Thankfully we have 4 other Data Science Classes for you to choose from. Check our top choices below or see all classes for more options.
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You will need a reliable Internet connection as well as a computer or device with which you can access your virtual class. We recommend you arrive to class 5-10 minutes early to ensure you're able to set up your device and connection.
This class will be held via Zoom unless otherwise specified
Flexible Reschedule Policy: This provider has flexible, free rescheduling for any-in person workshop. Please see the cancellation policy for more details
Learn SQL fundamentals including data types and queries.
With SQL you can answer questions using a database, the ultimate system of record for most organizations. As nearly every industry is moving toward being more data-driven, having this skill will give you a larger role in decision-making wherever you work.
You’ll be introduced to foundational concepts like tables, data types, and queries. Once you understand the basics of viewing tables, you’ll be introduced to more advanced querying techniques like filtering and aggregating. You will be able to drill down into specific cases or step back and see larger patterns. You’ll also learn how to combine information from different tables using join statements and views. The final day of the course will cover advanced techniques like creating subqueries and using timestamp functions.
This course will use Postgres, an advanced open-source database. Concepts from this course will apply equally to other databases such as MySQL and SQL Server, with the minor syntax differences noted during class.
What You’ll Learn
This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
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This class isn't on the schedule at the moment, but save it to your Wish List to find out when it comes back!
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Practical programming classes and workshops for everyone who wants to learn how to code from scratch or practice Python. You will learn how to start using Python, problem solving with algorithms and make dynamic web applications.
No coding experience needed, anyone who would like to learn how to code...
This school has been carefully vetted by CourseHorse and is a verified Online educator.
This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level. It introduces how to work with different data structures in Python and covers the most popular data analytics and visualization modules, including...
Sunday Mar 5th, 1pm - 5pm Eastern Time
This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector...
Sunday Mar 5th, 1pm - 5pm Eastern Time
Machine learning uses interdisciplinary techniques such as statistics, linear algebra, optimization, and computer science to create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention. This class will familiarize students with a broad cross-section of models and algorithms...
Tuesday Feb 7th, 6pm - 9pm Eastern Time
This course is a 35-hour program designed to provide a comprehensive introduction to R for Data Analysis and Visualization. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which to understand the process of...
Saturday Mar 4th, 10am - 5pm Eastern Time
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