Search result for Data analysis and interpretation specialization Online Courses & Certifications
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The Essential Guide to Stata
by F. Buscha- 4.4
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14 hours on-demand video
Like for other professional statistical packages the course focuses on the proper application - and interpretation - of code. Viewing and exploring data Survival data analysis (Parametric, Cox-Proportional Hazard and Parametric Survival Regression) Panel data analysis (Long Form Data, Lags and Leads, Random and Fixed Effects, Hausman Test and Non-Linear Panel Regression)...
$14.99
Customer Analytics
by Eric Bradlow , Peter Fader , Raghu Iyengar , Ron Berman- 4.6
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Approx. 12 hours to complete
Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions....
Business Statistics and Analysis Capstone
by Sharad Borle- 4.7
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Approx. 7 hours to complete
The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. Your job is to do the relevant statistical analysis and report your findings in response to the questions in a way that anyone can understand. Merging and Cleaning Data for the Capstone...
Data Visualization and Communication with Tableau
by Daniel Egger , Jana Schaich Borg- 4.7
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Approx. 25 hours to complete
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 Salary Data Set, Description, and Analysis Plan Dognition Data Set, Description, and Analysis Plan Dynamic Data Manipulation and Presentation in Tableau...
AI For Medical Treatment
by Pranav Rajpurkar , Bora Uyumazturk , Amirhossein Kiani , Eddy Shyu- 4.7
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Approx. 22 hours to complete
It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine. Intro to Course 3 with Andrew and Pranav Connect with your mentors and fellow learners on Slack Precision and recall and F1 score...
Inclusive Analytic Techniques
by Sarah Kaplan , Brian Silverman , Chanel Grenaway , Karen Sihra, PhD- 4.8
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Approx. 8 hours to complete
Ethical and legal considerations in inclusive data collection First Nations Principles of Ownership, Control, Access, and Possession of Data (OCAP) Quantitative data analysis through a gender lens: data and interpretation Learn quantitative & qualitative research and analysis techniques; explore how to integrate insights from both types of data to generate insight....
Introduction to Machine Learning in Production
by Andrew NgTop Instructor , Cristian Bartolomé ArámburuTop Instructor- 4.8
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Approx. 10 hours to complete
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application....
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Qualitative Comparative Analysis (QCA)
by Fadi Hirzalla- 4.8
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Approx. 27 hours to complete
Calibration with quantitative, qualitative and secondary data Using FsQCA, more about the interpretation of output, and the write-up Using the program fsQCA for the analysis of crisp data (PLUS bonus assignment 7; is not mandatory) Using the program fsQCA for the analysis of fuzzy data (PLUS bonus assignment 9; is not mandatory)...
Communicating Business Analytics Results
by Manuel Laguna , Dan Zhang , David Torgerson- 4.5
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Approx. 7 hours to complete
Developing these models and gaining insights from data do not necessarily lead to successful implementations. In this course you will learn how to communicate analytics results to stakeholders who do not understand the details of analytics but want evidence of analysis and data. Best Practices in Data Visualization Data Visualization Examples...
Experimental Design Basics
by Douglas C. Montgomery- 4.7
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Approx. 13 hours to complete
The course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Unit 1: Getting Started and Introduction to Design and Analysis of Experiments Analyze the resulting data of an experiment, and communicate the results effectively to decision-makers....
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