Accelerate your career with the globally recognized BrainStation Data Analyst Certification (DAC™), through hands-on experience in live courses taught by Data Analytics leaders from global tech companies.
Learn in-person from experienced industry leaders, for 3 hours a week for 8 weeks.
Learn live from experienced industry leaders
Kristo Krugger is an experienced professional who brings years of experience into the classroom to teach you essential skills.
Find a class that fits your schedule.
Course OverviewData Analytics Certification
Sydney
Associate Data Analytics Engineer at Spotify
Olga
Team Lead, Strategic Insights Analyst at LinkedIn
Get Certified as a Data Analyst
Gain essential Data Analyst skills with hands-on instruction from industry leaders working at the best global tech companies like Amazon, Meta, and Microsoft.
After taking the course, I was like: in two years I want to have my data job. But in less than two years I was in my role at Spotify.
Sydney
Associate Data Analytics Engineer at Spotify
After taking the course, I was like: in two years I want to have my data job. But in less than two years I was in my role at Spotify.
Sydney
Associate Data Analytics Engineer at Spotify
Data Analyst Certification (DAC™) Course Overview
DAC-2024Q3
Concepts
Data Analytics Process
Excel Spreadsheets
Data Collection
Data Cleaning
MySQL
Database Normalization
Data Types
Regular Expressions
Data Visualization
Dashboards
Design Thinking
Data Communication
Storytelling
Problem Space Analysis
Data Analysis Lifecycle
Data Analytics Process
Database Normalization
Design Thinking
Excel Spreadsheets
Data Types
Data Communication
Data Collection
Regular Expressions
Storytelling
Data Cleaning
Data Visualization
Problem Space Analysis
MySQL
Dashboards
Data Analysis Lifecycle
Skills
Analysis Strategy
Business Analytics
Data Analysis in Excel
Data Transformation in Excel
SQL
Regular Expressions
Schema Design
Data Management
Data Visualization
Data Cleaning
Key Performance Indicator (KPI) Design
Dashboard Design
Analytics Reporting
Problem Solving
Critical Thinking
Dashboard Presentation
Industry tools
Excel
MySQL
Regex
Tableau
This course is provided by BrainStation Inc. headquartered in Ontario, Canada, and is not required to be registered with the Private Training Institutions Act of British Columbia.
Why Get Certified as a Data Analyst
Taught By Leaders From Top Global Tech Companies
Receive hands-on training from data analytics leaders working at companies like Amazon, Meta, and Microsoft.
Build Your Data Analytics Portfolio
Build a data analytics portfolio that demonstrates your unique expertise and experience.
Globally Recognized By Top Companies
BrainStation certifications are globally recognized by top companies for the most advanced and up-to-date skills.
Data Analyst Success Stories
The highlight of my Data Analytics Course at BrainStation was working with the amazing Instructors, who were willing to go beyond the call to support the learning process.
Nitin Goyal
Senior Business Value Analyst at Hootsuite
Data Analytics Course Start Dates
Take the Data Analytics Certification online or in-person at any of BrainStation's campuses.
Select a time that fits your schedule.
Learn in-person from experienced industry leaders, for 3 hours a week for 8 weeks.
Learn live from experienced industry leaders
BrainStation instructors are experienced professionals who bring years of experience into the classroom to teach you essential skills.
Data Analytics Certification Course Curriculum
Unit 1
Intro to Data Analytics
BrainStation's Data Analytics courses begin with an introduction to data that covers data concepts and techniques to develop your foundational knowledge. You'll start your data learning journey by developing a framework for solving data problems and learning how to prepare and collect data for data analysis. Translate your learnings into job-ready skills by solving real-world problems with a variety of data sets.
Microsoft Excel
Key Skills:
Analysis Strategy
Data Problem Solving
Data Collection
Data Cleaning
Advanced Excel
Apply Data Strategy
Set yourself up for success by approaching data analysis correctly. Learn data analysis and apply strategic principles with an interactive problem-solving methodology to analyze data.
Assess Data Quality and Learn Data Cleaning
Learn essential techniques to help you assess data quality, prepare and clean raw data, as well as reduce bias, in order to support effective data analysis. Explore critical statistical analysis concepts used in data analysis.
