Toronto Data Analytics Course

If you want to become a Data Analyst, you should know this is not quite the same thing as becoming a Data Scientist, which is generally a more senior position involving greater technical knowledge and data science expertise. In fact, Data Analyst positions, and data analysis work, are often considered more entry-level in nature.

BrainStation’s Data Analytics course is a beginner-friendly data course, with a focus on descriptive analytics, industry standard tools and software. The Data Science course, on the other hand, can be considered more of an intermediate-level data science course, as it is more technically demanding, diving further into prescriptive and predictive analytics, machine learning, and programming languages.

Yes, when you complete the Data Analytics course, you will earn a BrainStation Data Analytics Certificate, which can boost your LinkedIn profile and resume, helping you stand out in the job market and when applying for data analysis positions.

BrainStation offers some of the most competitive payment options for data analysis training, with a range of flexible plans and scholarship opportunities.

These include:

• Monthly payment installments

  Allowing you to split your tuition into smaller monthly payments.

• Employer sponsorship

  Get your tuition reimbursed by your employer.

• Scholarships

  We offer a range of scholarships to make learning data analysis more accessible.

BrainStation’s Data Analytics course was created for those who are new to data analysis, and can be considered a beginner-friendly course. There are no set prerequisites for this course, but a working knowledge of Excel is strongly encouraged.

By enrolling in the Data Analytics course, you can expect to learn from an Instructor with experience in the field, and to collaborate with like-minded, ambitious professionals keen to boost their data analysis skills.

80 percent of learners at BrainStation have a post-secondary education, with 20 percent having earned a Master’s degree or PhD.

Professional backgrounds also vary quite a bit, particularly for the Data Analytics course, as data analysis skills are now highly valued across a range of fields and industries, including finance, marketing, healthcare, retail, and more.

Throughout the Data Analytics course, you will learn to work with data more efficiently, starting with taking your Excel skills to the next level.

You will also learn how to organize data within a database, and access it using Structured Querying Language (SQL). Finally, you will use Tableau to develop high-quality dashboards for ongoing monitoring, and present your insights in a meaningful way.

BrainStation’s Data Analytics course is a flexible, professional development course offered part-time, over 26 weeks. Taught by industry experts, the Data Analytics course is a project-based, hands-on learning experience, allowing you to develop data analysis skills and learn the latest data tools and technologies.

BrainStation's Data Science program, on the other hand, is an intensive, full-time learning experience, delivered in 12 weeks. The Full-Time Data Science program at BrainStation builds on past educational and work experiences to transform skill sets and prepare students for a new career in data. Throughout the program, students develop and complete five projects and one major portfolio piece, using real-world data and machine learning. By the end of the program, graduates will have the skills, experience, and portfolio needed to dive into a career in data.

The following roles draw heavily on data analytics and data analysis skills, and can be entry-level, or more senior-level positions:

• Researcher
• Database Administrator
• Data and Analytics Manager
• Digital Marketing Manager
• Statistician
• Transportation Logistics
• Business Analyst
• Systems Analyst
• Healthcare Data Analyst
• Operations Analyst
• Data Engineer
• Data Analyst
• Quantitative Analyst
• Data Architect
• Data Scientist

There are many other variations out there—new applications for data analytics are developed all the time – and even jobs listed here will evolve as data analysis and data science become more prevalent.