Data Analytics Course Overview
Organize & Analyze Data
In this Online Data Analytics course, effectively structure and organize large quantities of data to conduct high-quality analysis.
Identify Dataset Trends
Use a diverse range of techniques and formulas to recognize patterns and uncover relationships between data points.
Build visually dynamic dashboards in Tableau to communicate the results of your analysis.
Take This Data Analytics Course On-Campus
You can take this course in one of our beautiful campuses or online in the comfort of your own home or office.
Earn a BrainStation Data Analytics Certificate
When you complete your data analysis course, you will earn a BrainStation certificate, which can boost your LinkedIn profile and resume, helping you stand out in the job market.
Master Data Analytics Tools
Your Final Data Analytics Project
To earn your certificate, you will complete an industry-minded analysis project on a data set of your choosing. This will be an end-to-end analysis, requiring you to collect and clean data, develop a hypothesis, and analyze your data to prove or disprove it. You will then create visualizations to present your insights in a meaningful way.
What You'll Learn
Learn From Industry Leading Guest Speakers
BrainStation students get access to exclusive guest lectures and panel discussion events led by some of the world's leading subject matter experts and professionals.
Recent Industry Guests
Senior Product Manager at The New York Times
Senior Data Scientist at Squarespace
VP, Digital Strategy & Product at Chipotle
Head of Marketing at Google
Head, Shaping the Future of Media at World Economic Forum
Head of EMEA at Shopify Plus
VP, Brand & Integrated Marketing at Refinery29
GM & VP of Product at Shopify
ECD at Wealthsimple
VP of Marketing at Chief
Chief Product Officer at Ellevest
Co-founder and CEO at Wealthsimple
SVP, Data Science and Engineering at Shopify
Interested in what a typical day looks like?
BrainStation provides an unmatched online learning experience, with a world-class, data-driven learning platform, engaging live data analysis classes that emphasize collaboration and feedback, and comprehensive training and development resources.
Attend Live Data Analytics Lectures
Learn in-demand data analysis skills with engaging live lectures, and then apply them immediately, working on projects in a collaborative, online setting.
Get personalized feedback and guidance from Instructors with experience working in the field.
Build real-world connections collaborating with like-minded professionals and experts from around the world.
Use Synapse, BrainStation's intuitive, data-driven learning platform to access course content, as well as additional quizzes, challenges, and resources.
What Our Students Are Saying
What our students say
The highlight was definitely the people. I think that's what makes the class so special.
Max Smillie, Regional Community Lead & Hub Curator at lululemonRead Full Story
Join a Community of World-Class Professionals
When you take a BrainStation data analysis course, you are learning with the very best. Enroll today to tap into a global network of instructors and students at some of the most innovative organizations in the world.
Flexible Payment Options
BrainStation offers some of the most competitive payment options for digital learning, with a range of flexible plans and scholarship opportunities.
To learn more about course fees and payment options, view our course package.
Monthly Payment Plans
Split your tuition into smaller monthly payments.
Get your tuition reimbursed by your employer.
We offer a range of scholarships to make learning more accessible.
Please be advised: all scholarships must be approved and applied prior to enrollment in a BrainStation course or program.
Frequently Asked Questions
What is the difference between data analytics and data science?
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.
Will I earn a data analytics certificate from this course?
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.
What payment options do you offer?
BrainStation offers some of the most competitive payment options for data analysis training, with a range of flexible plans and scholarship opportunities.
Monthly payment installments
Allowing you to split your tuition into smaller monthly payments.
Get your tuition reimbursed by your employer.
We offer a range of scholarships to make learning data analysis more accessible.
- Monthly payment installments
Are there any prerequisites for this data analytics course?
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.
What kind of backgrounds do people have that take this course?
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.
What tools and programming languages do we learn?
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.
What is the difference between this and the full-time program?
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.
What kind of jobs will this course get me?
The following roles draw heavily on data analytics and data analysis skills, and can be entry-level, or more senior-level positions:
- Database Administrator
- Data and Analytics Manager
- Digital Marketing Manager
- 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.
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