Jedha provides bootcamps to show students how to begin a data-related career. This school groups similar data subjects into three sections that students can choose from. Many graduates go on to achieve unique professional goals such as managing a data team, a cybersecurity team, or launching an artificial intelligence project.
More about Jedha
Fifty hours of training in the essentials of data science and data analytics prepare graduates for a career change or advancement in this training. Topics include data visualization, SQL, statistics and Python, A/B testing and web analytics, and machine learning.
In this seventy-hour program, students are taught how to master the skills of a data engineer. Students will code in Scala, work with Spark, work with the ETL process, and examine DevOps skills.
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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.
Data is information that is collected through observation and used to inform discussion, reasoning, or planning.
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