Microsoft Azure Online Training
In this course you will learn about Microsoft Azure in detail and you will learn cloud architecture. Certifications will help you in various aspects to know about cloud platforms. Engineers and students who are looking to get certified in the Microsoft cloud should first look at this course. It has a wealth of features and content for learning, leading to the Microsoft Azure certification.
Provide Separate Lab for Practical Sessions to Learn with the experts.
Azure lets you build, deploy, and scale enterprise-grade applications with powerful open-source tools like Java, PHP, Python, and Ruby. Build, release, then scale all your database engines. Learn Azure in online from the Best of the Best.
This Masters Program makes you proficient in optimizing workloads, managing and implementing virtual networks in Azure and explore IaaS architecture, services, tools, and creating and managing Azure Active Directory using real-life case studies. The curriculum has been designed by Microsoft MVPs & Industry expert to earn Microsoft Azure Administrator Associate (AZ-104) certification.
Tableau Course Syllabus
Course Title: Mastering Tableau: Data Visualization and Analytics
Course Duration: 4 to 6 weeks (depending on schedule)
Module 1: Introduction to Tableau
Overview of Tableau: Understanding what Tableau is and how it fits into the data visualization landscape.
Installing Tableau: Setup and configuration of Tableau Desktop.
Exploring Tableau Interface: Overview of the interface, menus, and features.
Connecting to Data Sources: Importing data from Excel, CSV, SQL databases, and cloud sources (Google Analytics, etc.).
Module 2: Data Connection & Preparation
Connecting to Different Data Sources: How to connect Tableau to multiple data sources and extract data.
Data Blending & Joins: Understanding how to combine and link data from different sources.
Data Transformation: Cleaning and preparing data using Tableau Prep.
Basic Data Types and Fields: Understanding dimensions, measures, and creating calculated fields.
Module 3: Visualizations in Tableau
Creating Basic Visualizations: Building basic charts (bar, line, pie) and understanding when to use each.
Advanced Visualizations: Heatmaps, scatter plots, bullet graphs, tree maps, and geographical mapping.
Using Filters: How to apply filters to refine data and create focused views.
Sorting & Grouping Data: Organizing data for better analysis and presentation.
Module 4: Advanced Data Analysis
Calculated Fields: Creating custom calculations to manipulate data within Tableau.
Table Calculations: Performing row-level calculations, moving averages, and running totals.
Parameters: Creating dynamic parameters to make dashboards interactive and adaptable.
Aggregation & Granularity: Exploring aggregation types and adjusting data granularity.
Module 5: Building Dashboards
Designing Interactive Dashboards: Combining multiple views into a single dashboard to tell a story.
Actions in Dashboards: Using filters, highlight actions, and URL actions to make dashboards interactive.
Best Practices for Dashboards: Ensuring your dashboards are user-friendly and accessible.
Embedding Images and Web Content: Integrating images, videos, and external data sources into your dashboards.
Module 6: Advanced Features in Tableau
Tableau Prep: Overview of Tableau Prep for data transformation and cleaning.
Data Blending & Relationships: Understanding how to work with multiple tables and complex data relationships.
Level of Detail (LOD) Expressions: Using LOD to control the granularity of your data calculations.
Forecasting and Trend Lines: How to add predictive analysis and trends to your visualizations.
Module 7: Sharing & Publishing Dashboards
Publishing to Tableau Server: How to publish dashboards for collaboration and sharing.
Exporting and Printing Dashboards: Saving and exporting dashboards as PDFs, images, or Excel files.
Using Tableau Online: Benefits and differences between Tableau Desktop and Tableau Online.
Security & Permissions: Managing user access and data security when publishing dashboards.
Module 8: Real-World Projects & Case Studies
Case Study 1: Sales Data Analysis – Create interactive dashboards for sales performance tracking.
Case Study 2: Marketing Campaign Performance – Visualize key marketing metrics and ROI.
Case Study 3: Financial Data Analysis – Build complex financial dashboards for decision-makers.
Project Submission: Final project where students apply everything they’ve learned to a real-world data set.
Module 9: Tableau Certification Preparation (Optional)
Exam Overview: Preparing for Tableau’s Desktop Specialist or Certified Professional exam.
Mock Tests: Practice exams and quizzes to test your knowledge.
Exam Tips & Resources: How to approach the certification exam and additional learning materials.
Course Completion:
Upon successful completion of this course, students will have the skills to create professional-level data visualizations, design interactive dashboards, and effectively analyze data using Tableau. Additionally, students will receive a certificate of completion from Sunadh Training.