The process of organizing and thinking about data is key to understanding what the data does and does not contain. There are a variety of ways in which people can approach data analysis, and it is notoriously easy to manipulate data during the analysis phase to push certain conclusions or agendas.
Beginner Python and Math for Data Science March 11 to April 18 Mondays and Thursdays Nathan Grossman Instructor As a former engineer, Nathan enjoys data science because it allows him to apply the mathematical skill set he developed designing algorithms for individual products to optimize the behavior of entire organizations.
Nathan began his career developing signal processing algorithms for wireless communications at Qualcomm. He subsequently worked in data analytics for intellectual property applications, and in data science for telecom applications.
Nathan is currently a data scientist at Wells Fargo, working on machine learning for FinTech applications. When not working, Nathan enjoys skiing, cycling, playing tennis and spending time with his wife and three sons.
Students only need to be able to install and verify the installation of Anaconda for Python 3 by running a "Hello World" sample code. Considering our immersive data science bootcamp? Professional development alumni can apply the amount of tuition paid for one part-time course towards enrollment in an upcoming bootcamp upon admittance.
Learn how Jupyter Notebooks work, and cover the basics of programming including data structures, data operations, if else statements, for and while loops, and logical operations. Week 2 Python Advanced Learn advanced functionality in Python, including functions, debugging, error handling, string manipulations, and writing efficient code.
Week 3 Python Mathematical Libraries Learn about using libraries that are useful for data manipulation and visualization.
Specifically, we will be using NumPy, Pandas, and Matplotlib. These libraries will allow us to load and save data, manipulate data such as aggregating, filtering, detecting outliers, and visualizing. Week 4 Linear Algebra Learn the fundamentals of linear algebra, including vectors, and vector manipulations, matrices and matrix manipulations, linear equations and solutions, eigenvalues and eigenvectors.
Week 5 Calculus and Probability Learn the fundamentals of calculus and gain an intuition for derivatives, integrals, determining local maximum and minimum, and limits.
Similarly, we will cover an introduction to probability and learn about random variables, mean, variance, probability mass and density functions, and cumulative distribution functions.
Week 6 Statistics Learn the basics of statistics and its applications.
Live Online Interactive Learning Learn from world-class data science practitioners. Our Live Online instructors bring deep industry experience from a broad range of industries and companies including Viacom, Spotify, and Capital One Labs.
Interact with instructors and classmates in real-time. This course is truly live, which means you can interact with the instructors and your fellow students in real-time.
Stay engaged by asking questions and participating in polls and conversations, and join your course Slack channel for additional support, communication, and collaboration. Learn online without sacrificing the value of live instruction. The world is your classroom.
Log in from wherever you are and gain access to live, interactive data science instruction that will push your career further in the right direction. Earn CEUs for accredited courses.
Our courses are accredited by ACCET, who requires we maintain high standards in areas such as quality of instruction and positive student feedback.Data Analysis – Sample Golf Course • The data presented is a course that we visited this summer and course design features • Run more controlled studies at Robert Trent Jones Golf Trail in Alabama.
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The Hierarchical Data Model. The Hierarchical Data Model structures data in a tree of records, with each record having one parent record and many children. The Anatomy of a Golf Course: The Art of Golf Architecture [Tom Doak, Ben Crenshaw] on pfmlures.com *FREE* shipping on qualifying offers.
Behind every golf hole lies an influence on every golfer's game that few golfers ever contemplate: the course architect. Why a .
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