Excel Data Analysis
Take your Microsoft Excel skills to the next level, exploring everything from basic formulas to advanced functions and powerful tools that drive efficient data analysis and accurate results.
Unit 2
Database Operations & Advanced Data Analytics
In the next unit of BrainStation's Data Analysis course, you'll go beyond the spreadsheet with relational databases. By learning how to use MySQL – a data industry-standard tool used by companies like Tesla, Netflix, and more – you'll discover how databases are constructed and organized for data analysis. Learn how to write SQL queries through real-world projects to explore a database and perform more advanced operations and analysis.
MySql
Regex
Key Skills:
Exploratory Data Analysis
SQL
Regular Expressions
Data Management
Data Normalization
Database Schema
Learn Database Fundamentals
Working with larger data sets and performing more complex data analysis requires an understanding of relational databases, schema, and other core data concepts used by Data Analysts as part of many industry tools.
SQL for Data Analysis
Explore the foundations of programming languages and learn Structured Query Language (SQL) – the best programming language for data analysis.
Advanced Data Analytics
Learn how to write advanced expressions to help you surface key data points, highlight patterns, and augment your search capabilities within large data sets.
Large Data Sets
Speed up your analysis and reduce complexity by learning a systematic approach to normalize and organize data, create data models, and develop along with important techniques for combining and sorting information within your data ecosystems.
Unit 3
Visualize Data
Completing your data analysis is only the start. In the final unit of BrainStation's Data Analyst course, you'll discover how to present actionable insights effectively through data visualizations by using Tableau, the world's leading business analytics platform. Go beyond simply presenting analysis results by learning best practices in storytelling with data and help drive effective decision-making informed by real data insights.
MySql
Tableau
Key Skills:
Data Visualization
Dashboards
Presentation Skills
Data Communication
Tableau Data Visualization
Use Tableau – an industry-leading business intelligence and data visualization tool – to augment your analysis and distill the most important business insights into clear visualizations. Set custom parameters, filtering, and more when you visualize data to make sure the right data from your business analytics stand out.
Build Tableau Dashboards
Take your Tableau training further by learning all the skills to build and fine-tune a clear, communicative data visualization, tailored to unique business needs. Apply best practices in hands-on projects to create dynamic and easy-to-use Tableau dashboards like professional enterprise data analysts.
Data Storytelling
Data tells a story – what happened, what can happen, and what to focus on next. Learn how to capture the attention of a broad audience, and create Tableau data visualizations that present data findings and effectively communicate the value of your complete analysis to business stakeholders.
Earn Your Data Analyst Certification (DAC™)
Successfully completing BrainStation's Data Analytics Certification course will earn you the globally recognized BrainStation Data Analyst Certification (DAC™), demonstrating your mastery of the latest cutting-edge skills and tools. Add this credential to your LinkedIn profile and resume or CV.
Shareable on:
Your Next Step Towards Data Analytics Certification
View the Data Analyst Course Package to Learn More.
View the Course Package to access:
Tuition details
Financing options
Employer sponsorship
Join BrainStation's Global Alumni Network
With a BrainStation certification, you'll join our global alumni network: a community of accomplished professionals across a range of critical tech skills, including Data Analysts.
30,000+
Global BrainStation Alumni
100+
Countries
Industry-Led Data Analytics Certification
BrainStation's globally recognized certifications are created by industry professionals, for industry professionals. Our network of experts from leading tech companies provide insights and guidance to ensure each certification demonstrates the latest cutting-edge skills and tools.
Location
Learn in the Center of Vancouver
Located in the heart of the tech & retail district, BrainStation is at the center of Vancouver’s business scene, surrounded by the best tech companies in Vancouver. In addition to courses, BrainStation Vancouver offers training sessions, industry events, expert panel discussions, and more.
The Data Analytics Certification (DAC™) at BrainStation is a leading professional certification that verifies your completion of the course. Upon course completion, graduates receive the certificate and become a BrainStation-Certified Data Analyst. A BrainStation certification can boost your LinkedIn profile and resume, helping you stand out in the job market when applying for Data roles. BrainStation has been a global leader in digital skills training since its inception in 2011 and has trained over 30,000 professionals around the world.
