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

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

Data Science: Capstone (edX)

Statistics & Data Analysis Data Science

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
Probability Machine Learning Regression
Details
Introduction to Linear Models and Matrix Algebra (edX) EdX
HarvardX,Harvard University

Introduction to Linear Models and Matrix Algebra (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

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
Algebra Linear Algebra Matrix
Details
How to analyze a microbiome (edX) EdX
KU Leuven University,KULeuvenX

How to analyze a microbiome (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Learn common analysis techniques to make sense of microbial sequencing data. Microorganisms play a major role in the biosphere and within our bodies, but only a tiny fraction has been cultured so far. Microbiome data, that is the genetic information of microorganisms, is therefore an important window into the hidden microbial world.

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

High-Dimensional Data Analysis (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

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
Machine Learning Clustering Data Analysis
Details
RShiny for Everyone (edX) EdX
Davidson College,DavidsonX

RShiny for Everyone (edX)

Statistics & Data Analysis

Use R’s Shiny package to create data-driven, interactive web applications. In this course, you will use R Shiny to create an interactive web application that highlights the biodiversity of America’s National Parks. Your application will feature an interactive map, biodiversity calculator, trail journal and species images. Using R Shiny, you will expand your data analysis and visualization skills while developing your workflow through web application deployment.

Self Paced
Self-Paced
Data Analysis Web Applications Data Visualization
Details
Data Science: R Basics (edX) EdX
HarvardX,Harvard University

Data Science: R Basics (edX)

Statistics & Data Analysis Data Science

Build a foundation in R and learn how to wrangle, analyze, and visualize data. This course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you’ll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.

Self Paced
Self-Paced
Probability Machine Learning Inference
Details
Basics of Statistical Inference and Modelling Using R (edX) EdX
University of Canterbury,UCx

Basics of Statistical Inference and Modelling Using R (edX)

Sci: Mathematics Statistics & Data Analysis

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
Statistics Modeling Data Analysis
Details
Analyzing Data with R (edX) EdX
IBM

Analyzing Data with R (edX)

Statistics & Data Analysis

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
Data Data Analysis ANOVA
Details
Data Analytics and Visualization Capstone Project (edX) EdX
IBM

Data Analytics and Visualization Capstone Project (edX)

Statistics & Data Analysis

Accelerate the knowledge you gain from previous courses in the IBM Data Analyst Professional Certificate program. Assume the role of an Associate Data Analyst and use various skills and techniques on real-world datasets to accomplish a task. This course provides students with the opportunity to assume the role of an Associate Data Analyst who has recently joined an organization. In this role, you will use Data Analytics skills and techniques on real-world datasets to complete a business task.

Self Paced
Self-Paced
Data Data Wrangling Data Visualization
Details
Excel avanzado: importación y análisis de datos (edX) EdX
Universitat Politècnica de València,UPValenciaX

Excel avanzado: importación y análisis de datos (edX)

CS: Information & Technology Statistics & Data Analysis

Conoce técnicas y estrategias avanzadas para importar, consolidar y visualizar con Excel datos provenientes de cualquier fuente. En este curso de análisis e interpretación de datos te presentaremos técnicas avanzadas de importación de datos y estrategias diversas para consolidarlos y prepararlos una vez importados de forma que puedas extraer las conclusiones que necesitas (basadas en nuestra experiencia en el uso de Microsoft Excel y demostradas con casos reales).

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

Data Processing and Analysis with Excel (edX)

Statistics & Data Analysis

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
Excel Data Analysis Microsoft Excel
Details