This is a class for computer-literate people with no programming background who wish to learn basic Python programming.
DurationThis is a class for computer-literate people with no programming background who wish to learn basic Python programming. The course is aimed at those who want to learn “data wrangling” manipulating downloaded files to make them amenable to analysis.
We concentrate on language basics such as list and string manipulation, control structures, simple data analysis packages, and introduce modules for downloading data from the web.
This course is an introduction to data analysis with the Python programming language, and is aimed at beginners. We introduce how to work with different data structure in Python.
We covered the most popular modules, including Numpy, Scipy, Pandas, matplotlib, and Seaborn, to do data analytics and visualization. We use ipython notebook to demonstrate the results of codes and change codes interactively during the class.
NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry. NYC Data Science Academy is licensed by New York State Education Department.
This course provides a thorough introduction to the C programming language. Topics include variables, data types, functions, control structures, pointers, strings, arrays and dynamic allocation principles.
Accelebrate's Reactive Spring with Spring Boot training course teaches experienced Spring developers how to build Spring Boot applications. Attendees then learn how to leverage Project Reactor to build modern Reactive systems.
This course focuses on text manipulation using regular expressions in PERL. Practical application for text manipulation like processing data files and code files like C and Java will be used.
The theory of data analytics has become increasingly popular and important with the ever-increasing amount of information that is being accumulated on a daily basis.
In this course, you’ll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, threading, unit testing, and creating and installing packages and executable applications.
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