Search result for Examples of data manipulation Online Courses & Certifications
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Learn R By Intensive Practice
by Selva Prabhakaran- 4.6
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6 hours on-demand video
Gain clear understanding of base R programming concepts and internalise through a lot of practice ✔ Real Data Manipulation Project and Grand Test By the end of the course, you will not only understand how they work but you will feel comfortable to do any sort of data manipulation you can imagine....
$16.99
Privacy in the Western World
by Jan Smits- 4.5
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Approx. 7 hours to complete
We are thrilled to see that you are interested and will provide you with a comprehensive study of this intriguiging subject. After showing you a number of interesting examples of privacy in recent events, this course continues to provide you with an historic introduction, and varying cases and court decisions. Interview with the vice-president communication of Facebook...
Introduction to Healthcare
by Nigam Shah , Mildred Cho , Laurence Baker- 4.8
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Approx. 12 hours to complete
Products and Prescription Drugs Wrap Up - Data and Opportunities for Innovation Quality of Care Overview and Key Organizing Concepts Overview of Some Approaches to Improving Quality Innovation and Data in Quality Improvement Overview of AI applications in delivery of health care services and ethical issues More examples of AI and incentives in health care delivery and payment structures...
Complete Data Analysis with Pandas : Hands-on Pandas Python
by Ankit Mistry- 4.3
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17 hours on-demand video
Hi, I am Ankit, one of the Best Selling author on Udemy, taught various courses on Data Science, Python, Pandas, PySpark, Model Deployment. By the end of this course, you will able to apply all majority of Data analysis function on various different datasets with built in function available in pandas....
$15.99
Machine Learning
by Andrew NgTop Instructor- 4.9
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Approx. 61 hours to complete
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. The Problem of Overfitting Getting Lots of Data and Artificial Data...
Social and Economic Networks: Models and Analysis
by Matthew O. Jackson- 4.8
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Approx. 30 hours to complete
2: Examples and Challenges Optional: Empirical Analysis of Network Data using Gephi or Pajek Optional: Empirical Analysis of Network Data Optional: Empirical Analysis of Network Data 8a: Fitting a Diffusion Model to Data (Optional/Advanced 22:47) Optional: Empirical Analysis of Network Data 4: Proof of Convergence Theorem (Optional/Advanced 10:25) 6: Examples of Influence...
Geodesign: Change Your World
by Prof. Kelleann Foster- 4.7
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Approx. 11 hours to complete
This course includes well-illustrated lectures by the instructor, but also guest lectures each week to ensure you are hearing a variety of viewpoints. Each week you will also be able to examine what geodesign is through interactive mapping that showcases real-word Case Study examples of geodesign from around the globe. Week 2: The Three D's of Geodesign...
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Bioinformatics: Introduction and Methods 生物信息学: 导论与方法
by Ge Gao 高歌, Ph.D. , Liping Wei 魏丽萍, Ph.D.- 4.4
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Approx. 25 hours to complete
A big welcome to “Bioinformatics: Introduction and Methods” from Peking University! In this MOOC you will become familiar with the concepts and computational methods in the exciting interdisciplinary field of bioinformatics and their applications in biology, the knowledge and skills in bioinformatics you acquired will help you in your future study and research....
Probabilistic Deep Learning with TensorFlow 2
by Dr Kevin Webster- 4.7
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Approx. 53 hours to complete
At the end of the course, you will bring many of the concepts together in a Capstone Project, where you will develop a variational autoencoder algorithm to produce a generative model of a synthetic image dataset that you will create yourself. Sources of uncertainty Change of variables formula...
Statistical Inference
by Brian Caffo, PhD , Roger D. Peng, PhD , Jeff Leek, PhD- 4.2
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Approx. 54 hours to complete
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. 04 02 Expected values, simple examples Understand the process of drawing conclusions about populations or scientific truths from data...
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