Career-focused Tech Skill Bootcamps
Little to no experience with coding? These courses can help you get a thorough understanding of Python and MERN stacks, while also teaching you both front end and back end technologies.
By the end of the course, students will have a strong foundation in full-stack development with the MERN stack and be equipped with the skills to build their own web applications. They will also have a personal portfolio website to showcase their work, preparing them for a successful career in the tech industry.
The course is divided into 16 weeks, with each week focusing on a specific topic related to full stack web development with Python. Lectures are scheduled for 2 hours on Mondays and Wednesdays, while lab classes are scheduled for 1 hour on Mondays and Wednesdays, 3 hours on Tuesdays and Thursdays, and 4 hours on Saturdays. Quizzes and projects are integrated throughout the course to assess students' understanding and progress.
If you’re interested in a career in software engineering and cloud computing (or simply just want to sharpen your skills in C# and/or Java), take a look at these courses.
This course is a beginner-level introduction to C# programming and software development. It covers key programming concepts, includes mini-assignments and a group project, and also covers important topics like test-driven development, Azure, and interview preparation. By the end of the course, students will have a strong foundation in C# programming and be ready for technical interviews.
The Cybersecurity Cohort is a 16-week program designed to provide students with the skills needed for cybersecurity roles. The course covers a wide range of topics, including operating systems, networking, cloud security, Python, offensive security, and digital forensics.
This course teaches Java and Cloud Computing with AWS and Springboot. Students learn about programming, building applications, and managing databases, and gain practical experience through hands-on exercises and projects. The course also includes career preparation such as resume and interview skills.
Whether you’re completely new to data analytics or want to dive deeper, we have courses for all levels of experience.
This 12-week course provides a comprehensive overview of data analytics, including data collection, visualization, machine learning, predictive analytics, and prescriptive analytics. Students will learn how to use Python for data analysis and apply various techniques to make informed decisions. The course includes hands-on projects and real-world examples to equip students with the skills and knowledge needed to become successful data scientists.
The "Intro to Data Analytics" course is a 12-week program that provides a comprehensive introduction to the field of data analytics. You will learn how to use industry standard tools such as Excel, Power BI, SQL, and Python to collect, sort, analyze, and visualize data. The course covers data visualization, data quality, and professional development, including job preparation and resume building. By the end of the course, you will have a solid understanding of the data analytics process and the skills to tackle real-world data problems. Whether you're looking to start a career in data analytics or add valuable data skills to your current role, this course is designed to help you achieve your goals.
Little to no experience with coding? These courses can help you get a thorough understanding of Python and MERN stacks, while also teaching you both front end and back end technologies.
The course is divided into 16 weeks, with each week focusing on a specific topic related to full stack web development with Python. Lectures are scheduled for 2 hours on Mondays and Wednesdays, while lab classes are scheduled for 1 hour on Mondays and Wednesdays, 3 hours on Tuesdays and Thursdays, and 4 hours on Saturdays. Quizzes and projects are integrated throughout the course to assess students' understanding and progress.
By the end of the course, students will have a strong foundation in full-stack development with the MERN stack and be equipped with the skills to build their own web applications. They will also have a personal portfolio website to showcase their work, preparing them for a successful career in the tech industry.
If you’re interested in a career in software engineering and cloud computing (or simply just want to sharpen your skills in C# and/or Java), take a look at these courses.
This course is a beginner-level introduction to C# programming and software development. It covers key programming concepts, includes mini-assignments and a group project, and also covers important topics like test-driven development, Azure, and interview preparation. By the end of the course, students will have a strong foundation in C# programming and be ready for technical interviews.
This course teaches Java and Cloud Computing with AWS and Springboot. Students learn about programming, building applications, and managing databases, and gain practical experience through hands-on exercises and projects. The course also includes career preparation such as resume and interview skills.
The Cybersecurity Cohort is a 16-week program designed to provide students with the skills needed for cybersecurity roles. The course covers a wide range of topics, including operating systems, networking, cloud security, Python, offensive security, and digital forensics.
Whether you’re completely new to data analytics or want to dive deeper, we have courses for all levels of experience.
This 12-week course provides a comprehensive overview of data analytics, including data collection, visualization, machine learning, predictive analytics, and prescriptive analytics. Students will learn how to use Python for data analysis and apply various techniques to make informed decisions. The course includes hands-on projects and real-world examples to equip students with the skills and knowledge needed to become successful data scientists.
The "Intro to Data Analytics" course is a 12-week program that provides a comprehensive introduction to the field of data analytics. You will learn how to use industry standard tools such as Excel, Power BI, SQL, and Python to collect, sort, analyze, and visualize data. The course covers data visualization, data quality, and professional development, including job preparation and resume building. By the end of the course, you will have a solid understanding of the data analytics process and the skills to tackle real-world data problems. Whether you're looking to start a career in data analytics or add valuable data skills to your current role, this course is designed to help you achieve your goals.
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