Search result for Data-science Online Courses & Certifications
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Data Visualization Capstone
by Collin Paschall- 4.9
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Approx. 22 hours to complete
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Data Import...
Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
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Approx. 19 hours to complete
With the help of our industry-leading data scientists, we’ve designed this course to build ready-to-apply data science skills in just 15 hours of learning. About Data Science Fundamentals for Data Analysts Completing Data Science Projects A Review of the Data Science Process Data Science Project Lab Intro Data Science Project Summary Activity Data Science Project Lab...
Building a Data Science Team
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
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Approx. 6 hours to complete
Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. How the data science team relates to other teams in an organization What are the expected qualifications of different data science team members How to guide data science teams to success...
Introduction to Clinical Data Science
by Laura K. Wiley, PhD- 4.6
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Approx. 8 hours to complete
This course will prepare you to complete all parts of the Clinical Data Science Specialization. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud. Welcome to the Clinical Data Science Specialization...
Agile Analytics
by Alex Cowan- 4.8
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Approx. 15 hours to complete
Analytics and Data Science Facilitating Collaboration with Your Data Science Team Interview: Drew Conway on Data Science Interview: Drew Conway’s Data Science Journey Interview: Casey Lichtendahl: Data Science and You Interview: Casey Lichtendahl: Closer Look at the Work of Data Science Data Science IRL: Intro to the Casino Jack Case Data Science IRL: Data Wrangling and Exploratory Analysis...
Natural Language Processing and Capstone Assignment
by Dursun Delen , Julie Pai- 0.0
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Approx. 5 hours to complete
The Past, Present, and Future of Data Science I Future of Data Analytics The Past, Present, and Future of Data Science I The Past, Present, and Future of Data Science II The Past, Present, and Future of Data Science II Future trends and possibilities in data science...
Data Science Methodology
by Alex Aklson , Polong Lin- 4.6
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Approx. 8 hours to complete
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. - The major steps involved in tackling a data science problem. Data Requirements...
Data Science and Machine Learning Masterclass with R
by Up Degree- 4.5
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12.5 hours on-demand video
Data Science by IITan - Data Science :Data Manipulation , Data Science Data Visualization, Data Science : Data Analytics Are you planing to build your career in Data Science in This Year? The Answer Why Data Science is a Must have for Now a days will take a lot of time to explain....
$12.99
Getting Started with Teaching Data Science in Schools
by Jeremy Singer , Peter Donaldson , Lovisa Sundin- 0.0
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Learn the basics of data science and how to introduce data science in the classroom. First Steps in Data Science Why is data important? Getting into data Understanding your Data Visualizing data Interpreting your data Your Very Own Data Project Carrying out your Data Investigation...
Free
Spatial Data Science and Applications
by Joon Heo- 4.4
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Approx. 12 hours to complete
Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. 1 Introduction to Spatial Data Science...
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