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[Intermediate] Spatial Data Analysis with R, QGIS & More
by Minerva Singh- 4.4
5 hours on-demand video
DEVELOP MAD GIS SKILLS AND PERFORM SPATIAL DATA ANALYSIS USING FREE KICKASS TOOLS SUCH AS QGIS, R, GRASS AND GOOGLE EARTH. The underlying motivation for the course is to ensure you can put spatial data analysis into practice today and develop sound GIS analysis skills. This is an intermediate course in spatial data analysis, i....
$19.99
Spatial Data Science and Applications
by Joon Heo- 4.4
Approx. 12 hours to complete
Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. Spatial Data Analysis...
Introduction to Corporate Finance
by Michael R Roberts- 4.6
Approx. 7 hours to complete
This course provides a brief introduction to the fundamentals of finance, emphasizing their application to a wide variety of real-world situations spanning personal finance, corporate decision-making, and financial intermediation. Big Picture Course Motivation Week 3: Discounted Cash Flow Analysis Free Cash Flow Forecasting Free Cash Flow Sensitivity Analysis...
Python and Machine-Learning for Asset Management with Alternative Data Sets
by Gideon OZIK , Sean McOwen- 4.4
Approx. 19 hours to complete
This course is fo you if you are aiming at carreers prospects as a data scientist in financial markets, are looking to enhance your analytics skillsets to the financial markets, or if you are interested in cutting-edge technology and research as they apply to big data. Perform data analysis of real-world alternative datasets using Python....
Introduction to Clinical Data Science
by Laura K. Wiley, PhD- 4.6
Approx. 8 hours to complete
This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. Course Policies Accessing Course Data and Technology Platform Introduction: Clinical Data...
Data Analysis Using Python
by Brandon Krakowsky- 4.5
Approx. 17 hours to complete
This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. Understand and apply core concepts like Data Frames and joining data, and use data analysis libraries like pandas, numpy, and matplotlib...
Forensic Accounting and Fraud Examination
by Dr. Richard Riley, Ph.D , Dr. Richard Dull, Ph.D , John Gill, J.D., CFE- 4.7
Approx. 7 hours to complete
In this course we are going to help you answer the questions: who commits fraud, why and how. Getting the Most from this Course Using Data and Technology for Fraud Detection and Investigation Data Analysis Tools Benford Analysis Availability of Data and Text Analysis...
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Finance for Non-Finance Professionals
by James Weston- 4.8
Approx. 14 hours to complete
This short course surveys all the major topics covered in a full semester MBA level finance course, but with a more intuitive approach on a very high conceptual level. We will walk through all of the tools and quantitative analysis together and develop a guide for understanding the seemingly complex decisions that finance professionals make....
Introduction to MongoDB
by Norberto Leite , Kirby Kohlmorgen , Shannon Bradshaw- 4.3
Approx. 17 hours to complete
This course will get you up and running with MongoDB quickly, and teach you how to leverage its power for data analytics. We'll start by mastering the fundamentals of MongoDB, including MongoDB’s Document data model, importing data into a cluster, working with our CRUD API and Aggregation Framework. Getting Data Into MongoDB...
Data Visualization and Communication with Tableau
by Daniel Egger , Jana Schaich Borg- 4.7
Approx. 25 hours to complete
In this course you will learn how to become a master at communicating business-relevant implications of data analyses. By the end, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders. Use Data Visualization to Drive Your Analysis...