Providing instruction in technology, web design, and data management, the London Academy of IT serves students in the greater metro area along with online learners over the UK. Unlike most tech companies in the region, the LAIT offers a wider variety of programming classes including C, C++, Python, and Java, to name a few.
More about London Academy of IT
In this class, students will learn important SQL skills. These include creating databases, querying data, aggregating, and working with subqueries.
This course will take SQL skills to the next level with a review of built-in functions, subqueries, windowing, Dynamic SQL, temporary tables, stored procedures, and other advanced SQL features and processes.
In this class, participants will learn everything they need to know to create data science projects with Python. This includes how to set up an environment, data extracting, the data cleaning prcess, and building predictive models.
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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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