Search result for Statistics and data science Online Courses & Certifications
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Data Science Fundamentals for Data Analysts
by Emma Freeman , Mark Roepke- 0.0
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Approx. 19 hours to complete
First, we’ll give you a quick introduction to data science - what it is and how it is used to solve real-world problems. Introductory Statistics for Data Science Apply foundational data science concepts and techniques to solve these real-world problems. Design, execute, assess, and communicate the results of your very own data science projects....
A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
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Approx. 7 hours to complete
By now you have definitely heard about data science and big data. How to describe the role data science plays in various contexts How statistics, machine learning, and software engineering play a role in data science How to identify a successful and an unsuccessful data science project Understand how Statistics and Machine Learning affect Data Science...
Introduction to Genomic Technologies
by Steven Salzberg, PhD , Jeff Leek, PhD- 4.6
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Approx. 6 hours to complete
You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization. Memory and Data Structures Data Science Technology Quiz 4: Data Science Technology...
Data Analysis with Python
by Joseph Santarcangelo- 4.7
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Approx. 13 hours to complete
You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Data Analysis with Python will be delivered through lecture, lab, and assignments. Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset....
Intro to Analytic Thinking, Data Science, and Data Mining
by Dursun Delen , Julie Pai- 4
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Approx. 7 hours to complete
In this course, we will begin with an exploration of the field and profession of data science with a focus on the skills and ethical considerations required when working with data. We will review the types of business problems data science can solve and discuss the application of the CRISP-DM process to data mining efforts. Data Science and Employee Retention...
Tools for Data Science
by Aije Egwaikhide , Svetlana Levitan , Romeo Kienzler- 4.5
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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...
Advanced Clinical Data Science
by Michael G. Kahn, MD, PhD , Laura K. Wiley, PhD- 0.0
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Approx. 4 hours to complete
This course prepares you to deal with advanced clinical data science topics and techniques including temporal and research quality analysis. Introduction: Advanced Clinical Data Science Welcome to Advanced Clinical Data Science Keep Calm and Data Science On Understanding Dates and Times: MIMIC-III and Common Data Models Tools and Techniques: Missing Data...
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Exploratory Data Analysis with MATLAB
by Erin Byrne , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Nikola Trica , Cris LaPierre , Adam Filion , Heather Gorr- 4.8
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Approx. 19 hours to complete
In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. Introduction to the Data Science Workflow Practical Data Science with MATLAB MATLAB as a Data Science Tool...
Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
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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 Describe possible pitfalls when pulling / assembling data and learn solutions for managing data pulls....
Materials Data Sciences and Informatics
by Dr. Surya Kalidindi- 4.5
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Approx. 9 hours to complete
Attention is drawn to specific opportunities afforded by this new field in accelerating materials development and deployment efforts. Materials Knowledge and Materials Data Science Data Science Terminology Main Components of Data Science Materials Knowledge and Materials Data Science Structure-Property Linkages using a Data Science Approach-Part 1 Structure-Property Linkages using a Data Science Approach-Part 2 Materials Data Science with PyMKS...
