This two-day, role-specific course presents additional topics and a deep dive into select subjects for the Data Engineer through the lens of the data engineering lifecycle. The course covers Snowflake concepts, features, considerations, and best practices intended for stakeholders who will be accessing, developing, and querying datasets for analytic tasks, and building data pipelines in Snowflake. This course consists of data engineering concepts delivered through lectures, demos, labs, and discussions.
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This three-day role-specific course covers key concepts, features, considerations, and Snowflake recommended best practices through the lens of the data engineering workflow. It is intended for participants who will be accessing, developing, and querying datasets for analytic tasks and building data pipelines in Snowflake. This course consists of core data engineering concepts delivered through lectures, demos, labs, and discussions.
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This four-day course covers the core concepts, design considerations, and Snowflake recommended best practices intended for critical stakeholders who will be working on the Snowflake AI Data Cloud. The course consists of lectures, demos, and labs covering a wide range of essential topics.
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Data Wrangling & Exploratory Data Analysis with Python
Data wrangling and exploratory data analysis (EDA) are essential steps in any data science or analysis project. This four-day course is designed for beginners and provides a comprehensive foundation in data preparation and exploration using Python. Participants will learn to clean, transform, and gain insights from real-world datasets, making them well-equipped for data-driven decision-making.
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SQL for Data Science
SQL (Structured Query Language) is the backbone of data retrieval and manipulation for data scientists. This two-day course is designed for beginners, providing essential skills for working with databases. Participants will learn to write SQL queries to extract, analyze, and manage data, a fundamental skill for anyone in the field of data science.
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Python for Data Science and Analytics
Python has become the go-to language for data science, and this three-day course is designed to introduce beginners to the world of data analysis, visualization, and machine learning using Python. Participants will gain hands-on experience with Python libraries and tools essential for data science, empowering them to embark on a data-driven journey.
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CompTIA Soft Skills Essentials is designed to provide learners and employees across industries with a comprehensive understanding of essential non-technical skills required for workplace success. This course focuses on enhancing professionalism, communication, teamwork, critical thinking, and career development, equipping learners with the tools to thrive in professional environments.
Soft Skills Essentials supports competency in critical workplace skills, offering learners a competitive edge in their careers. Learners will receive a CompTIA Competency Certificate upon completion, validating their mastery of the course content.
The course is hosted on the CompTIA Learning platform and follows a skills-based framework aligned with the Progression Model of Learning. It incorporates narrative text, videos, interactive activities, and assessments to ensure an engaging and effective learning experience.
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CompTIA Project Management Essentials gives learners practical tools and best practices for any role, whether they lead initiatives or support a team.
Learn to plan, organize, and confidently complete tasks and projects at any experience level.
Through hands-on practice and realistic AI-powered scenarios, learners will gain practical skills to confidently plan, execute, and complete projects of any size.
Whether they’re overseeing events, driving new initiatives, or juggling multiple priorities, this product equips learners to achieve their goals and stand out at work. No project management experience required.
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CompTIA Data Analysis Essentials is a practical, hands-on course designed for anyone who wants to make better decisions with data, no technical background required. No matter your role, this course gives you the skills to collect, clean, analyze, and share data using everyday tools like Excel and Google Sheets.
Through interactive videos and real-world scenarios, you’ll build confidence turning raw information into clear, actionable insights you can use in any role.
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CompTIA Cloud Essentials is designed to empower business leaders and professionals with foundational knowledge of cloud computing.
This course is tailored for individuals who need to understand the business implications of cloud technology without requiring deep technical expertise. Cloud Essentials equips learners with the skills to align cloud strategies with organizational goals, manage cloud related initiatives, and make informed decisions that drive business success.
Delivered through the CompTIA Learning platform, this course follows a skills-based framework to ensure practical and actionable learning outcomes.
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CompTIA Business Essentials is designed to provide learners from any industry with a foundational understanding of the key concepts that drive businesses of all kinds. This course is ideal for individuals unfamiliar with business terms and metrics who want to gain a core understanding of how businesses operate and succeed.
Business Essentials supports competency in fundamental business skills, offering learners a competitive edge in their careers. The course is hosted on the CompTIA Learning platform and follows a skills-based framework aligned with the Progression Model of Learning. It incorporates narrative text, videos, interactive activities, and assessments to ensure an engaging and effective learning experience.
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CompTIA AI Prompting Essentials is a hands-on, vendor-neutral course designed for professionals at any experience level to master AI skills that drive real workplace results.
Learners develop practical abilities in writing effective prompts, automating routine tasks, and using AI responsibly through interactive, job-focused scenarios, no coding or prior AI experience required.
With a focus on real-world applications, critical thinking, and measurable competency, this course enables individuals and teams to confidently integrate AI tools into daily work, increasing efficiency and effectiveness across industries and roles.
