Search result for Master of information and data science Online Courses & Certifications
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Business intelligence and data analytics: Generate insights
by David Pitt , Smit Rathore- 4.6
Approx. 29 hours to complete
You will be introduced to key data analytics concepts such as systems thinking, multi-level perspectives and multidisciplinary methods for envisioning futures, and apply them to specific real-world challenges you and your organisation may face. 2 Data value chain Learning activities and assessment Basic statistics: Foundations of quantitative insights 1 Data visualisation and Anscombe’s Quartet...
Introduction to Digital health
by Lisa Danquah , Céire Costelloe- 0.0
Approx. 30 hours to complete
This course introduces the field of digital health and the key concepts and definitions in this emerging field. The key topics include Learning Health Systems and Electronic Health Records and various types of digital health technologies to include mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, artificial intelligence and big data....
Intro to Point & Click App Development
by Samantha Ready , Mario Korf , Andy Brown- 0.0
Approx. 1 months
You will become familiar with the concept of abstraction and how to think about concrete problems in their most general sense -- a concept critical for all developers. lesson 2 Creating your First App Salesforce Data: Salesforce represents data as objects fields and records. lesson 4 Visualizing your Data Reports: These let you gather related information into one place....
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Modeling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
Approx. 21 hours to complete
Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. This course covers the types of questions you can ask of data and the various modeling approaches that you can apply. The Purpose of Data Science Types of Data Science Questions...
Wrangling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.8
Approx. 14 hours to complete
This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively. Investing the time to learn these data wrangling techniques will make your analyses more efficient, more reproducible, and more understandable to your data science team. Conduct analyses of text data...
Data Visualization and Communication with Tableau
by Daniel Egger , Jana Schaich Borg- 4.7
Approx. 25 hours to complete
One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. In this course you will learn how to become a master at communicating business-relevant implications of data analyses. Salary Data Set, Description, and Analysis Plan...
Technical Writing
by Elena Bazanova- 4.6
Approx. 19 hours to complete
The course develops technical writing skills necessary to communicate information gained through a process of technical or experimental work. The course highlights the factors that determine the degree of technicality of the language and concepts involved. The course also approaches several language, structure, style, and content issues that you can encounter while reporting the results of your research....
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R Programming
by Roger D. Peng, PhD , Jeff Leek, PhD , Brian Caffo, PhD- 4.5
Approx. 57 hours to complete
In this course you will learn how to program in R and how to use R for effective data analysis. Overview and History of R Data Types - R Objects and Attributes Data Types - Vectors and Lists Course Supplement: The Art of Data Science Data Science Podcast: Not So Standard Deviations...
New Technologies for Business Leaders
by Mark Mueller-Eberstein, Dipl. Kfm.- 4.4
Approx. 19 hours to complete
This introductory course is developed for high level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e. Forget TV and YouTube: Why customer immersion is the next generation of media to master for marketers The Who is Who of Big Data and AI...
Teaching Impacts of Technology: Workplace of the Future
by Beth Simon- 0.0
Approx. 13 hours to complete
Technology and Computing Concepts: Data retrieval, data vs metadata, SQL, Boolean logic (AND, OR, NOT) In terms of CSTA K-12 computer science standards, we’ll primarily cover learning objectives within the “impacts of computing” concept, while also including some within the “networks and the Internet” concepts and the “data and analysis” concept. Career Exploration: Data Science and Artificial Intelligence...