Google Data (Looker) Studio for Data Visualization

Google Data (Looker) Studio for Data Visualization, available at $54.99, has an average rating of 4.65, with 65 lectures, based on 72 reviews, and has 373 subscribers.

You will learn about Learn Data Visualization Basics with Google Data Studio Learn the techniques to draw 25+ chart techniques with Google Data Studio Master techniques to customize the base data for creating charts Learn the thoughts behind creating meaningful reports This course is ideal for individuals who are Data Visualization Beginners or Google Data Studio Beginners or Digital Marketers or Analysts It is particularly useful for Data Visualization Beginners or Google Data Studio Beginners or Digital Marketers or Analysts.

Enroll now: Google Data (Looker) Studio for Data Visualization

Summary

Title: Google Data (Looker) Studio for Data Visualization

Price: $54.99

Average Rating: 4.65

Number of Lectures: 65

Number of Published Lectures: 65

Number of Curriculum Items: 65

Number of Published Curriculum Objects: 65

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Data Visualization Basics with Google Data Studio
Learn the techniques to draw 25+ chart techniques with Google Data Studio
Master techniques to customize the base data for creating charts
Learn the thoughts behind creating meaningful reports

Who Should Attend

Data Visualization Beginners
Google Data Studio Beginners
Digital Marketers
Analysts

Target Audiences

Data Visualization Beginners
Google Data Studio Beginners
Digital Marketers
Analysts

The power of the Google Data Studio reports is that in one quick glance you can consume and process all the essential metrics of your business and you are ready to take decisions with confidence. This is your chance to master an important business presentation tool, that too, in a few hours. Still not sure? Give me another 60 seconds of your time.

In this course, we will jump on to a fun and effective way of exploring Google Data Studio. Using GDS, we will analyze and explore interesting facts about the top 1000 movies from around the world, as rated by viewers. How’s that?

While we do so, we will learn how to create, design, and organize charts such as scorecards, time series, line charts, bubble charts, geo charts, pies, donuts, bar charts, funnel charts, scatter plots, and pivot tables. regular tables and more.

We will learn how to work with simple data sources such as google sheets, and complex data sources such as Google Analytics.

Advanced concepts such as using averages, max-min values, trimming text, and logic functions to manipulate data are covered in this course.

I am Rudranil, as a marketing professional, I have spent more than 13 years in analyzing and taking actions based on data. You get lifetime access, hours of content, an enormous discount, and a 30 days refund offer.

See you in the course.

Reviews on my course:

I must say that the this a very good course Reasons:- 1) Rudranil sir experience is amazing. Practical projects are used throughout the course. 2) He guides step by step on how to do things even if you are a beginner. 3) Ask any question and he will replay within 5-6 hours, with a detailed solution. Just go for this course. I loved it and learning a lot.

– Abhinav

Clear, concise and good learning framework so far.

– Lucia Onofri

Simple explanations, course instructor knows his subject matter well and is passionate about sharing it with others

– Antony Cyriac

Detailed explanations, hands on examples. Thanks a lot for putting this course together.

– Mike Laar

This guy is amazing, really a worldclass teacher, very interesting, looking foward to do another course under his tutelage.

– Juan Miguel Garcia Davila

Course Curriculum

Chapter 1: Getting Started with the Basics

Lecture 1: Introduction to Data Studio

Lecture 2: Data Studio to Looker Studio – Brand Changed

Lecture 3: Quick Overview of Data Studio

Lecture 4: Data Sources in Data Studio

Lecture 5: Create the First Chart in Data Studio

Lecture 6: More on Scorecards

Lecture 7: More on Scorecards – II

Lecture 8: Column or Bar Chart with Sorting Techniques

Lecture 9: Resizing the Reports

Lecture 10: Tabular Charts in Data Studio

Lecture 11: Using Treemaps

Lecture 12: How to Use Scatter Plot

Lecture 13: Bubble Charts

Lecture 14: Combo Charts & Calculated Fields

Lecture 15: Line Charts

Chapter 2: How Data Studio Works

Lecture 1: How Data Studio Works, Metrics, and Dimensions

Lecture 2: Multiple Data Sources and Geo Charts

Lecture 3: Metrics and Dimensions – Concepts

Lecture 4: Calculated Fields – Concept

Lecture 5: Understanding Calculated Fields Better

Chapter 3: Manipulating Data in Data Studio – Calculated Fields Mastery

Lecture 1: Using Arithmetic Operators in Calculated Fields

Lecture 2: Introduction to Calculated Field Functions

Lecture 3: Examples: MAX, NARY_MAX Functions and Modifying Charts Dynamically

Lecture 4: Conditional in Calculated Fields Functions Concepts

Lecture 5: Conditional Operators and How it Works

Lecture 6: Application of Conditional Functions, Pie Charts, and String Literals

Lecture 7: Nested If Statements – Nested Conditional Functions

Lecture 8: AND-OR Operators – Concepts

Lecture 9: Complete Implementation of Nested IF

Lecture 10: CASE Conditional Function

Lecture 11: Application: Bullet Charts and Calculated Fields

Lecture 12: Pivot Tables, Text Functions, Concatenation – I

Lecture 13: Pivot Tables, Text Functions, Concatenation – II

Lecture 14: Substring and Other Text Functions

Lecture 15: Global Calculated Fields

Chapter 4: Organize and Design Reports

Lecture 1: Organizing Charts by Pages

Lecture 2: Inter-chart and Intra-chart Alignment

Lecture 3: Inter-Chart Alignment and Organizing Charts Better

Lecture 4: Labeling the Charts and Order of Components in Reports

Lecture 5: Working with Themes

Lecture 6: Quick Tips – Grouping, Ungrouping, and Selections

Lecture 7: Assignment for You

Chapter 5: Set up User Controls and Filters

Lecture 1: Working with Controls – Drop down List

Lecture 2: Fixed Size List

Lecture 3: The Input Box and Advanced Filters

Lecture 4: Slider Control

Lecture 5: Control Checkbox

Lecture 6: Using Controls for Selected Charts

Lecture 7: Application of Filters in Charts

Chapter 6: Google Analytics – Work with 3rd-party Data

Lecture 1: Lets First Understand the Google Analytics Data

Lecture 2: Add 3rd Party Data in Data Studio – Google Analytics Data

Lecture 3: Comparative Analysis with Scorecards – Google Analytics Data

Lecture 4: Heterogenous Data in Homogenous Data Studio Environment

Lecture 5: Date Range Control Demonstration with Google Analytics Data

Lecture 6: Time Series Charts in Google Data Studio

Lecture 7: Geo Charts Using Google Analytics Data in Data Studio

Lecture 8: Application of Bubble Charts in DS

Lecture 9: Pivot Table Application with Google Analytics Data in DS

Lecture 10: Line Chart Application on Google Analytics Data in DS

Chapter 7: Community Visualizations

Lecture 1: Community Visualizations – Funnels in Google Data Studio

Lecture 2: Community Visualization – Radar Charts

Lecture 3: Community Visualization – Time Plot Charts

Lecture 4: Community Visualization – Heatmaps

Lecture 5: Housekeeping Options of Community Visualizations

Chapter 8: Section 8: Bonus Section

Lecture 1: Bonus Lecture

Instructors

Rudranil Chakrabortty
Online Marketing Professional and Instructor

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 7 votes
4 stars: 25 votes
5 stars: 39 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

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