Search result for Types of qualitative data analysis Online Courses & Certifications
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Business Metrics for Data-Driven Companies
by Daniel Egger , Jana Schaich Borg- 4.6
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Approx. 8 hours to complete
You’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. com as a Leading Example of Use of Dynamic Metrics - Part 1 Overview of 5 Types of Companies as They Relate to Big Data Four Types of Money Managers and Their Performance Metrics...
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
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Approx. 16 hours to complete
In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. Review of Data Science Data Science Process vs....
Statistics for Genomic Data Science
by Jeff Leek, PhD- 4.2
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Approx. 9 hours to complete
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Exploratory Analysis (9:21) Exploratory Analysis in R Part I (7:22) Exploratory Analysis in R Part II (10:07) Combining Data Types (eQTL) (6:04)...
Code Free Data Science
by Natasha Balac, Ph.D.- 4.3
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Approx. 14 hours to complete
The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Welcome to the world of Big Data...
Qualitative Comparative Analysis (QCA)
by Fadi Hirzalla- 4.8
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Approx. 27 hours to complete
Welcome to this massive open online course (MOOC) about Qualitative Comparative Analysis (QCA). Calibration with quantitative, qualitative and secondary data Using the program fsQCA for the analysis of crisp data (PLUS bonus assignment 7; is not mandatory) Using the program fsQCA for the analysis of fuzzy data (PLUS bonus assignment 9; is not mandatory)...
Statistical Thinking for Industrial Problem Solving, presented by JMP
by Mia Stephens , Ledi Trutna- 4.8
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Approx. 44 hours to complete
By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. • Describe the importance of data, and the steps needed to compile and prepare data for analysis Types of Data Types of Data Summary of Exploratory Data Analysis Tools...
Improving Your Statistical Questions
by Daniel LakensTop Instructor- 4.9
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Approx. 18 hours to complete
Consent Form for Use of Data 2: Setting the Smallest Effect Size Of Interest 2: Power Analysis 2: Power Analysis for ANOVA Designs 2: Power Analysis for ANOVA Designs 1: Likelihood of Significant Findings 1: Likelihood of Significant Findings Module 5: Computational Reproducibility, Philosophy of Science, and Scientific Integrity 2: Philosophy of Science in Practice...
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Data Processing and Analysis with Excel
by Beth Prince-Bradbury- 0.0
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4 Weeks
Together we will develop a data analysis plan, after which we will apply analysis methods and tools, including exploratory analysis, evaluation of results, and comparison with other findings. You will be able to create an excel chart in a variety of chart types including scatter plot, pie charts, and more. ● Develop a data analysis plan...
$249
Probability Theory, Statistics and Exploratory Data Analysis
by Ilya V. Schurov- 4.7
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Approx. 22 hours to complete
Exploration of Data Science requires certain background in probability and statistics. This course introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science. Finally, we learn different types of data and their connection with random variables....
UX Research
by Sylvain Sénécal , Yany Grégoire- 0.0
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6 Weeks
Thorough knowledge of all user data collection in an IT project, Internal, external, primary, and secondary data sources, Purpose, pros & cons of qualitative and quantitative UX methods, User interview, focus group, observation, surveys, analytics, physiological data collecting, card sorting, to user testing and A/B testing, Collected data analysis to extract pertinent insights....
$299
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