Search result for Data collection and analysis Online Courses & Certifications
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Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
Approx. 19 hours to complete
Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. Application: Consumption data and earning surprises Perform data analysis of real-world alternative datasets using Python....
Methods and Statistics in Social Science - Final Research Project
by Annemarie Zand Scholten- 4.3
Approx. 13 hours to complete
General information and literature (ST) Milestone 1 - General hypothesis and design Milestone 1 - General hypothesis and design Milestone 4 - Data collection, methods documentation and analysis plan Milestone 4 - Data collection, methods documentation and analysis plan Instruction - How to document methods and create an analysis plan Collective data and example statistical plan...
Quantitative Research
by Susan Berman , Olivier Rubel, PhD- 4.4
Approx. 17 hours to complete
Week 1: Assess methods available for creating quantitative surveys, along with their advantages and disadvantages. Week 4: Predict most likely outcomes from the marketing decisions and match the type of analysis needed for your business problem. Reviewing Your Data and Looking for Errors Descriptive Analysis: Ordinal and Interval Data Segmentation and Cluster Analysis Quantitative Data Analysis Techniques for Data-Driven Marketing...
Data Analysis and Visualization
by Arpan Chakraborty- 0.0
Approx. 16 weeks
This course will introduce students to the field by covering state-of-the-art modeling, analysis and visualization techniques. lesson 1 Programming in R The R Programming Language R Programming Syntax R Programming and Data Structures lesson 2 Data Analysis Data Preprocessing Data Processing Data Visualization lesson 3 Regression Logistic Regression Linear Regression Regularization...
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Qualitative Research Methods
by Gerben Moerman- 4.6
Approx. 24 hours to complete
You will learn about data collection, description, analysis and interpretation in qualitative research. We will focus on the ingredients required for this process: data collection and analysis. 9 Observation and Interpretation Focus and the assignment 5 Probing and prompting Qualitative Analysis 1 Qualitative Analysis 2 Code and Retrieve 3 Framework Analysis Qualitative Analysis...
Precalculus: Mathematical Modeling
by Joseph W. Cutrone, PhDTop Instructor- 4.5
Approx. 10 hours to complete
This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Model data with both single and multivariable functions Visualize and analyze data using different technologies....
AI in Healthcare Capstone
by Matthew LungrenTop Instructor , Nigam Shah , Serena YeungTop Instructor , Tina Hernandez-Boussard , Laurence Baker- 4.6
Approx. 11 hours to complete
The data set spans EHR as well as image data and using this dataset, we will build models that enable risk-stratification decisions for our patient. Getting Started, Phase 1: Data Collection Phase 1: Data Collection Phase 5: Model Deployment and Regulation, Wrap Up Phase 5: Model Deployment and Regulation...
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Foundations: Data, Data, Everywhere
by Google Career CertificatesTop Instructor- 4.8
Approx. 20 hours to complete
- Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. Data and gut instinct The data analysis process and this program Learning Log: Reflect on the data analysis process Data analyst roles and job descriptions...
Data Collection: Online, Telephone and Face-to-face
by Frederick Conrad, Ph.D.- 4.6
Approx. 21 hours to complete
This course presents research conducted to increase our understanding of how data collection decisions affect survey errors. The course reviews a range of survey data collection methods that are both interview-based (face-to-face and telephone) and self-administered (paper questionnaires that are mailed and those that are implemented online, i. Module 1: Introduction, Classic Modes of Survey Data Collection...
Foundations of Sports Analytics: Data, Representation, and Models in Sports
by Wenche Wang , Stefan Szymanski- 4.5
Approx. 49 hours to complete
Learners will discover a variety of techniques that can be used to represent sports data and how to extract narratives based on these analytical techniques. Introduction to Sports Data and Plots in Python Introduction to Sports Data and Regression Using Python Regression Analysis - Intro to Cricket Data Regression Analysis - Batsman's performance and salary...