Google Data (Looker) Studio for Data Visualization

Learn how to prepare meaningful, dynamic, and actionable data-driven reports with Google Data Studio
4.46 (82 reviews)
Udemy
platform
English
language
Data & Analytics
category
Google Data (Looker) Studio for Data Visualization
417
students
6.5 hours
content
Apr 2025
last update
$54.99
regular price

Why take this course?


Course Headline: 🚀 Master Data Visualization with Google Data Studio - A Comprehensive Guide by Expert Rudranil Chakrabortty 📊

Course Title: Google Data (Looker) Studio for Data Visualization

Course Description:

Why You Should Take This Course:

  • Quick Decision Making: With just a glance, consume and process all the essential metrics of your business and be ready to make informed decisions with confidence.
  • Dynamic Learning Experience: From basic charts like scorecards and bar graphs to advanced visualizations such as bubble charts and geo maps, you'll master the entire spectrum of data representation.
  • Versatile Data Sources: Learn to work with a variety of data sources, including Google Sheets for straightforward analysis and complex datasets from Google Analytics.
  • Data Manipulation Techniques: Gain proficiency in manipulating data using averages, max-min values, text trimming, and logic functions to tailor your visualizations for actionable insights.
  • Expert Guidance: Rudranil Chakrabortty, with over 13 years of experience in data analysis and decision-making, will guide you through every step of the process.
  • Lifetime Access: Get lifetime access to hours of content, including regular updates to keep you ahead of the curve.
  • Risk-Free Learning: Enjoy an enormous discount and a 30-day refund offer if you're not satisfied with the course.

What You Will Learn:

  • Creating and designing a wide range of charts: Scorecards, Time Series, Line Charts, Bubble Charts, Geo Charts, Pies, Donuts, Bar Charts, Funnel Charts, Scatter Plots, and Pivot Tables.
  • Working with both simple data sources like Google Sheets and complex ones like Google Analytics.
  • Advanced data manipulation techniques to enhance your visualizations.

Course Features:

  • Interactive Content: Engage with interactive elements that solidify your understanding of data visualization.
  • Real-World Data: Analyze a compelling dataset that will keep you motivated and curious throughout the course.
  • Step-by-Step Guidance: Beginner-friendly approach, ensuring even novices can follow along and learn effectively.
  • Responsive Instructor Support: Have questions? Rudranil ensures a timely response to your inquiries, typically within 5-6 hours.

Testimonials:

  • "This course is a very good one, Reasons: Rudranil sir's experience is amazing. Practical projects are used throughout the course. He guides step by step even for beginners." - Abhinav 🌟
  • "The course is clear, concise, and has a good learning framework." - Lucia Onofri 📚
  • "Rudranil knows his subject matter well and is passionate about sharing it with others. Simple explanations make it easy to understand." - Antony Cyriac 🚀
  • "The detailed explanations and hands-on examples are a big plus. Thanks for the course, Rudranil!" - Mike Laar 🤝
  • "Rudranil is an amazing teacher with world-class teaching skills. Looking forward to doing another course under his tutelage." - Juan Miguel Garcia Davila 🎓

Join me, Rudranil Chakrabortty, on this insightful journey into the world of data visualization with Google Data Studio. Enroll now and transform your approach to data analysis! 🌐✨


Course Gallery

Google Data (Looker) Studio for Data Visualization – Screenshot 1
Screenshot 1Google Data (Looker) Studio for Data Visualization
Google Data (Looker) Studio for Data Visualization – Screenshot 2
Screenshot 2Google Data (Looker) Studio for Data Visualization
Google Data (Looker) Studio for Data Visualization – Screenshot 3
Screenshot 3Google Data (Looker) Studio for Data Visualization
Google Data (Looker) Studio for Data Visualization – Screenshot 4
Screenshot 4Google Data (Looker) Studio for Data Visualization

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4901758
udemy ID
27/09/2022
course created date
30/09/2022
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