Search result for Applied data science specialization Online Courses & Certifications
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Applied Time Series Analysis and Forecasting with R Projects
by R-Tutorials Training- 4.4
3.5 hours on-demand video
Applied data science with R. The resulting data requires loads of pre-processing and cleaning including missing data imputation. That course is more a step by step guide while this one is an applied and project based one....
$12.99
Business Analytics: Use Data Analysis for Financial Industry
by Grid Wire- 3.6
1 hour on-demand video
Business Analytics: Use data analysis to drive smart financial decisions. Data science is now a mainstream business tool. In the past few years, the ability of data science to deal with a number of significant financial tasks has become an extremely important point. Deploy a structured lifecycle approach to data science problems Real world examples of data science benefiting businesses...
$11.99
AI Workflow: Enterprise Model Deployment
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
Approx. 9 hours to complete
Build a data ingestion pipeline using Apache Spark and Apache Spark streaming This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. Introduction to Data at Scale Data at scale: Through the Eyes of Our Working Example...
Introduction to High-Performance and Parallel Computing
by Shelley Knuth , Thomas Hauser- 3.4
Approx. 18 hours to complete
This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. Data vs....
DeepLearning.AI TensorFlow Developer Professional Certificate
- 0.0
AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models. Learn how to go live with your models with the TensorFlow: Data and Deployment Specialization....
Introduction To Data Science
by Nina Zumel- 3.6
6 hours on-demand video
Use the R Programming Language to execute data science projects and become a data scientist. Use the R Programming Language to execute data science projects and become a data scientist. Understand Data Science to Be a More Effective Data Analyst This course begins with a walk-through of a template data science project before diving into the R statistical programming language....
$29.99
Algorithms: Design and Analysis, Part 1
by Tim Roughgarden- 0.0
6 Weeks
This specialization is an introduction to algorithms for learners with at least a little programming experience. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. Data structures (heaps, balanced search trees, hash tables, bloom filters)...
$149
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Collaborative Data Science for Healthcare
by Louis Agha-Mir-Salim , Leo Anthony Celi , Marie-Laure Charpignon , Kenneth Eugene Paik- 0.0
12 Weeks
Data and learning should be at the front and center of healthcare delivery. The world is abuzz with applications of data science in almost every field – commerce, transportation, banking, and more recently, healthcare. This course provides an introductory survey of data science tools in healthcare through several hands-on workshops and exercises. Principles of data science as applied to health...
$49
Cloud Computing Foundations
by Noah Gift- 4.7
Approx. 19 hours to complete
This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Specialization Project Roadmap: Course 1 Copy Hugo Data into AWS Cloud9 S3 Bucket...
Statistics with R Capstone
by Merlise A Clyde , Colin Rundel , David Banks , Mine Çetinkaya-Rundel- 4.6
Approx. 6 hours to complete
A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question....