AbstractWe describe an introductory data science course, entitled Introduction to Data Science, offered at the University of Illinois at Urbana-Champaign. The course introduced general programming concepts by using the Python programming language with an emphasis on data preparation, processing, and presentation. The course had no prerequisites, and students were not expected to have any programming experience. This introductory course was designed to cover a wide range of topics, from the nature of data, to storage, to visualization, to probability and statistical analysis, to cloud and high performance computing, without becoming overly focused on any one subject. We conclude this article with a discussion of lessons learned and our plans...
This paper reports on our experience teaching introductory programming by means of real-world data a...
Abstract \ \ The explosive growth of data analytics has led to a large demand for analytical skil...
Data Science (DS) is an interdisciplinary field responsible for extracting knowledge from the data. ...
AbstractWe describe an introductory data science course, entitled Introduction to Data Science, offe...
<p>Demand for data science education is surging and traditional courses offered by statistics depart...
A growing number of students are completing undergraduate degrees in statistics and entering the wor...
Asking yourself the most important questions is a good way to introduce a book dedicated to Data Sci...
AbstractIntegrating data and models is an important and still challenging goal in science. Computati...
Data science is an emerging field, blossoming from the large amounts of data that can now be collect...
In this talk we will discuss the 3-year, NSF funded Data Science for All seminar series; including t...
Introduction: Data scientists has received great attention in recent years following the demands of ...
Data Science is a general education course that was introduced at Temple University by the Departmen...
The era of big data poses new challenges and higher requirements for students majoring in economics ...
The National Academies recommend academic institutions foster a basic understanding of data science ...
The emphasis on Java and other commercial languages in CS1 has established the perception of compute...
This paper reports on our experience teaching introductory programming by means of real-world data a...
Abstract \ \ The explosive growth of data analytics has led to a large demand for analytical skil...
Data Science (DS) is an interdisciplinary field responsible for extracting knowledge from the data. ...
AbstractWe describe an introductory data science course, entitled Introduction to Data Science, offe...
<p>Demand for data science education is surging and traditional courses offered by statistics depart...
A growing number of students are completing undergraduate degrees in statistics and entering the wor...
Asking yourself the most important questions is a good way to introduce a book dedicated to Data Sci...
AbstractIntegrating data and models is an important and still challenging goal in science. Computati...
Data science is an emerging field, blossoming from the large amounts of data that can now be collect...
In this talk we will discuss the 3-year, NSF funded Data Science for All seminar series; including t...
Introduction: Data scientists has received great attention in recent years following the demands of ...
Data Science is a general education course that was introduced at Temple University by the Departmen...
The era of big data poses new challenges and higher requirements for students majoring in economics ...
The National Academies recommend academic institutions foster a basic understanding of data science ...
The emphasis on Java and other commercial languages in CS1 has established the perception of compute...
This paper reports on our experience teaching introductory programming by means of real-world data a...
Abstract \ \ The explosive growth of data analytics has led to a large demand for analytical skil...
Data Science (DS) is an interdisciplinary field responsible for extracting knowledge from the data. ...