Google Data Studio A-Z For Data Visualization And Dashboards

Use Google Data Studio to create reports & data visualizations from Google Sheets| Google Analytics| Google Ads|BigQuery
What you'll learn
How to use Google Data Studio to turns your data into fully customizable informative reports and dashboards that are easy to read and share
All chart types that one can draw in Google Data Studio
Sharing and collaborating on Datastudio reports
Branding a report - Adding Logo and setting theme
Embedding external content into the report
Embedding your Google Datastudio report on your website
Adding date range and filter controls to your dashboard
Requirements
You just need a computer with internet connection. This is a beginner friendly course and does not require any previous knowledge.
Description
6 Reasons why you should choose this Google Data Studio courseCarefully designed course, teaching you not only how to draw all types of charts in Google Data Studio, but also advanced Data studio specific featuresConcise - you can complete this Google Data Studio course within one weekendBusiness-related examples and case studiesAmple practice exercises because Data Visualization and Google Data Studio require practiceDownloadable resources for learning Google Data Studio and Data VisualizationYour queries will be responded by the Instructor himselfStart using Google Data Studio to its full potential to become proficient at Google Data Studio and Data Visualization and reporting tasks today!Either you're new to Data Visualization or Google Data Studio, or you've made some charts and graphs using some data visualization software such as MS Excel or Tableau. Either way, this course will be great for you.A Verifiable Certificate of Completion is presented to all students who undertake this Google Data Studio course.Why should you choose this course?This is a complete and concise tutorial on Google Data Studio which can be completed within 6 hours. We know that your time is important and hence we have created this fast paced course without wasting time on irrelevant operations.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Science and Machine Learning for over a decade. We have in-depth understanding on and practical exposure to Google Data Studio and Data Visualization.We are also the creators of some of the most popular online courses - with over 600,000 enrollments and thousands of 5-star reviews like these ones:I had an awesome moment taking this course. It broaden my knowledge more on the power use of Excel as an analytical tools. Kudos to the instructor! - SikiruVery insightful, learning very nifty tricks and enough detail to make it stick in your mind. - ArmandOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, Google Data Studio, Data Visualization, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.What is covered in this course?This course covers everything you need to create insightful and dynamic reports using Google Data Studio in the professional work place.Below are the course contents of this complete and concise course on Google Data studio:Introduction - In this section, the structure and the contents of the course are discussed. We also discuss the reason to why should we learn Google Data Studio.Theoretical concepts - This lecture covers the prerequisite understanding of key terminologies and concepts before we start to work on Google Data Studio.All charts and tables in Data Studio - We cover all the available chart types one-by-one. It includes Data tables, scorecards, bar charts, time series, pie charts, GeoMaps, pivot tables and many more.Data filter controls - This lecture covers the filtering options that can be given to the report viewers so that each viewer can filter the data and see only what s/he wants to see.Branding the report - Branding a report is a very popular business practice and we will see how we can do it using brand logo and brand colorsEmbedding external content - We can add videos, quizzes, feedback forms, company websites to our report. Yes! It is possible. We will see how in this section.Blending multiple data sets - Real life data is in multiple tables. To plot a graph using data from multiple tables requires data blending. Very Important Section.Report Sharing and Collaborating - This section covers ways in which you can give viewing or editing rights to others. You can also schedule regular reports to the management using Google Data Studio. Report sharing is something where no other Data Visualization tool can beat Google Data Studio.And so much more!By the end of this course, your confidence in using Google data studio for data visualisation will soar. You'll have a thorough understanding of how to use Google Data Studio for creating insightful dashboards and beautiful reports.Go ahead and click the enroll button, and I'll see you in lesson 1 of this Google Data Studio course!CheersStart-Tech AcademyFAQ'sWhat you can do with Data Studio?Visualize your data through highly configurable charts and tables.Easily connect to a variety of data sources.Share your insights with your team or with the world.Collaborate on reports with your team.Speed up your report creation process with built-in sample reports.Is Google Data Studio free to use?Google Data Studio is offered completely free by Google.What is the use of Google Data Studio?Google Data Studio gives you everything you need to turn your client's analytics data into informational, easy-to-understand reports through data visualization. The reports are easy to read, easy to share and even customizable to each of your clientsThe Authors of this course have several years of corporate experience and hence have curated the course material keeping in mind the requirement of Google Data Studio and Data visualization techniques in today's corporate world.
Overview
Section 1: Introduction
Lecture 1 Course Introduction
Lecture 2 Course Resources
Lecture 3 Why Data Studio?
Lecture 4 This is a milestone!
Section 2: Terminologies & Theoretical concepts for Data Studio
Lecture 5 Data Studio Home Screen & Dataset vs Data Source
Lecture 6 Structure of Input data & Dimensions vs Metrics
Section 3: Practical part begins here
Lecture 7 Opening Data Studio
Lecture 8 Adding a data source
Lecture 9 Managing added data source
Section 4: Charts to highlight numbers
Lecture 10 Data Table
Lecture 11 Styling tab for data table
Lecture 12 Scorecards
Section 5: Charts for comparing categories : Bar charts and stacked charts
Lecture 13 Simple Bar and Column chart
Lecture 14 Stacked Column chart
Section 6: Charting maps of a country, continent, or region - Geomaps
Lecture 15 GeoMap
Section 7: Charts to highlight trends: Time Series, Line and Area charts
Lecture 16 Time Series
Lecture 17 Update to Time Series chart
Lecture 18 Line Chart and Combo Chart
Section 8: Highlighting contribution to total: Pie chart & Donut Chart
Lecture 19 Pie Chart and Donut Chart
Lecture 20 Stacked Area Charts
Section 9: Relationship between two or more variables: Scatter plots
Lecture 21 Scatter Plots and Bubble charts
Section 10: Aggregating on two dimensions: Pivot tables
Lecture 22 Pivot tables for cross tabulation
Section 11: All about a single Metric: Bullet Chart
Lecture 23 Bullet Chart
Section 12: Chart for highlighting heirarchy: TreeMap
Lecture 24 TreeMaps
Section 13: Branding a Report
Lecture 25 Branding a Report: Brand Logo and Company Details
Lecture 26 Brand colors for report branding
Section 14: Giving the power to filter Data to viewers
Lecture 27 Filter controls for viewers
Section 15: Add Videos, Feeedback form etc. to your Report
Lecture 28 URL Embed to include external content
Section 16: Sometimes data is in multiple tables
Lecture 29 Blending data from multiple tables
Section 17: Sharing and Collaborating on Data Studio report
Lecture 30 Downloading report as PDF and Page Management
Lecture 31 Sharing report and Data Credentials
Lecture 32 Sharing report using a link
Lecture 33 Scheduling emails
Lecture 34 Embeding report on Website
Section 18: Google BigQuery Connection
Lecture 35 Connecting and Visualizing Data in Google BigQuery
Section 19: Charting Best Practices
Lecture 36 Highlighting chart message
Lecture 37 Eliminating Distractions from the Graph
Lecture 38 Avoiding clutter
Lecture 39 Avoiding the Spaghetti plot
Lecture 40 The final milestone!
Section 20: Congratulations & about your certificate
Lecture 41 Bonus Lecture
Students who wish to join the field of analytics,Working professionals looking to learn a powerful dashboarding and Data Visualization tool


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