Data Analytics Basics

Categories: Data Analytics
Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

Visualization Basics with Tableau

Learning how to create clear, effective visualizations is the first step in understanding data. This course introduces you to the fundamentals of data visualization, while using Tableau Desktop as a hands-on tool to bring concepts to life.

You’ll not only learn the Tableau interface, but also the principles of good visualization design—how to tell stories with data, choose the right chart, and make your visuals meaningful and easy to interpret.


What You’ll Learn

  • Introduction to Visualization – Why visuals matter in data analysis.

  • Principles of Good Design – Choosing the right chart for the right data.

  • Working with Data – Connecting, importing, and preparing datasets.

  • Dimensions & Measures – Understanding how Tableau handles data.

  • Visualization Types – Bar charts, line charts, scatter plots, maps, and more.

  • Marks & Filters – Highlighting what’s important in your data.

  • Interactivity – Adding filters and actions for exploration.

  • Dashboards – Bringing multiple visualizations together into a single story.

  • Formatting & Customization – Making visuals clear, consistent, and professional.

  • Sharing Insights – Publishing and presenting your visualizations.


Why Take This Course?

Learn Visualization Fundamentals – Go beyond software skills; understand why certain visuals work better than others.
Hands-On with Tableau – Apply visualization principles on a leading industry tool.
Practical Skills for Data Analysis – Explore data, uncover insights, and communicate findings effectively.
Interactive Dashboards – Build visuals that people can explore, not just view.
Career-Ready Skills – Visualization is a core part of analytics, business intelligence, and decision-making roles.
Foundation for Advanced Learning – Sets you up for deeper Tableau features, advanced analytics, and data storytelling.

Show More

What Will You Learn?

  • Tableau Desktop UI components
  • Data Connection and Import
  • Dimensions and Measures
  • Marks and Filters
  • Visualization Types
  • Calculations and Expressions
  • Dashboard Interactivity
  • Publishing and Sharing
  • Formatting and Customization
  • Tableau Community and Resources

Course Content

Introduction to Data Analysis

  • Things to know about data analytics
    00:00
  • Importance of Data Analysts
    00:00
  • Day to Day activities for a data anlayst
    00:00
  • Why Tableau
    01:29

Setting up Resources

Tableau Desktop UI Components
Introduction of UI components, workspace and their functions

Data Connection and import
Data connection and import are foundational steps in utilizing Tableau for data analysis and visualization. Tableau empowers users to seamlessly connect to various data sources, transforming raw information into insightful visualizations

Data Source Tab for Exploration and Preparation
The Data Source tab in Tableau offers a comprehensive workspace for exploring, cleaning, and preparing data before visualization. Users can join tables, filter data, and create calculated fields to shape the dataset.

Data Blending
In scenarios where data is spread across multiple sources, Tableau's data blending feature enables the combination of data from different connections into a single visualization seamlessly.

Dimensions and Measures
Dimensions: Categorical data, often used for grouping and categorization. Measures: Quantitative data, representing numerical values for analysis.

Marks and Filters
Marks: Represent the individual data points in a visualization. Filters: Allow you to include or exclude specific data from your visualizations.

Visualisation Types

Mid course Excecise

Calculations and Expressions
Custom calculations created within Tableau using formulas

Home Work _1

Dashboard Interactivity
Parameters: User-defined inputs that can be used to modify the view dynamically. Actions: Interactions that link different sheets or dashboards.

Publishing and Sharing
Tableau Server and Tableau Online: Platforms for sharing and collaborating on Tableau content. Packaged Workbooks: Portable files containing both data and visualization.

Tableau Files and Folders

Formatting and Customization
Formatting Options: Customize the appearance of your visualizations

Tableau Community and Resources

Homework

Core of Data Analytics – Summary

Student Ratings & Reviews

No Review Yet
No Review Yet