Learn python for data science
[DOC File]Course Resources: - University of Southern California
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Learning to manipulate large data sets. Learning Objectives and Outcomes. This course is designed to serve as an introduction to computer science concepts and basic programming skills that are specifically geared toward data science, and forms a part of the introductory coursework for a Dat Science degree.
[DOCX File]DATA SCIENCE ONLINE TRAINING
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Data means raw bit of information on the other hand science means some scientific method, so when we apply some scientific method on raw bit of information, it called data science. Scientific methods can be applying some computer science techniques, statistics, machine learning, visualization, collecting, cleaning, analyzing and interaction on ...
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MIT xPRO courses are created and taught by MIT faculty, and are optimized for learners who are full-time professionals. Their data science course was created by the Institute for Data, Systems and Society (IDSS), and includes 20 case studies, hands-on-projects, and access to cutting edge, research-based multimedia content developed by MIT professors and industry professionals.
[DOCX File]Use Case #6: a) - NIST
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Python is slightly easier to learn than R, but does not have quite the depth in development community as R (Jain 2014). The following. are . examples of python packages. that can be considered foundations. in data science; Numpy, numerical packages. Scipy, scientific computing packages. Matplotlib, presentation packages. Other data science ...
[DOCX File]Skills - GitHub Pages
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I enjoy solving problems, providing data driven insight and continually expanding my knowledge. Data are only as valuable as the insights gleaned from analysis and I excel at using the python data science software ecosystem for data analysis, prediction, visualization and storytelling.
[DOCX File]Homepage | Boston University
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Working in data science requires an understanding of many interdisciplinary concepts, involves data mining and application of various methods. The proposed course is designed to fill this need. Students will learn major Python tools and techniques for data analysis.
Accelebrate
Learn the advantages of cloud-based machine learning over local environments. Create programs to learn core Python concepts such as data types, functions, classes and control structures, which are necessary to effectively practice data science …
[DOCX File]Big Data Machine Learning - Carey Business School
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Focus will be on understanding the subtle differences in each technique. This course will be hands-on with weekly homework assignments and a final presentation geared towards fully immersing students in the data science process. Students will program in Python (e.g. Pandas, NumPy, Scikit-Learn, Matplotlib, pattern, NLTK, etc).
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