Search result for Analysis of qualitative data Online Courses & Certifications
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A Scientific Approach to Innovation Management
by Alfonso Gambardella , Arnaldo Camuffo , Chiara Spina- 4.6
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Approx. 14 hours to complete
We teach students to assess the feasibility of an innovative idea through problem-framing techniques and rigorous data analysis labelled ‘a scientific approach’. The structure of the innovation decision Interactive tour of the Museum of Failure Antecedents of the Scientific Approach THEORY AND DATA FOR INNOVATION MANAGEMENT Design and logic of hypothesis testing (download the attached datasets) DATA ANALYSIS...
MongoDB Aggregation Framework
by Nathan Leniz , Kirby Kohlmorgen- 4.6
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Approx. 19 hours to complete
This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework. You'll begin this course by building a foundation of essential aggregation knowledge. This will lay the groundwork for the remainder of the course where you'll dive deep and learn about schema design, relational data migrations, and machine learning with...
Primavera Risk Analysis (Pertmaster) Training.
by Umer Mushtaq Lone- 0.0
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1.5 hours on-demand video
This Course provides training for Primavera Risk Analysis Tool or Pertmaster, as it is popularly called. It leads you through examples in the analysis tool to get a thorough understanding of Risk Tool. Course contains over 34 lectures which cover almost all aspects of Primavera Risk Analysis Tool (Pertmaster), such as:...
$12.99
Critical Business Skills
by Michael Newhouse-Bailey, PhD- 0.0
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16 Weeks
Business analytics, which combines data analysis with industry knowledge to solve business problems and discover insights, is integrated throughout the course to ensure you’re able to support stakeholders at all levels of an organization. You’ll also be adept at interpreting qualitative and quantitative data to answer business questions by: Analyze qualitative and quantitative data using various methodologies and frameworks...
$498
Survival Analysis in R for Public Health
by Alex Bottle- 4.5
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Approx. 11 hours to complete
Welcome to Survival Analysis in R for Public Health! Data set and glossary The Course Data Set Survival Analysis Variables Introduction to Missing Data Practice in R: Getting to know your data Describe a data set from scratch, using descriptive statistics and simple graphical methods as a necessary first step for more advanced analysis...
Launching into Machine Learning
by Google Cloud Training- 4.6
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Approx. 22 hours to complete
Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. Improve Data Quality and Exploratory Data Analysis Improve Data Quality Lab Intro Improve Data Quality Exploratory Data Anlaysis Lab Intro Exploratory Data Analysis Practice Quiz on Exploratory Data Analysis...
Python and Statistics for Financial Analysis
by Xuhu Wan- 4.4
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Approx. 13 hours to complete
Python is now becoming the number 1 programming language for data science. By the end of the course, you can achieve the following using python: - Evaluate the performance of the trading model using different investment indicators Visualizing and Munging Stock Data 1 Packages for Data Analysis 2 Importing data 3 Basics of Dataframe 3 Models of Distribution...
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Public Debt, Investment, and Growth: The DIG and DIGNAR Models
by Giovanni Melina , Felipe Zanna- 0.0
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1 Weeks
They have helped inform policy analysis, based on qualitative and quantitative scenario analyses, on issues not only related to public investment surges but also to fiscal consolidations, cash transfers to poor households, the mix of public current and capital expenditures, the efficiency of public spending and tax administration, and the collapse of commodity prices, among others....
$25
Introduction to Automated Analysis
by Mike , Kevin Wendt- 4.1
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Approx. 19 hours to complete
The learner will become familiar with the fundamental theory and applications of such approaches, and apply a variety of automated analysis techniques on example programs. for analysis and testing of software This knowledge would benefit several typical roles: Software Engineer, Software Engineer in Test, Test Automation Engineer, DevOps Engineer, Software Developer, Programmer, Computer Enthusiast....
Modeling Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
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Approx. 21 hours to complete
Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. The Purpose of Data Science Types of Data Science Questions Descriptive and Exploratory Data Analysis Describe different types of data analytic questions Conduct hypothesis tests of your data Apply machine learning workflows to detect complex patterns in your data...
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