Data Bootcamps Portland, OR

In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's Numpy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake for students to refresh the material.

This course covers the skills needed to become a Data Analyst or Business Analyst, including data analytics fundamentals, visualization with Tableau, using Python to clean and manipulate data, and how to work with relational databases. One-on-one mentoring is included.

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 express their data. 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.

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 data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

Oregon State University's Data Analytics Bootcamp, powered by Fullstack Academy, offers both part-time and full-time online options to suit diverse learning needs. Spanning 10 to 26 weeks, this program dives deep into essential data analysis tools such as Excel, SQL, and Python. Whether opting for the more intensive 10-week full-time course or the 26-week part-time format, students engage in hands-on projects and prepare for industry certifications. This comprehensive approach equips aspiring data professionals with the skills and practical experience necessary for in-demand roles like Data Analyst and Insights Analyst.

This program provides a comprehensive foundation in data analytics in 24-weeks. This course covers the fundamentals of statistics, Python, Tableau, SQL, and HTML/CSS. Graduates of this program will have a robust professional portfolio to get them started in their careers.

Data Science Bootcamp Full-Time gives you 16-weeks of access to its learning platform where you'll learn how to code in Python, conduct statistical analysis, data visualization, and train machine learning models. This course also includes bonus content such as HTML/CSS, JavaScript, Project Management, and Job Placement courses.

Data Science Bootcamp Part-Time gives you 30-weeks of access to its learning platform where you'll learn how to code in Python, conduct statistical analysis, data visualization, and train machine learning models. This course also includes bonus content such as HTML/CSS, JavaScript, Project Management, and Job Placement courses.

This 3-day Excel bootcamp program will provide students with a hands-on learning experience to ensure they have the skills and confidence to work in spreadsheets like a seasoned professional. This course takes learners from beginner to expert user. In the beginner section, students learn the basics of working with spreadsheets and get introduced to formulas, charts, tables, hotkeys, and more. In the intermediate section, students take what they learned in the beginner section but develop those skills and are introduced to new skills, including LOOKUPs, PivotTables, data validation, and more. Finally, in the advanced section, students will build on what they learned in the first two sections while also learning advanced functions, like INDEX-MATCH, working with advanced PivotTable features, and students will learn how macros can help them automate simple tasks.