Data Classes Near Me

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with DataFrames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the material.

In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees will learn the essentials of relational databases, queries, functions, and more. Finally, participants will learn Tableau to create visualizations to present their data clearly. The program is open to beginners and has flexible scheduling options. Tuition includes hands-on training, a free retake, and training manuals for each course.

Earn a Python certification with hands-on training in data analysis, machine learning, and real-world projects to prepare you for the PCAP exam and beyond.

Build a strong foundation in Python, SQL, and machine learning through self-paced, expert-supported training designed for aspiring data scientists. You’ll gain real-world experience through hands-on projects and capstone work that prepares you for entry-level roles in data science and automation.

In this 8-day intensive Data Analytics bootcamp, students with little to no background in data analytics will learn how to use Microsoft Excel, SQL, and Tableau to summarize, display, and discover key insights hidden in data sets. By the end of this bootcamp, students will be able to use Excel to aggregate and summarize data, summarize and analyze data with PivotTables, create charts and PivotCharts in Excel, use SQL to filter and sort large data sets, perform advanced database queries, create visualizations with Tableau, and much more. Students will also be able to reinforce what they learn through the numerous projects they encounter throughout the course. This course also offers a free retake within six months to allow students to revisit any concepts needing to be refreshed and walk away with a much stronger grasp of the material.

Embark on a data-driven career with Utah State University's Data Analytics Bootcamp, powered by Fullstack Academy. This 10-26 week online program, suitable for beginners and those aiming to enhance their skills, delves into critical tools such as Excel, SQL, and Python and guides you towards industry certifications, culminating in a project that prepares you for roles like Data Analyst and Insights Analyst.

Step into the world of data with the University of Illinois Chicago's Data Analytics Bootcamp. In this 10-26 week online program, you'll master the art of data analysis using tools like Excel, SQL, and Python and work towards industry certifications, setting a solid foundation for a career as a Data Analyst or Insights Analyst.

The AI & Machine Learning Bootcamp at the University of San Diego, powered by Fullstack Academy, offers a dynamic 26-week part-time curriculum, welcoming students from various professional backgrounds into the world of artificial intelligence and machine learning. This program blends theoretical knowledge with practical application, using lectures, labs, and projects to equip students with the skills needed for existing roles or new careers in the data field.

The Online AI & Machine Learning Bootcamp at the University of North Florida, a 26-week part-time program powered by Fullstack Academy, offers students from diverse professional backgrounds the opportunity to master AI and machine learning skills. This comprehensive course combines lectures, labs, and projects, utilizing Fullstack Academy's active learning approach to provide practical, real-world tool application, preparing students for careers in the fast-growing data field.

The University of Oklahoma Outreach AI and Machine Learning Bootcamp is a 26-week, part-time program that combines theoretical and practical learning in AI, catering to individuals seeking to balance education with other commitments. This comprehensive curriculum, supported by Fullstack Academy’s active learning approach, empowers students to gain in-demand AI skills through lectures, labs, and projects, fostering both individual and collaborative learning experiences.

The OU Outreach Data Analytics Bootcamp, powered by Fullstack Academy, offers a concise 10-week program enabling working professionals to acquire the skills necessary for a career in data analytics. This intensive curriculum covers Excel, Presentations, SQL, Python, and preparation for industry certifications in Tableau and AWS, culminating in a project that equips graduates for entry-level roles such as Data Analyst and Insights Analyst.

Step into the world of data analysis with Wake Forest University's Data Analytics Bootcamp, powered by Fullstack Academy. This live online program is perfect for both beginners and those looking to enhance their skills, covering essential tools like Excel, SQL, and Python and culminating in industry-recognized certifications and a comprehensive project, paving your way to roles like Data Analyst and Insights Analyst.

Navigate the data-rich landscape with Cleveland State University's Data Analytics Bootcamp, brought to you by Fullstack Academy. In a 10-26 week online journey, this program is ideal for both novices and those seeking skill enhancement, focusing on pivotal tools like Excel, SQL, and Python and culminating with industry-recognized certifications and a comprehensive project, paving your pathway to roles such as Data Analyst and Insights Analyst.

Explore the universe of data with Louisiana State University's Data Analytics Bootcamp, offered in partnership with Fullstack Academy. Suitable for beginners and those looking to upskill, this 10-26 week online program focuses on key analytical tools like Excel, SQL, and Python, leading you towards industry certifications and culminating in a project that prepares you for in-demand roles such as Data Analyst and Insights Analyst.