Search result for Variables and data types Online Courses & Certifications
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Qualitative Data Analysis with MAXQDA Software
by Karen Andes, PhD- 4.6
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Approx. 16 hours to complete
This course will introduce you to MAXQDA software for easier data analysis during the qualitative research process. You'll explore how to do memos, variables, segmentation, coding, and data reduction techniques all in this course! Introduction to Qualitative Data Analysis [Prep] Download Initial Data Files Augmenting Data Working with Memos & Data in MAXQDA...
Foundations of Data Science: K-Means Clustering in Python
by Dr Matthew Yee-King , Dr Betty Fyn-Sydney , Dr Jamie A Ward , Dr Larisa Soldatova- 4.6
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Approx. 29 hours to complete
Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. Types of Data Week 4: Introducing Pandas and Using K-Means to Analyse Data...
Regression Modeling in Practice
by Jen Rose , Lisa Dierker- 4.4
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Approx. 11 hours to complete
This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. How to Write About Data SAS Lesson 1: More on Confounding Variables...
Understanding and Visualizing Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.7
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Approx. 20 hours to complete
In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Properly identify various data types and understand the different uses for each...
The Data Science of Health Informatics
by Hadi H. K. Kharrazi, MD, Ph.D , Sam Meiselman- 4.7
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Approx. 10 hours to complete
Health data are notable for how many types there are, how complex they are, and how serious it is to get them straight. Introduction to Databases and Data Types Common Data Types I Common Data Types II Common Data Types III Emerging Data Types Data Sources and Data Challenges Common Clinical Data Sources...
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. Keep Calm and Data Science On Understanding Dates and Times: MIMIC-III and Common Data Models Tools and Techniques: Missing Data Types of Missing Data Data Missingness Techniques: Record Linkage and Data Quality...
A Crash Course in Causality: Inferring Causal Effects from Observational Data
by Jason A. Roy, Ph.D.- 4.7
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Approx. 18 hours to complete
This course aims to answer that question and more! Over a period of 5 weeks, you will learn how causal effects are defined, what assumptions about your data and models are necessary, and how to implement and interpret some popular statistical methods. Implement several types of causal inference methods (e. Welcome and Introduction to Causal Effects...
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Statistics for International Business
by George Kapetanios- 3.7
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Approx. 10 hours to complete
This course introduces core areas of statistics that will be useful in business and for several MBA modules. It covers a variety of ways to present data, probability, and statistical estimation. Using Graphs to Describe Data Quiz: Categorical and Numerical Variables Formulation of the Null Hypothesis and the Alternative Hypothesis Types of Errors...
Understanding Clinical Research: Behind the Statistics
by Juan H Klopper- 4.8
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Approx. 27 hours to complete
Data types Measurements and numbers: Numerical data types How to tell the difference: Discrete and continuous variables Key notes: Data types Key notes: Numerical data types Key notes: Discrete and continuous variables Test your knowledge: Data types Area under the curve: Continuous data types Categorical data and analyzing accuracy of results...
Introduction to Java and Object-Oriented Programming
by Brandon Krakowsky- 4
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Approx. 17 hours to complete
This course provides an introduction to the Java language and object-oriented programming, including an overview of Java syntax and how it differs from a language like Python. Topics include basic data structures like Arrays and ArrayLists and overloading methods. Variables & data types illegal variable assignments and method calls Quiz 05 - Static Variables & Methods...
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