Tag: data visualization

Foundations of Data Science

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From Springboard: “Launch your Data Science career with this introductory course. Build a solid foundation in R and start exploring data-related careers. What you’ll learn: Becoming a data scientist isn’t easy. It takes more than just mastering skills like statistics, data wrangling, and visualization. You need to learn how to ask the right questions and weave a story around your findings. By the end of the course, you’ll: Build a … Continue Reading

Data Management and Visualization

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This course is 1 of 5 in the Data Analysis and Interpretation Specialization. From Coursera: “Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover … Continue Reading

DataCamp – Data Visualization in R with lattice

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From DataCamp: “Visualization is an essential component of interactive data analysis in R. Traditional (base) graphics is powerful, but limited in its ability to deal with multivariate data. Trellis graphics is the natural successor to traditional graphics, extending its simple philosophy to gracefully handle common multivariable data visualization tasks. This course introduces the lattice package, which implements Trellis graphics for R, and illustrates its basic use.” This course consists of five … Continue Reading

DataCamp – Visualizing Time Series Data in R

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From DataCamp: “As the saying goes, ‘A chart is worth a thousand words’. This is why visualization is the most used and powerful way to get a better understanding of your data. After this course you will have a very good overview of R time series visualisation capabilities and you will be able to better decide which model to choose for subsequent analysis. You will be able to also convey the … Continue Reading

DataCamp – Data Visualization in R with ggvis

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From DataCamp: “In our ggvis data visualization course, you will learn how to create static and interactive graphs to display distributions, relationships, model fits, and more. The first part of the course will focus on how to think conceptually about data visualizations using the theory behind the grammar of graphics. Next, you will dive into the syntax of the R graphics package ggvis. Step-by-step, you’ll learn how to create clear R … Continue Reading

DataCamp – Interactive Data Visualization with Bokeh

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From DataCamp: “Bokeh is an interactive data visualization library for Python (and other languages!) that targets modern web browsers for presentation. It can create versatile, data-driven graphics, and connect the full power of the entire Python data-science stack to rich, interactive visualizations.” This course consists of five chapters: Basic plotting with Bokeh Layouts, Interactions, and Annotations High-level Charts Building interactive apps with Bokeh Putting It All Together! A Case Study

DataCamp – Exploratory Data Analysis in R: Case Study

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From DataCamp: “Once you’ve started learning tools for data manipulation and visualization like dplyr and ggplot2, this course gives you a chance to use them in action on a real dataset. You’ll explore the historical voting of the United Nations General Assembly, including analyzing differences in voting between countries, across time, and among international issues. In the process you’ll gain more practice with the dplyr and ggplot2 packages, learn about the … Continue Reading

DataCamp – Introduction to Data Visualization with Python

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From DataCamp: “This course extends Intermediate Python for Data Science to provide a stronger foundation in data visualization in Python. The course provides a broader coverage of the Matplotlib library and an overview of Seaborn (a package for statistical graphics). Topics covered include customizing graphics, plotting two-dimensional arrays (e.g. pseudocolor plots, contour plots, images, etcl), statistical graphics (e.g., visualizing distriubtions & regressions), and working with time series and image data.” This … Continue Reading

DataCamp – Exploratory Data Analysis

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From DataCamp: “When your dataset is represented as a table or a database, it’s difficult to observe much about it beyond its size and the types of variables it contains. In this course, you’ll learn how to use graphical and numerical techniques to begin uncovering the structure of your data. Which variables suggest interesting relationships? Which observations are unusual? By the end of the course, you’ll be able to answer these … Continue Reading

DataCamp – Data Visualization in R

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From DataCamp: “This course provides a comprehensive introduction on how to plot data with R’s default graphics system, base graphics. After an introduction to base graphics, we look at a number of R plotting examples, from simple graphs such as scatterplots to plotting correlation matricies. The course finishes with exercises in plot customization. This includes using R plot colors effectively and creating and saving complex plots in R.” The course consists … Continue Reading