Catalog

Did you know that data professionals spend up to 80% of their time cleaning and preparing data? Python is the industry’s go-to language for streamlining this process, making it an essential tool for anyone looking to analyze, visualize, and derive insights from data. Master the complete data science tech stack essential for landing a job at the world’s leading companies. This Python for Data Science course takes a structured, in-depth approach, helping you not only learn how to apply data science but also why it matters. Through a carefully balanced mix of real-world case studies and the mathematical theory behind key data science algorithms, you'll develop both the practical skills and foundational understanding needed to excel in the field. Please note, this course is able to be offered in either 3 full day sessions or 5 evening sessions. See the schedule below.

Unlock the power of machine learning and transform your Python skills into real-world impact. With over 91% of businesses investing in AI initiatives, the ability to apply machine learning is one of the most in-demand tech skills today. This hands-on course will guide you through building powerful algorithms using Python’s Scikit-learn library—equipping you to predict classifications, continuous values, and more. Whether you're refining your models with Lasso and Ridge regression or deploying interactive APIs, this course gives you the tools and techniques to apply machine learning confidently in your day-to-day work.

An expert instructor will teach your team how to use Jira reports and dashboards to view and assess progress and identify bottlenecks ahead of time. Your team will learn how to read Jira reports and share meaningful reports and dashboards with stakeholders. They’ll also learn dashboard best practices and pitfalls — including how to ensure your team’s reporting reflects the right metrics (like health, progress, and status) at the right time.

How much does poor software quality really cost? According to the Consortium for IT Software Quality, software defects cost the U.S. economy an estimated $2.84 trillion annually—largely due to issues that could have been caught with structured testing. The Software Testing Course provides testers, QA professionals, software developers, and analysts with the tools to plan, execute, and improve software testing across the lifecycle. You'll learn core testing concepts, techniques for both manual and automated testing, and strategies for testing in various software development frameworks. This testing course is ideal for anyone new to QA or those expanding their role into software testing. Through real-world examples and hands-on practice, you'll build confidence in test planning, defect tracking, and requirement validation using industry-standard tools and methodologies.

Drowning in spreadsheets and scattered data, but struggling to find clear answers? Many professionals waste hours searching for insights, only to end up with confusing reports and missed opportunities. Tableau Desktop: Part 1 provides the solution with a hands-on course that empowers you to connect, analyze, and visualize data, transforming chaos into compelling dashboards and actionable insights—no coding required. With over 90% of the world’s data created in just the last two years, the ability to turn raw information into meaningful insights has become a critical skill. Tableau is the industry-leading platform for intuitive data analysis and visualization, trusted by organizations worldwide. In this course, you’ll learn how to build interactive dashboards, create dynamic reports, and tell clear data-driven stories that inform smarter decisions. Whether you’re new to data visualization or preparing for Tableau certification, you’ll leave with the skills to make a measurable impact.

Professionals who use data visualization tools like Tableau are up to 5x more likely to uncover actionable insights than those relying only on spreadsheets. With the abundance of computational power and storage available, data analysis is no longer limited to specialists; employees across roles and industries can harness data to uncover timely insights, streamline decisions, and drive measurable business success. The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau® software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.

As data acquisition, access, analysis, and reporting are interwoven with our businesses and lives, more and more data is collected about business and personal activities. This abundance of data and the computing power to analyze it has increased the use of data analysis and data visualization across a broad range of job roles. Decision makers of all types, including managers and executives, must interact with, interpret, and develop reports based on data and analysis provided to them. Tableau® software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed on to business data-driven decision makers. These decision makers can use Tableau's tools to explore the data, perform further analysis to find new insights, make decisions, and create customized reports to share their findings.

Use cases provide a structured, industry-standard way of eliciting and documenting visibly observable functional requirements from the point of view of the business. The process enhances communication between business analysts and stakeholders and helps stakeholders articulate their needs in a way other elicitation techniques cannot. It also lays the foundation for user interface design and test case development. This course provides the right blend of knowledge and skills for people to understand and model business use cases effectively. This course has been approved for 14 PDUs | 14 CDUs

Modern organizations depend heavily on the web to perform core business operations such as marketing, advertising, and selling products, providing services, and communicating with customers, partner organizations, and employees. Whatever you're creating on the web, HTML, CSS, and JavaScript™ likely play an important role. These three languages provide the core toolkit for anyone looking to perform web development work. This course covers the fundamentals of web development using these three languages.