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E.g., 2017-08-18
E.g., 2017-08-18
Aug 21st 2017

Leveraging the visualizations you created in the previous course, Visual Analytics with Tableau, you will create dashboards that help you identify the story within your data, and you will discover how to use Storypoints to create a powerful story to leave a lasting impression with your audience.

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Aug 21st 2017

This course is designed to impact the way you think about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. The course on operations analytics, taught by three of Wharton’s leading experts, focuses on how the data can be used to profitably match supply with demand in various business settings. In this course, you will learn how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. The course will introduce frameworks and ideas that provide insights into a spectrum of real-world business challenges, will teach you methods and software available for tackling these challenges quantitatively as well as the issues involved in gathering the relevant data.

Average: 9.4 (5 votes)
Aug 21st 2017

Get an overview of the data, questions, and tools that data analysts and data scientists work with. This is the first course in the Johns Hopkins Data Science Specialisation. In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, Github, R, and Rstudio.

Average: 4.7 (26 votes)

Aug 21st 2017

Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.

Average: 6.1 (16 votes)
Aug 14th 2017

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this brand new course, four of Wharton’s top marketing professors will dive deeper into the key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few.

Average: 6.2 (11 votes)
Aug 10th 2017

Este curso te ayudará a tomar el control sobre los datos, a darles sentido y, de esta manera, usarlos para mejorar tus decisiones.

Average: 1 (2 votes)

Aug 7th 2017

Explore the origins of the current data explosion and learn the implications on fraud and fraud detection. 90% of the data in the world today has been created in the last two years (IBM). This astonishing increase in data is what’s known as the data, or information, explosion and it has fundamentally transformed every sector of the global economy.

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Jul 31st 2017

Learn critical concepts and practical methods to support research data planning, collection, storage and dissemination.

Average: 9.3 (4 votes)
Jul 31st 2017

Copyright questions about different formats (data, images, music and video) can be especially difficult. Sometimes the law specifically distinguishes between these different formats, and in most cases there are media-specific considerations that impact a copyright analysis. In this course we will look at four different media, paying special attention to the unique issues for each one and the kinds of information that is important when making copyright decisions for each type of material.

Average: 1 (1 vote)
Jul 3rd 2017

Learn about the role of data in a range of disciplines and about some fundamental tools for extracting knowledge from data. How can we answer questions about the world around us? How can we make decisions about what to do? Over the past years, more and more people have turned to data for help. Huge amounts of data are collected every day from millions of sources. This data has a lot to tell us! But data by itself is mute—it can only help us if we learn to make it speak and tell its story.

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Jun 6th 2017

Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life. In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life.

Average: 7.5 (2 votes)

May 8th 2017

Get a practical insight into big data analytics, and popular tools and frameworks for collecting, storing and managing data. Data is everywhere and can be obtained from many different sources. Digital data can be obtained from social media, images, audio recordings and sensors, and electronic data is quite often available as real-time data streams.

Average: 9 (2 votes)