EdX

Try It: Explore Google Looker Studio (edX)

Offered by edX,
Try It: Explore Google Looker Studio (edX)

Google Looker - formerly Google Data Studio - gives you a shortcut to compelling and actionable dashboards that makes your data sing. If you want to learn how to visualize and analyze data, this course on Google Looker Studio is your first step. Google Looker Studio is a free program that helps users create polished and interactive charts and graphs.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

In this Try It course, you’ll learn:

  • The ways that Dashboarding tools like Google Looker Studio support data analysis
  • How to build data visualizations by using Google Looker Studio
  • Methods for analyzing data visualizations

This course is a jumping-off point for learning more about dashboarding tools like Google Looker Studio, Tableau, and PowerBI. Businesses use programs like these to make data-informed decisions and to plan for the future. The skills you will learn in this course will help you with almost any project or job that involves data.

What you'll learn

  • The ways that Google Looker Studio supports data analysis.
  • How to create a Data Source in Google Looker Studio.
  • How to build a time series chart in Google Looker Studio.
  • How to analyze patterns in data by using a time series chart.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Basics of Statistical Inference and Modelling Using R (edX) EdX
University of Canterbury,UCx

Basics of Statistical Inference and Modelling Using R (edX)

Learn why a statistical method works, how to implement it using R and when to apply it and where to look if the particular statistical method is not applicable in the specific situation. Basics of Statistical Inference and Modelling Using R is part one of the Statistical Analysis in R professional certificate.

Self Paced
Self-Paced
Analyzing Data with R (edX) EdX
IBM

Analyzing Data with R (edX)

R is the key that opens the door between the problems you want to solve with data and the answers you need. This course walks you through the process of answering questions through data. The R programming language is purpose-built for data analysis. R is the key that opens the door between the problems you want to solve with data and the answers you need to meet your objectives.

Self Paced
Self-Paced
Introduction to Digital Humanities (edX) EdX
HarvardX,Harvard University

Introduction to Digital Humanities (edX)

Develop skills in digital research and visualization techniques across subjects and fields within the humanities. This course will show you how to manage the many aspects of digital humanities research and scholarship. Whether you are a student or scholar, librarian or archivist, museum curator or public historian — or just plain curious — this course will help you bring your area of study or interest to new life using digital tools.

Self Paced
Self-Paced
Analytics for Decision Making (edX) EdX
Babson College

Analytics for Decision Making (edX)

Discover the foundational concepts that support modern data science and learn to analyze various data types and quality to make smart business decisions. Want to know how to avoid bad decisions with data? Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data! Key concepts like understanding variation, perceiving relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.

Self Paced
Self-Paced
Analyzing and Visualizing Data with Power BI (edX) EdX
Davidson College,DavidsonX

Analyzing and Visualizing Data with Power BI (edX)

Step up your analytics game and learn one of the most in-demand job skills in the United States. Power BI is a robust business analytics and visualization tool from Microsoft that helps data professionals bring their data to life and tell more meaningful stores. This four-week course is a beginner's guide to working with data in Power BI and is perfect for professionals. You'll become confident in working with data, creating data visualizations, and preparing reports and dashboards.

Self Paced
Self-Paced
Data Science Tools (edX) EdX
IBM

Data Science Tools (edX)

Learn about the most popular data science tools, including how to use them and what their features are. In this course, you'll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. You will learn what each tool is used for, what programming languages they can execute, their features and limitations and how data scientists use these tools today.

Self Paced
Self-Paced
Data Processing and Analysis with Excel (edX) EdX
Rochester Institute of Technology,RITx

Data Processing and Analysis with Excel (edX)

Learn to use Excel to organize and clean data so it can be manipulated and analyzed. In this course, you will learn how to organize your data within the Microsoft Office Excel software tool. Once organized, we will discuss data cleaning. You will learn how to identify outliers and anomalies in the data, and how to identify and change data-types. Together we will develop a data analysis plan, after which we will apply analysis methods and tools, including exploratory analysis, evaluation of results, and comparison with other findings.

Self Paced
Self-Paced
High-Dimensional Data Analysis (edX) EdX
HarvardX,Harvard University

High-Dimensional Data Analysis (edX)

A focus on several techniques that are widely used in the analysis of high-dimensional data. If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis.

Self Paced
Self-Paced
Data Visualization and Building Dashboards with Excel and Cognos (edX) EdX
IBM

Data Visualization and Building Dashboards with Excel and Cognos (edX)

Build the fundamental knowledge necessary to use Excel and IBM Cognos Analytics to create data visualizations and to create dashboards containing those visualizations to help tell a lucid story about data. This course provides students with the basics required to create data visualizations and dashboards using both Microsoft Excel and IBM Cognos Analytics.

Self Paced
Self-Paced
Introduction to Linear Models and Matrix Algebra (edX) EdX
HarvardX,Harvard University

Introduction to Linear Models and Matrix Algebra (edX)

Learn to use R programming to apply linear models to analyze data in life sciences. Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory data analysis course, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. We perform statistical inference on these differences. Throughout the course we will use the R programming language.

Self Paced
Self-Paced
Data Science: Capstone (edX) EdX
HarvardX,Harvard University

Data Science: Capstone (edX)

Show what you’ve learned from the Professional Certificate Program in Data Science. To become an expert data scientist you need practice and experience. By completing this capstone project you will get an opportunity to apply the knowledge and skills in R data analysis that you have gained throughout the series. This final project will test your skills in data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning.

Self Paced
Self-Paced