Data Analytics Bootcamps Vancouver

This course in data analytics serves as an introduction to data analysis. Professionals who take this course will obtain essential data analysis skills, including the use of Tableau for visualizations. This program offers online and on-campus versions, with instruction by experienced data analysts. Graduates are equipped to solve real-world data problems.

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.

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.

Data Analytics Flex is a 6-month part-time program designed to get you a job as a data analyst. You will begin by learning how to master Excel and storytell with Powerpoint. Afterwards, you'll learn how to query data using SQL and visualize data using Tableau. Once you've mastered these building blocks, you'll receive business case studies to simulate real-world work projects and you'll also be exposed to statistics. Finally, you'll learn how to clean data using Python and work on your capstone project. This program comes with a tuition backed guarantee if you don't land a job within 6 months of graduation.

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, sort data with PivotTables, create charts and tables in Excel, use SQL to filter and sort large data sets, use 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.

This data science program uses project-based learning to teach students data analysis, modeling, and programming in Python. Using Synapse, a data-driven Learning Management System, students will learn how to clean and analyze data, create visualizations, and use the fundamental components of programming to work with Python, Pandas, and NumPy. Students can take advantage of online and on-campus options.

Explore the world of data analytics in this intensive six-week bootcamp. The ability to extract and apply data makes you a valuable team member. Specific course topics include addressing data concerns, determining data collection methods, ensuring data quality, gaining insights from existing data, maximizing tools like Tableau and Excel, and publishing results.

If you want to become a data scientist, you should enroll in this intensive twelve-week bootcamp. Participants learn how to extract data from multiple sources to empower decision-makers. Specific course topics include Python, GitHub, and other data foundations, matplotlib, Seaborn, and other data visualization tools, Flask, Docker, and other data engineering platforms, data wrangling with JSON, SQL, and XML, machine learning models, and deep learning techniques.