Since 1919, City Lit has provided adult education and higher learning. With diverse class listings and dynamic scheduling options, City Lit has a course for every student of all ability levels. City Lit offers courses on its Keeley Street campus in the West End of London or live online, giving students the freedom to choose the learning environment that best suits their needs.
More about City Lit
This class introduces the coding language Python. Students will complete the course knowing how to write Python scripts, handle errors and exceptions, manage Python code libraries, use flow control structures, and more.
This class teaches programming fundamentals including technical vocabulary and programming basics with Python. Students will learn how to produce simple programs by programming sequences, using variables and data types, processing data, performing calculations, and more.
This intermediate class covers creating reusable code, advanced data structures, and graphical interfaces. Students will learn how to build sub-routines, create code libraries with Modules, use lists and dictionaries, and produce programs for Windows, Linux, and Mac.
This class teaches students how to create tables and charts in Excel. By the end of the class, students will know how to format table ranges, create data tables, charts, and pivot charts, and edit charts to achieve desired results.
This class covers the importance of data analysis for business and how complex Excel functions can present data in a helpful way. Students will learn how to use automated budget sheets, calculate and present trends, link data across Excel worksheets, use pivot tables to summarize data, and present data with charts.
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Microsoft Excel is the leading spreadsheet application and data analytics tool. With Excel, you can create charts, tables, automate workflow, track budgets and financials, and much more.
SQL is short for Structured Query Language and refers to a programming language designed for relational databases. SQL organizes data and allows for queries and sorting of data.
Python is an easy-to-read, versatile object-oriented programming language. It is often compared to Java, Ruby, and Perl. It is available under an open-source license and is a favorite among programmers.
Data science is one of the fastest-growing career fields, with competitive salaries and nearly endless opportunities for specialization. Data science uses machine learning algorithms, statistics and other analytic tools to understand data.
Data analytics is the process of analyzing raw data in order to draw conclusions. Data analytics are used to study all kinds of data, including productivity, production, profit/loss and much more.
Machine learning is a subset of artificial intelligence and involves creating programs that learn from data and optimize. Machine learning is prevalent in our everyday lives, from the recommendation engines for music and TV to the search engines and the voice assistants. Machine learning models leverage vast amounts of past data to learn to solve problems on their own and predict future outcomes. With the power and prevalence of machine learning, it is a highly in-demand set of skills, and the field of machine learning continues to grow.
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