Search result for Applied data science specialization Online Courses & Certifications
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Data Science Project: MATLAB for the Real World
by Michael Reardon , Brandon Armstrong , Erin Byrne , Adam Filion , Heather Gorr , Maria Gavilan-Alfonso , Matt Rich , Isaac Bruss- 4.8
Approx. 13 hours to complete
Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. Practical Data Science with MATLAB Data Science Report Requirements Storytelling in Data Science Conclusion of Practical Data Science with MATLAB...
Natural Language Processing and Capstone Assignment
by Dursun Delen , Julie Pai- 0.0
Approx. 5 hours to complete
The Past, Present, and Future of Data Science I Future of Data Analytics The Past, Present, and Future of Data Science I The Past, Present, and Future of Data Science II The Past, Present, and Future of Data Science II Future trends and possibilities in data science...
Basic Data Processing and Visualization
by Julian McAuley , Ilkay Altintas- 4.3
Approx. 11 hours to complete
This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. Review: Data Products...
AI Workflow: Business Priorities and Data Ingestion
by Mark J Grover , Ray Lopez, Ph.D.- 4.3
Approx. 8 hours to complete
Specifically, the courses in this specialization are meant for practicing data scientists who are knowledgeable about probability, statistics, linear algebra, and Python tooling for data science and machine learning. Know the advantages of carrying out data science using a structured process Explain where data science and data engineering have the most overlap in the AI workflow...
Statistics for Genomic Data Science
by Jeff Leek, PhD- 4.2
Approx. 9 hours to complete
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University. Welcome to Statistics for Genomic Data Science Data Transforms (7:31) Combining Data Types (eQTL) (6:04) Statistics for Genomic Data Science Wrap-Up (1:53)...
End to End Data Science Practicum with Knime
by Prof. Dr. Åžadi Evren Åžeker- 0.0
9 hours on-demand video
Applied Data Science Concepts and Techniques with Knime and hands on examples The course starts with a top down approach to data science projects. The first step is covering data science project management techniques and we follow CRISP-DM methodology with 6 steps below: Data Understanding: We cover the data types and data problems....
$14.99
Symmetric Cryptography
by Sang-Yoon Chang- 4.6
Approx. 13 hours to complete
Lastly, we enable the use of block ciphers to support variable data length by introducing different modes of block cipher operations in ECB, CBC, CFB, OFB, and CTR modes. This course is cross-listed and is a part of the two specializations, the Applied Cryptography specialization and the Introduction to Applied Cryptography specialization....
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Optimizing Machine Learning Performance
by Anna Koop- 4.6
Approx. 12 hours to complete
This course synthesizes everything your have learned in the applied machine learning specialization. You will understand and define procedures to operationalize and maintain your applied machine learning model. This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii)....
Introduction to Data Science in Python
by Christopher Brooks- 4.5
Approx. 31 hours to complete
This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python. 50 years of Data Science, David Donoho (Optional) Describe common Python functionality and features used for data science...
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. Data Terminology The Data Science Life Cycle & Tidyverse Ecosystem The Data Science Life Cycle Data Science Project Organization & Workflows Data Science Workflows Project: Organizing a New Data Science Project O​rganize and initialize a data science project...