Search result for Online data science course Online Courses & Certifications
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Managing Data Analysis
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.6
Approx. 9 hours to complete
This one-week course describes the process of analyzing data and how to manage that process. This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Course Textbook: The Art of Data Science Conversations on Data Science...
Agile Analytics
by Alex Cowan- 4.8
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...
Introduction to Clinical Data Science
by Laura K. Wiley, PhD- 4.6
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. Accessing Course Data and Technology Platform...
Tools for Data Science
by Aije Egwaikhide , Svetlana Levitan , Romeo Kienzler- 4.5
Approx. 17 hours to complete
What are some of the most popular data science tools, how do you use them, and what are their features? Categories of Data Science Tools Open Source Tools for Data Science - Part 1 Open Source Tools for Data Science - Part 2 Commercial Tools for Data Science Cloud Based Tools for Data Science...
Data Science for Business Innovation
by Marco Brambilla , Emanuele Della Valle- 4.2
Approx. 7 hours to complete
The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. The course covers terminology and concepts, tools and methods, use cases and success stories of data science applications. The course explains what is Data Science and why it is so hyped....
Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
Approx. 19 hours to complete
In this course we're going to guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world! 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. Completing Data Science Projects...
Data Visualization Capstone
by Collin Paschall- 4.9
Approx. 22 hours to complete
One of the critical tools for data visualization today is the R statistical programming language. The focus on this course will applying those skills to a unique project, drawing on publicly available data to tell a compelling story using the data visualization toolkit assembled in the previous courses. Data Import Data Viz Pointers...
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Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
Approx. 7 hours to complete
Have you ever had the perfect data science experience? This is a focused course designed to rapidly get you up to speed on doing data science in real life. 1, Describe the “perfect” data science experience The course will be taught at a conceptual level for active managers of data scientists and statisticians....
Digital Footprint
by Louise Connelly , Nicola Osborne- 4.6
Approx. 9 hours to complete
In this course you will hear from a range of experts and you will have an opportunity to explore and reflect on your own online tracks and traces, to understand why your digital footprint is important. How to use this course Using social media on this course Step 2: Search for yourself online...
Data Science Methodology
by Alex Aklson , Polong Lin- 4.6
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...