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Introduction to Data Science in Python
by Christopher Brooks- 4.5
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Approx. 31 hours to complete
The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. 50 years of Data Science, David Donoho (Optional)...
Introduction to Applied Machine Learning
by Anna Koop- 4.7
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Approx. 7 hours to complete
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. What about Data Science?...
Solve Business Problems with AI and Machine Learning
by Renée Cummings- 0.0
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Approx. 11 hours to complete
The Data Hierarchy Big Data Data Mining Promote Data Privacy and Ethical Practices Promote Data Privacy and Ethical Practices Module Introduction Data Protection Data Privacy Laws Data Privacy Principles at Odds with Machine Learning Compliance with Data Privacy Laws and Standards Data Sharing and Privacy The Big Data Challenge Use of Data for Unintended Purposes...
Exploring and Preparing your Data with BigQuery
by Google Cloud Training- 4.7
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Approx. 13 hours to complete
Welcome to the Coursera specialization, From Data to Insights with Google Cloud Platform brought to you by the Google Cloud team. I’m Evan Jones (a data enthusiast) and I’m going to be your guide. This first course in this specialization is Exploring and Preparing your Data with BigQuery. Introduction: From Data to Insights with Google Cloud Platform specialization...
Introduction to Accounting Data Analytics and Visualization
by Ronald Guymon- 4.8
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Approx. 19 hours to complete
We then present a FACT framework for guiding big data analytics: Frame a question, Assemble data, Calculate the data, and Tell others about the results. MODULE 3: DATA AND ITS PROPERTIES 1 Characteristics that Make Data Useful for Decision Making Unstructured Data 3 Data Types 4 Data Dictionaries 1 Wide Data vs....
Data Science Masterclass With R! 4 Projects+8 Case Studies
by Up Degree- 4.6
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29.5 hours on-demand video
Data Science by IITian -Data Science+R Programming ,Data analysis, Data Visualization, Data Science: Data Pre-processing Are you planing to build your career in Data Science in This Year? Index, slice, and Subset Data Get your data in and out of R - CSV, Excel, Database, Web, Text Data Statistics - A Must have for Data Sciecne...
$12.99
Intro to JavaScript
by Julia Van Cleve , James Parkes- 0.0
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Timeline Approx. 2 Weeks
Learn the fundamentals of JavaScript, the most popular programming language in web development. lesson 1 Lesson 1: What is JavaScript?...
Free
Data Analytics for Lean Six Sigma
by Inez ZwetslootTop Instructor- 4.8
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Approx. 11 hours to complete
Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. Data and Lean Six Sigma Introduction to Data Analytics for Lean Six Sigma M1-V2 Data and DMAIC M1-V6 Organizing your data...
SQL for Data Science
by Sadie St. Lawrence- 4.6
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Approx. 14 hours to complete
As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc....
Introduction to Clinical Data
by Nigam Shah , Steven Bagley , David Magnus- 4.6
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Approx. 12 hours to complete
This course introduces you to a framework for successful and ethical medical data mining. We will explore the variety of clinical data collected during the delivery of healthcare. Putting patient data on timeline Revisit the data mining workflow steps Ethical Issues in Data sources for AI Secondary Uses of Data How to apply a framework for medical data mining...
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