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Project Execution: Running the Project
by Google Career CertificatesTop Instructor- 4.8
Approx. 23 hours to complete
This is the fourth course in the Google Project Management Certificate program. This course will delve into the execution and closing phases of the project life cycle. Using data analysis to inform decisions Common data metrics for project management The six steps of data analysis A framework for ethical decision-making Checklist for productive meetings...
Everyday Excel, Part 3 (Projects)
by Charlie NuttelmanTop Instructor- 5
Approx. 14 hours to complete
It is a capstone, projects-based course in which you will apply what you've learned previously to more complex, somewhat open-ended projects (open-ended with respect to the fact that they can be solved in multiple ways). Is This Course For You? For Mac Users The Importance of a Course Certificate and the Future of Higher Education Unlock Quiz for Course Files...
Data Analytics Foundations for Accountancy I
by Robert Brunner- 4.3
Approx. 66 hours to complete
Welcome to Data Analytics Foundations for Accountancy I! You’re joining thousands of learners currently enrolled in the course. Welcome to Data Analytics Foundations for Accountancy I The Importance of Data Analytics in Modern Accountancy Introduction to the Course JupyterHub Server Module 3: Introduction to Data Analysis Module 4: Statistical Data Analysis...
Relational Database Support for Data Warehouses
by Michael Mannino- 4.6
Approx. 22 hours to complete
Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Oracle Tools for Data Integration video lecture...
Imagery, Automation, and Applications
by Nick Santos- 4.9
Approx. 28 hours to complete
Welcome to the last course of the specialization (unless your continuing on to the capstone project, of course!). Take Geospatial and Environmental Analysis as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. Course Overview, Imagery, and Raster Calculator Course Overview Collecting and Managing Data for Your Workflows...
Essential Design Principles for Tableau
by Govind Acharya , Hunter Whitney- 4.5
Approx. 13 hours to complete
This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will assess how data and design work together, including how to choose the appropriate visual representation for your data, and the difference between effective and ineffective visuals. Practicing Good Ethics in Data Visualization...
Digitalisation in Space Research
by Klaus Drechsler , Guenter W. Hein- 4.7
Approx. 13 hours to complete
This course provides an overview of the most important digital applications in the field of aerospace research. The course instructors discuss how digitalisation is impacting and changing both satellite-based and manned spaceflight research. Global Navigation Satellite Systems (GNSS) for efficient and flexible air navigation Satellite Navigation (GNSS): A Solution for everything?...
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Design Thinking and Predictive Analytics for Data Products
by Julian McAuley , Ilkay Altintas- 4.5
Approx. 8 hours to complete
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. Course Materials Features from Categorical Data Features from Temporal Data Supplementary Notebook for Features...
Linear Regression for Business Statistics
by Sharad Borle- 4.8
Approx. 28 hours to complete
Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction. A Regression Application Using Refrigerator data A Regression Application Using Refrigerator data (continued. Building Confidence Bounds for Prediction Using a Regression Model...
Data Science Ethics
by H.V. Jagadish- 4.8
Approx. 15 hours to complete
You will examine the need for voluntary disclosure when leveraging metadata to inform basic algorithms and/or complex artificial intelligence systems while also learning best practices for responsible data management, understanding the significance of the Fair Information Practices Principles Act and the laws concerning the "right to be forgotten. Data Science Ethics - Course Preview...