Building Financial Dashboard in Google Data Studio

How to Build Dynamic Financial Dashboard in Google Data Studio From Scratch
4.43 (317 reviews)
Udemy
platform
English
language
Data & Analytics
category
instructor
Building Financial Dashboard in Google Data Studio
1β€―398
students
1 hour
content
Apr 2021
last update
$19.99
regular price

Why take this course?

πŸš€ Master Building Financial Dashboards with Google Data Studio!

Are you ready to transform your raw data into compelling financial narratives? πŸ’ΌπŸ“Š In this comprehensive online course, Building Financial Dashboard in Google Data Studio, you'll embark on a journey to create interactive and dynamic dashboards from scratch without relying on complex VBA or SQL coding!

Why Take This Course?

  • 🧠 Learn from an expert: Gain insights from Loc Nguyen, a seasoned Financial Business Intelligence Analyst for a Group of more than 10 companies.
  • πŸ› οΈ No Coding Required: It's all about drag and drop functionality – you'll use your mouse more than your keyboard!
  • πŸ“ˆ Create Powerful Interactive Financial Dashboards: Turn your Google Sheets data into engaging visualizations in minutes.
  • πŸ” Analyze with Ease: Discover how to quickly analyze data using powerful visualizations like Time Series Charts, Scorecards, Pie Charts, and Stacked Area Charts.
  • πŸ“† Comparisons & Calculations: Learn to display comparisons against previous periods or years, create Financial Year to Date calculations, and set up interactive filters for seamless navigation within your dashboards.
  • 🀝 Share & Update: Effortlessly share your reports and keep your data up-to-date with just a few clicks.
  • πŸ“– Professional Look & Feel: Create pages navigation to give your reports that polished, professional software touch.
  • πŸŽ‰ Error Fixing Guide: We'll walk you through common errors and how to troubleshoot them.
  • 🌍 Access Anytime, Anywhere: With just a Google Account sign-in, you can access your dashboards from any device at any time!

What You'll Learn:

  • Foundations of Google Data Studio: Get acquainted with the platform and its capabilities.
  • Data Connection: Learn how to connect Google Sheets data to create dynamic dashboards.
  • Visualization Techniques: Master various visualizations and understand when to use them effectively.
  • Advanced Features: Dive into advanced features like page navigation, date range selection, and custom calculations.
  • Real-World Application: Apply your new skills to create a financial dashboard from start to finish.
  • Troubleshooting: Learn common issues and how to solve them for a smooth experience.

Course Structure:

  1. Introduction to Google Data Studio

    • Understanding the interface
    • Setting up your first report
  2. Data Connection & Management

    • Importing data from Google Sheets
    • Organizing and managing your data within Google Data Studio
  3. Creating Impactful Visualizations

    • Time Series Charts
    • Scorecards
    • Pie Charts, Stacked Area Charts, and more!
  4. Advanced Interactive Elements

    • Filters and interactive components
    • Date range selection for dynamic insights
  5. Financial Analysis & Calculations

    • Financial Year to Date calculations
    • Comparisons against historical periods or years
  6. Report Sharing & Maintenance

    • Sharing your reports with colleagues or clients
    • Updating data and maintaining accuracy
  7. Designing Professional Reports

    • Creating navigable pages within a report
    • Designing for a professional, branded look
  8. Troubleshooting & Finalizing Your Dashboard

    • Common errors and fixes
    • Final touches and best practices

By the end of this course, you'll not only have a fully functional financial dashboard but also the skills to build, maintain, and share impactful data reports that will make you a standout in your field. 🌟

Enroll Now to Start Your Journey Towards Data Mastery with Google Data Studio! πŸŽ‰βœ¨

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Related Topics

1560674
udemy ID
19/02/2018
course created date
08/09/2020
course indexed date
RITESH NAYAK
course submited by