Is my professional background a good match for the course?
While in-depth, all of BrainStation’s certification courses are designed to be compatible with individuals from various professional backgrounds. The Data Analytics Certification course is considered beginner-friendly and is open to anyone looking to transition into data analysis, or enhance their existing skills.
What are the prerequisites for enrolling in a Data Analytics Certification course?
BrainStation's Data Analytics course was created for those who are new to digital products or data but are interested in a career as a Data Analyst. The course is designed for individuals looking to transition into a data role or enhance their existing skills. It is considered to be beginner-friendly and requires no prior experience for admission.
Who are the instructors?
BrainStation's Data Analytics instructors are seasoned leaders who actively work in roles at top companies like Amazon, Meta, and Google. They bring real-world experience from working on digital products used by millions, offering real-world examples and unique insights into what it takes to get hired and thrive as a Data Analyst.
What are the classes like?
BrainStation's Data Analytics Certification classes are immersive and hands-on right from day one. You’ll work on real-world projects, use industry-standard tools, participate in group exercises, and develop portfolio content that showcases your skills. Throughout the sessions, you’ll build a strong foundation in data concepts and frameworks, and by the end, you’ll have practical experience and the confidence to continue your journey to your first data or promotion.
How many students are in each class?
We prioritize creating an engaging and tailored learning experience by keeping our class sizes small enough to ensure that everyone receives focused support from the instructor, but large enough that learners have the opportunity to build valuable connections and benefit from the unique perspectives of professionals from diverse industries.
Is the course online or in-person?
Both! You can take BrainStation's Data Analytics Certification course in person at one of our campuses or in an online live format. Whether digital or in-person, you will be participating in a live, interactive classroom environment taught by a leading Data Analytics expert.
Students in our online Data Analytics courses stay in touch with each other and instructors alike through BrainStation's industry-leading student learning platform, as well as a lively Slack community that provides support and updates even beyond graduation. There are several dates and times to offer flexibility for remote learning, and the course is designed to fit around professional schedules. Check out the course kick-off schedule here.
How long is the course, and what is the schedule?
BrainStation's Data Analytics course is typically 4 or 8 weeks long, depending on the delivery format — currently offered in either 8 evening classes or 4 weekend day classes. In either case, the course adds up to a total of 24 hours of training, case studies, projects, lectures, and more. Our course schedule is designed to give you ultimate flexibility with delivery format, days of the week, and length. Check out the course kick-off schedule here.
What kind of roles can I apply for after completing the certification?
After completing the Data Analyst Certification (DAC™), you can apply for roles such as Data Analyst, Business Analyst, Marketing Analyst, Financial Analyst, and Operations Analyst. With experience, you can also pursue advanced roles like Senior Data Analyst, Data Lead, or even Director-level roles depending on your background and industry focus.
How does a Data Analytics Certification compare to a Degree or Master's program?
A certification provides targeted learning and immediate recognition of specific skills, making it ideal for data professionals looking to quickly validate their expertise and stand out in the job market. Unlike a degree or Master’s program, which takes longer and covers a wider range of topics, certifications are streamlined and practical, allowing you to apply new skills directly to your role. This makes certifications a great option for those looking to advance their careers efficiently without the time and financial investment of a traditional degree.
What payment options do you offer?
BrainStation offers some of the most competitive payment options for data analytics training. Payment options include:
Scholarship discount programs
Partial scholarships are available to help with tuition and are subject to eligibility. about these options.
Monthly payment installments
Split your tuition into smaller amounts and pay in installments over 3, 6, or 12 months.
Employer sponsorship
Many learners can have their tuition reimbursed by their employer through established Learning & Development budgets or on an ad-hoc basis.
Can I speak to someone about the course before I start?
Definitely! Our team of learning advisors is here to answer any questions you have. Simply at a time that is convenient for you — we look forward to speaking with you soon!
Data Analytics 101
What is Data Analytics?
