Data Analytics | Basic to Advance Level
in Data Science , Data Analytics and Big DataWhat you will learn?
Understanding Tableau workspace and its features
Understanding the role of data analytics in business
Basic Visualizations with practical application
Advanced Visualizations & Dashboards
About this course
Course Name: Data Analytics with Tableau
Course Overview:
Tableau is a data visualization and business intelligence tool that enables users to connect, visualize and share data in a highly interactive and intuitive way. It allows users to quickly analyze and explore large and complex datasets using a drag-and-drop interface without requiring coding or programming skills.
Tableau can connect to various data sources, including databases, spreadsheets, big data platforms, and cloud services. It also allows users to perform data cleaning and transformation tasks, create custom calculations, and generate insights using advanced analytics features.
Through this course, you will learn a suite of products, including Tableau Desktop for creating and publishing visualizations, Tableau Server for sharing and collaborating on data and visualizations across an organization, and Tableau Prep for preparing and cleaning data before analysis.
Course Curriculum:
1. Introduction to Data Analytics & Tableau
-Understanding the role of data analytics in business.
-Overview of Tableau and its interface.
2. Tableau Desktop
-Connecting to various data sources.
-Tableau workspace and its features
3. Basic Visualizations with practical application
-Creating charts and Graphs
-Analytics Pane
-Applying filters, parameters, groups and hierarchy.
4. Data Connection
-Prepare Data through Combining, Joining, Blending and Union
-Data Filtering, Extract Data and Manage Data Sources
-Connect to Custom SQL in Tableau to create Data sources
-Web data connectors in Tableau
5. Advanced Visualizations & Dashboards
-Building interactive dashboards and stories.
-Advanced chart types and customizations.
6. Data Analysis & Calculations
-Calculated fields, table calculations, and level of detail (LOD) expressions.
7. Geospatial Analytics
-Mapping and geographic visualizations in Tableau.
8. Integration & Sharing
-Tableau Server and Tableau Online for sharing and collaboration.
9. Capstone Project
-Real-world project to apply all concepts and create a professional dashboard.
What You Will Learn
• How to connect and manipulate various datasets in Tableau.
• Techniques for creating visually impactful dashboards and reports.
• Advanced visualization techniques to uncover actionable insights.
• How to use geospatial analytics and mapping for location-based insights.
• Tips for sharing and collaborating on Tableau dashboards.
Learning Objectives
• Gain proficiency in Tableau's data visualization capabilities.
• Develop analytical thinking by creating compelling dashboards.
• Solve real-world business problems using data-driven decision-making.
• Become a confident Tableau practitioner, ready for industry challenges.
Course Features & Benefits
• Hands-on exercises with real-world datasets to build practical skills.
• Access to downloadable resources and templates for Tableau projects.
• Expert-led instruction with tips and tricks from industry professionals.
• Quizzes, assignments, and a capstone project to test and apply your knowledge.
• Certificate of Completion to showcase your skills to employers.
Unique Value Proposition (UVP):
• This course bridges the gap between theoretical learning and practical application with real-world projects, preparing you for career opportunities in data analytics.
Who This Course is For
• Beginners aspiring to start a career in data analytics or business intelligence.
• Data professionals looking to enhance their visualization and analytics skills.
• Business professionals seeking to make data-driven decisions.
• Students and graduates eager to gain industry-relevant analytics expertise.
Skills Covered
• Data preparation and cleansing.
• Data visualization and storytelling.
• Dashboard creation and interactivity.
• Advanced calculations and geospatial analytics.
• Sharing and publishing Tableau projects.
Prerequisites
• Basic understanding of data concepts is helpful but not mandatory.
• Familiarity with spreadsheets (SQL or Google Sheets) is a plus.
• No prior experience with Tableau or coding required.
Special Benefits to Students for Enrolling Now
• Early Enrollment Bonus: Access to bonus content on advanced Tableau techniques.
• Lifetime Access: Course materials and updates for a lifetime.
• Job Readiness Support: Resume templates, portfolio guidance, and interview tips for data analytics roles.
• Exclusive Community: Join a peer group of Tableau learners for networking and sharing ideas.
• Certification: Receive an industry-recognized certificate to boost your career prospects.
Course Level: Beginner to Advanced
Suggested by top companies
Top companies suggest this course to their employees and staff.
Requirements
Good internet connectivity with device
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Comments (1)
nice course .. must enroll