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Climate Adaptation for Human Health
by Kathryn Conlon- 4.5
Approx. 19 hours to complete
Resources for Adaptation Planning What Can Climate Adaptation Look Like for an Individual? Frameworks for Climate Adaptation and Health Informing Adaptation: Collecting Data for Adaptation Collecting Data for Adaptation Using Climate Data for Public Health Informing Adaptation: Collecting Data for Adaptation Identify and navigate at least one source for health, environmental, and vulnerability data...
Understanding and Visualizing Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.7
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...
Data Management for Clinical Research
by Stephany Duda, PhD , Paul Harris, PhD- 4.7
Approx. 17 hours to complete
This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Data Standards: What Can Standards Do for You? Planning a Data Strategy for a Prospective Study Data Management for Multi-Center or Network Studies...
Social Media Data Analytics
by Chirag Shah- 4.1
Approx. 13 hours to complete
Isabella is a Data Analyst working as a consultant for a multinational corporation. - Data Analyst Final Project Deliverable/ Artifact: The course will have a series of small assignments or mini-projects that involve data collection, analysis, and presentation involving various social media sources using the techniques learned in the class. (Optional) Introduction to Python for Econometrics, Statistics and Data Analysis...
Python Project for Data Engineering
by Ramesh Sannareddy , Joseph Santarcangelo- 4.6
Approx. 5 hours to complete
PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. Python Project for Data Engineering...
Mastering Data Analysis in Excel
by Jana Schaich Borg , Daniel Egger- 4.2
Approx. 21 hours to complete
In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected. The course does not cover Visual Basic or Pivot Tables and you will not need them to complete the assignments....
Meaningful Marketing Insights
by David Schweidel- 4.2
Approx. 10 hours to complete
The course provides learners with exposure to essential tools including exploratory data analysis, as well as regression methods that can be used to investigate the impact of marketing activity on aggregate data (e. Common Descriptive Statistics for Quantitative Data Regression Analysis for Marketing Data Use Big Data to Create Value for Customers, Not Just Target Them...
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Managing Data Analysis
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.6
Approx. 9 hours to complete
This one-week course describes the process of analyzing data and how to manage that process. This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Explore datasets to determine if data are appropriate for a given question...
Building a Data Science Team
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
Approx. 6 hours to complete
Data science is a team sport. This is a focused course designed to rapidly get you up to speed on the process of building and managing a data science team. How the data science team relates to other teams in an organization Relevant questions for interviewing data scientists Interviewing For Data Science Know relevant questions for interviewing data scientists...
Meaningful Predictive Modeling
by Julian McAuley , Ilkay Altintas- 4.4
Approx. 9 hours to complete
This course will help us to evaluate and compare the models we have developed in previous courses. So far we have developed techniques for regression and classification, but how low should the error of a classifier be (for example) before we decide that the classifier is "good enough"? Week 1: Diagnostics for Data Diagnostics for Data...