yes, the course includes specific sessions on performance tuning, working with extracts vs live connections, and best practices for handling millions of rows efficiently in Tableau.
We currently offer online sessions with flexible weekday/weekend batches. All sessions are recorded. You’ll have access to the recordings, along with support from instructors and peers in our learning portal.
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Job opportunities in USA and Canada
Tableau Developer: Creating interactive dashboards and integrating Tableau with big data platforms to produce insights that can be used.
Data analyst: This person uses Tableau as the main visualization tool and works with big datasets to produce insightful analyses.
Data Engineer: Ensuring smooth data flow and visualization by integrating Tableau with big data platforms.
Company Intelligence Analyst: Using Tableau, create BI strategies and tools to manage large data and aid company decision-making.
Expert in Big Data Visualization: leveraging visuals to reveal patterns, trends, and forecasts in large datasets.
Data Scientist: Presenting the findings of big data analysis and predictive model outcomes using Tableau.
Big data-savvy Tableau specialists can find employment in the USA and Canada in sectors like technology, banking, healthcare, retail, and government, with competitive pay and room for advancement.
