Search result for Data Analysis Online Courses & Certifications
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Data Visualization with Tableau Project
by Suk S. Brar, M.B.A. , Hunter Whitney- 4.6
Approx. 12 hours to complete
In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way....
Big Data Integration and Processing
by Ilkay Altintas , Amarnath Gupta- 4.4
Approx. 18 hours to complete
At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big data problem needs data integration...
SQL for Data Science Capstone Project
by Don Noxon- 3.9
Approx. 35 hours to complete
Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems. You will choose a dataset and develop a project proposal....
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. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data....
Machine Learning: Clustering & Retrieval
by Emily Fox , Carlos Guestrin- 4.6
Approx. 17 hours to complete
Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each time you want to a retrieve a new document, do you need to search through all other documents?...
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
Approx. 16 hours to complete
In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. You will also learn to apply hyperparameter tuning and cross-validation strategies to improve model performance....
Interprofessional Healthcare Informatics
by Karen Monsen, Ph.D., RN, FAAN- 4.4
Approx. 11 hours to complete
Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will be incorporating technology-enabled educational innovations to bring the subject matter to life. All healthcare professionals and IT geeks are welcome!...
Principles of fMRI 2
by Martin Lindquist, PhD, MSc , Tor Wager, PhD- 4.7
Approx. 9 hours to complete
Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data. Week 1...
Introduction to the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
Approx. 8 hours to complete
This course introduces a powerful set of data science tools known as the Tidyverse. The Tidyverse has revolutionized the way in which data scientists do almost every aspect of their job. We will cover the simple idea of "tidy data" and how this idea serves to organize data for analysis and modeling....
Social Network Analysis
by Martin Hilbert- 4.7
Approx. 10 hours to complete
This course is designed to quite literally ‘make a science’ out of something at the heart of society: social networks. While such network structures always existed, computational social science has helped to reveal and to study them more systematically. In the first part of the course we focus on network structure....