Search result for Qualitative data analysis procedure Online Courses & Certifications
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From Zero to NVivo 11 - Qualitative data analysis with NVivo
by Dr Jaroslaw Kriukow- 4.6
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3 hours on-demand video
Take your data analysis to a higher level ➡️ you will understand how NVivo can help you take Your data analysis to a higher level. You will have a good understanding of what can be done to enrich your data analysis and how to use NVivo for this purpose...
$14.99
Research Methods and Statistics: An Introduction
by Monk Prayogshala- 4.2
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7.5 hours on-demand video
This course aims to explain when to apply which statistical procedure, the concepts that govern these procedures, common errors when using statistics, and how to get the best analysis out of your data....
$13.99
Advanced Data Science Techniques in SPSS
by Bogdan Anastasiei- 3.9
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6.5 hours on-demand video
Hone your SPSS skills to perfection - grasp the most high level data analysis methods available in the SPSS program. Within a few days only you can master some of the most complex data analysis techniques available in the SPSS program. Afterwards, the analysis is executed on a real-life data set and the output is thoroughly explained....
$12.99
Social Science Approaches to the Study of Chinese Society Part 2
by Cameron Campbell- 0.0
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Approx. 16 hours to complete
It reviews the major types of qualitative and quantitative data used in social science research, and then introduces some of the most important sources of existing data available freely or by application, worldwide and for China. Week 4 Public Data for China Week 4 Public Data for China Quantitative Analysis 1 Overview: Quantitative Analysis...
Community Based Research: Getting Started
by Diana Laurillard , Eileen Kennedy- 0.0
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Insight into the what, why, and how of community based researchIdentification of the skills needed to plan an effective research project, spanning research questions, qualitative and quantitative data collection, interview skills, and observation skillsPlanning of community based research projects, including development of a research proposal, submission for peer review, data analysis approaches, and networking and public engagement....
Free
Ask Questions to Make Data-Driven Decisions
by Google Career CertificatesTop Instructor- 4.7
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Approx. 18 hours to complete
This is the second course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. From issue to action: The six data analysis phases Qualitative and quantitative data Qualitative and quantitative data in business Data scenarios and responses Limitations of data...
Communicating Business Analytics Results
by Manuel Laguna , Dan Zhang , David Torgerson- 4.5
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Approx. 7 hours to complete
Developing these models and gaining insights from data do not necessarily lead to successful implementations. Best Practices in Data Visualization Data Visualization Examples Misleading With Data Acting on Data Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 1 Case Study 2: Multidimensional Analysis for Customer Acquisition - Part 2...
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SAS PROCEDURES for beginners & A lot of PRACTICE
by KDD Expert- 4
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2.5 hours on-demand video
Data manipulation, Statistical Analysis and Creation Reports using SAS Procedures In the course you are going to learn a variety of procedures that performs data manipulation, statistical analysis and creation reports. Third section includes data manipulation sas procedures....
$9.99
Agile Analytics
by Alex Cowan- 4.8
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Approx. 15 hours to complete
Qualitative Usability Testing Qualitative and Quantitative Analytics Analytics and Data Science What is Data Science? Facilitating Collaboration with Your Data Science Team Interview: Drew Conway on Data Science Interview: Drew Conway’s Data Science Journey Four Types of Data Executions Interview: Casey Lichtendahl: Data Science and You Data Science IRL: Data Wrangling and Exploratory Analysis...
Gender Analytics Capstone Project
by Sarah Kaplan- 0.0
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Approx. 9 hours to complete
You will be expected to think about the problem using an intersectional gender lens, explore both quantitative and qualitative data, apply human-centered design methodologies to developing prototypes, and plan for roll out in an organization, market or community. [Exercise] Sensemaking from quantitative data Using inclusive analysis to reframe the problem Sensemaking from qualitative data...
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