Course Includes:
- Price: FREE
- Enrolled: 5923 students
- Language: English
- Certificate: Yes
- Difficulty: Advanced
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Course Folder
What You'll Learn
- Understanding Tableau Interface: Navigating the Tableau Desktop workspace. Connecting to Data Sources: Importing and connecting to various data sources
- includi
- Data Cleansing: Cleaning and preparing data for analysis
- including handling null values and creating calculated fields. Data Blending and Joins: Combining data
- Creating Basic Charts: Building bar charts
- line charts
- pie charts
- and scatter plots. Filtering and Sorting: Applying filters and sorting data to focus on rel
- Advanced Charts: Creating advanced visualizations like histograms
- bullet charts
- and heat maps. Using Sets: Creating and utilizing sets to compare and analyze
- Basic Calculations: Creating calculated fields to perform basic arithmetic operations. Table Calculations: Applying table calculations to analyze data in a tabu
- Creating Maps: Building geographic maps and visualizing spatial data. Custom Geocoding: Importing custom geocoding for advanced map visualizations.
- Designing Dashboards: Creating interactive and visually appealing dashboards. Using Actions: Adding actions to dashboards to enhance interactivity. Telling a St
- Performance Optimization: Techniques for optimizing the performance of Tableau workbooks. Integrating Tableau with Other Tools: Connecting Tableau with other to
Requirements
- Basic Computer Skills: Proficiency in using a computer
- including file management and navigating software interfaces. Fundamental Understanding of Data: A basic understanding of data concepts such as types of data
- basic statistical measures (mean
- median
- etc.)
- and data structures (tables
- rows
- columns). Access to Tableau Desktop Software: Students should have access to Tableau Desktop
- either through a trial version or a licensed copy. This is necessary for hands-on practice and completing exercises. Willingness to Learn: A strong motivation and commitment to learning Tableau Desktop and data visualization concepts. No Prior Tableau Experience Required: While prior experience with Tableau or other data visualization tools is beneficial
- it is not required. The course is designed to start from the basics and gradually build up to more advanced topics.
Description
The Tableau Desktop Certified Associate Exam (DA-104) is designed for individuals who have a comprehensive understanding of Tableau Desktop and want to validate their skills in using Tableau's core features. This certification demonstrates your ability to connect to and prepare data, explore and analyze data, and share insights through dashboards and visualizations.
Course Objectives
By the end of this course, participants will be able to:
Connect to Data Sources:
Understand different data connection options.
Connect Tableau to various types of data sources.
Use joins, unions, and data blending techniques.
Prepare Data:
Clean and shape data for analysis.
Understand data types, hierarchies, and metadata.
Utilize calculated fields and table calculations.
Explore and Analyze Data:
Build basic and advanced visualizations (e.g., bar charts, line charts, scatter plots, maps).
Use filters, groups, and sets to segment data.
Perform complex analyses using parameters, trend lines, and reference lines.
Share Insights:
Create interactive dashboards and stories.
Utilize actions to enhance interactivity.
Understand best practices for sharing and publishing workbooks.
Target Audience
This course is ideal for:
Data analysts and business intelligence professionals.
Individuals preparing for the Tableau Desktop Certified Associate Exam.
Anyone who wants to gain a deeper understanding of Tableau Desktop.
Prerequisites
Basic understanding of data visualization principles.
Familiarity with basic Tableau functionalities is recommended but not required.
Course Outline
Introduction to Tableau:
Overview of Tableau Desktop.
Navigating the Tableau interface.
Connecting to Data:
Connecting to different types of data sources.
Understanding joins, unions, and data blending.
Data Preparation:
Data cleaning and shaping techniques.
Creating and using calculated fields.
Building Visualizations:
Creating basic charts and graphs.
Advanced visualization techniques.
Advanced Analysis:
Using parameters and sets.
Applying table calculations.
Dashboards and Stories:
Designing interactive dashboards.
Creating and sharing stories.
Exam Preparation:
Overview of the Tableau Desktop Certified Associate Exam format.
Sample questions and practice tests.
Certification Exam Details
Format: Multiple choice and hands-on questions.
Duration: 2 hours.
Passing Score: 70% or higher.
Validity: 2 years.
Resources Provided
Course materials and handouts.
Access to practice datasets.
Sample questions and mock exams.
Conclusion
Upon completion of this course, participants will be well-prepared to take the Tableau Desktop Certified Associate Exam (DA-104) and apply their Tableau skills in real-world scenarios. This certification can enhance career opportunities and demonstrate proficiency in data visualization using Tableau.
Who this course is for:
- Aspiring Data Analysts: Individuals looking to start a career in data analytics and visualization. Recent graduates or career changers seeking to enter the data field. Business Professionals: Managers
- executives
- and decision-makers who need to interpret and present data insights effectively. Business analysts and consultants who want to enhance their data visualization skills. IT and Database Professionals: IT professionals
- database administrators
- and developers who want to add data visualization to their skill set. Data engineers looking to expand their expertise in data presentation and dashboard creation. Current Tableau Users: Users who have some experience with Tableau Desktop and want to formalize their skills with a certification. Individuals looking to deepen their understanding and use advanced Tableau features. Students and Educators: Students studying data science
- business intelligence
- or related fields. Educators who teach data visualization and want to incorporate Tableau into their curriculum. Project Managers and Team Leaders: Professionals managing data-driven projects and teams who need to communicate data insights effectively. Leaders looking to leverage data visualization for better decision-making and strategy planning. Anyone Interested in Data Visualization: Enthusiasts and self-learners who have a keen interest in data visualization and want to learn how to use one of the leading tools in the industry.
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