Data Analytics involves examining raw data to uncover patterns, trends, and insights that can help guide decision-making. It uses various tools and methods, such as statistical analysis, machine learning, and analyzing data techniques, to transform data into actionable information. This process helps organizations optimize their operations, and data analysts play a crucial role in this by interpreting data from diverse sources like big data analytics and structured databases.
Will a Data Analytics certification help my career path?
Yes, a certification in Data Analytics can significantly enhance your career prospects. It shows employers that you have the practical skills needed to handle and analyze data, which is crucial for data analysts working across various industries. Completing data analysis courses ensures you are up-to-date with the latest industry tools, including techniques like data mining, that make you highly valuable in the job market.
Do I need a degree to become a Data Analyst?
While a degree is beneficial, it's not always necessary to become a Data Analyst. Many employers focus on practical experience and certifications that prove your ability to analyze data and navigate complex data structures. A targeted certification or data analytics courses can provide these essential skills more quickly than a traditional degree.
To become a Data Analyst, start by learning the core skills in data collection, manipulation, statistics, and visualizing data using tools like spreadsheet software. Completing data analytics courses is an effective way to gain structured learning and learn how to use industry tools. Building a portfolio through personal projects or internships will help you secure an entry-level position and grow from there.
What is the career path for a Data Analyst?
A typical Data Analyst career starts data analytics courses and training with entry-level roles such as Junior Analyst, where you learn to manage and interpret data. Over time, you can move into specialized positions like Business Analyst, Data Engineer, or even Data Scientist. As you gain experience, leadership roles like Analytics Manager or Director of Data become accessible.
What are the most in-demand Data Analytics jobs?
The most in-demand jobs in Data Analytics include Data Analyst, Business Analyst, Data Engineers, and Data Scientist. These roles are highly sought after across industries like finance, healthcare, and tech. As organizations increasingly rely on data analysts to guide strategic decisions, the demand for professionals who can analyze data continues to grow.
What kinds of skills do I need to get a job in Data Analytics?
You will need both technical and analytical skills to succeed as a Data Analyst. Familiarity with data collection, analyzing data, spreadsheet software, Data Analysis Expressions (DAX), SQL, and Python is crucial, alongside the ability to learn how to use data visualization tools like Tableau. Data analysts must also possess strong problem-solving skills and be capable of interpreting data to present insights clearly to non-technical stakeholders. These skills are achievable through data analysis courses.
Data Analysts use a variety of tools, including SQL for querying databases, Excel for data manipulation, and Tableau or Power BI for visualization. They also use programming languages like Python or R for more advanced analysis, and data mining techniques for extracting deeper insights. These tools help data analysts turn raw data into actionable insights during the data analysis process.
What is a Data Analyst vs Data Scientist?
A Data Analyst primarily focuses on interpreting and analyzing data to inform business decisions, while a Data Scientist uses more advanced techniques, such as machine learning, to build predictive models. Data Scientists typically require stronger programming skills and a deeper understanding of statistics. Both roles are crucial in helping companies leverage data, but they serve different purposes.
A Data Analyst collects, processes, and analyzes data to generate insights that inform business strategies. Their day-to-day tasks include data collection, cleaning data, performing statistical analyses, and creating visualizations to present findings. Data Analysts often work closely with decision-makers to ensure data supports key business goals.
Data Analytics can be challenging, especially when learning technical tools like SQL or Python, but it is achievable with consistent effort and practice. Many find the challenge rewarding, as mastering these skills opens up new career opportunities in analyzing data. The complexity often depends on your background and how much time you dedicate to learning.
Yes, Data Analytics is considered a highly rewarding career due to the growing demand for data analysts across industries. It offers a mix of technical and analytical work, making it both challenging and intellectually stimulating. Moreover, the career offers competitive salaries and strong growth potential.
How can a Data Analytics certification help my career?
A certification can act as a fast track to a career in Data Analytics by equipping you with essential, job-ready skills. It not only boosts your resume but also gives you practical experience with industry tools and techniques used by data analysts. This hands-on learning approach makes you more attractive to potential employers in a data-driven world.
View the Course Package to access:
Pricing details
Financing options
Employer sponsorship
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