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Tableau for Data Science

Grasp the fundamental principles and user interface of Tableau.

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

  1. Harness the capabilities of data visualization through Tableau, a premier business intelligence and analytics tool.

  2. This course focuses on developing interactive dashboards and performing comprehensive data analysis.

  3. Learn to extract actionable insights utilizing Tableau’s robust functionalities.

  4. Suitable for both novices and those aiming to enhance their expertise.

  5. Gain the skills necessary to effectively visualize data for data science purposes.

CERTIFICATION:

  1. Earn a Certified Tableau Data Scientist credential to demonstrate your expertise in using Tableau for advanced data analysis and visualization.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

  1. Grasp the fundamental principles and user interface of Tableau.

  2. Load, sanitize, and modify data for effective analysis and visualization.

  3. Create dynamic dashboards and intricate visualizations to convey findings.

  4. Conduct statistical evaluations and predictive analytics utilizing Tableau’s native features.

  5. Connect Tableau with additional data science tools and systems.

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Course Curriculum

Introduction to Tableau and Data Science
  1. Overview of Data Science and Tableau
    • The role of data visualization in the data science workflow.
    • Importance of Tableau in data analytics.
  2. Getting Started with Tableau
    • Tableau Desktop vs. Tableau Server vs. Tableau Online.
    • Installing Tableau and connecting to data sources.
Tableau Interface and Basics
  1. Exploring the Tableau Interface
    • Workbooks, sheets, and dashboards.
    • Understanding Tableau’s data pane, marks card, and shelves.
  2. Connecting to Data
    • Connecting to various data sources: Excel, CSV, SQL, Google Sheets, etc.
    • Data types and data blending.
  3. Basic Visualization Techniques
    • Creating bar charts, line graphs, pie charts, and histograms.
    • Understanding dimensions and measures.
Data Preparation and Cleaning in Tableau
  1. Data Filtering and Sorting
    • Filtering data by conditions or dimensions.
    • Sorting data by fields, measures, or predefined categories.
  2. Data Transformation and Calculations
    • Creating calculated fields: basic arithmetic, logical, and text calculations.
    • Using table calculations and window functions.
  3. Data Aggregation
    • Grouping and aggregating data to generate insights.
Advanced Visualizations and Analytics
  1. Complex Visualizations
    • Heatmaps, scatter plots, bullet charts, and Gantt charts.
    • Tree maps, filled maps, and geographic visualizations.
  2. Data Trends and Forecasting
    • Trend lines, reference lines, and forecasting.
  3. Parameters and Filters
    • Creating interactive filters and parameter controls for user input.
Building Dashboards
  1. Designing Dashboards
    • Combining multiple visualizations into a cohesive dashboard.
    • Best practices for dashboard design: layout, interactivity, and performance optimization.
  2. Interactive Dashboards
    • Using actions: filter actions, highlight actions, and URL actions.
    • Creating drill-down and drill-through actions.
  3. Storytelling with Data
    • Designing and creating Tableau story points to present data insights.
Advanced Tableau Features
  1. Level of Detail (LOD) Expressions
    • Fixed, include, and exclude LOD expressions to perform complex aggregations.
  2. Blending and Joins
    • Data blending vs. joins: when to use each.
    • Creating relationships between data sources.
  3. Customizing Visualizations
    • Custom formatting: colors, fonts, borders, and axis options.
    • Using annotations and tooltips effectively.
Sharing and Publishing Tableau Reports
  1. Exporting and Sharing Dashboards
    • Exporting visualizations to PDF, images, and PowerPoint.
    • Publishing to Tableau Server or Tableau Public.
  2. Collaborating on Tableau
    • Using Tableau Online and Tableau Server for collaborative analytics.
    • Permissions and user management for shared dashboards.
Applying Tableau to Real-World Data Science Projects
  1. Data Exploration with Tableau
    • Analyzing large datasets and identifying trends, patterns, and outliers.
    • Case Study: Analyzing sales data to forecast future revenue.
  2. Business Intelligence (BI) and Tableau
    • Building executive dashboards for KPIs and performance monitoring.
    • Case Study: Customer segmentation and market basket analysis.
Capstone Project
  1. End-to-End Tableau Project
    • Complete data preparation, exploration, and visualization for a chosen business problem.
    • Create a dashboard that presents key insights and recommendations.
  2. Example: Build an interactive dashboard to monitor and analyze social media performance or financial metrics.

Training Features

Hands-On Learning

Real-world datasets and practical exercises.

Advanced Visualization Techniques

Creating and customizing complex visualizations like heatmaps, scatter plots, and geographic maps.

Business-Centric Insights

Apply data science to business problems such as sales forecasting, customer segmentation, and performance tracking.

Data Transformation and Analysis

Use Tableau’s calculated fields, parameters, and LOD expressions to perform advanced analytics.

Interactive Dashboards

Build dynamic dashboards with filters, actions, and drill-downs for deeper insights.

Certification

A professional certificate validating your Tableau expertise for data science.

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