BrainStation's Data Analytics course was created to help you start your career in data analysis. Earn a data analytics certification while learning high-demand skills used by Data Analysts. Learn how to prepare data, perform data analysis, use data visualization techniques, and more in this Data Analyst course.
Learn live online from experienced industry leaders, for 3 hours a week for 8 weeks.
Learn live from experienced industry leaders
Jason Lee is an experienced professional who brings years of experience into the classroom to teach you essential skills.
Find a class that fits your schedule.
Data AnalyticsCertificate
Sydney
Associate Data Analytics Engineer
Olga
Team Lead, Strategic Insights Analyst
Rishabh
Senior Solution Consultant - Analytics & Data Science
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
Learn Data Analytics Online
BrainStation's Data Analytics courses will help you build the job-ready data skills that are indispensable in today's modern workplace. With more and more data being generated every day, businesses need Data Analysts to analyze data and communicate insights with data visualization tools. Led by experienced data professionals, BrainStation's online Data Analytics Course will allow you to learn data analysis, teach you how to work with industry tools and complex datasets, and help you develop essential data skills and knowledge. When you complete BrainStation's Data Analytics courses, you'll graduate with a polished Data Analyst portfolio of real-world data projects.
Learn Data Analytics Online
Online classroom. Live and expert-led.
Build Data Analytics skills
Ideal for learners looking to upskill.
Get ready for a Data Analytics job
Build an interview-ready Data Analytics portfolio project.
Professional Certificate
Earn a BrainStation Data Analytics Certificate.
Data Analytics Courses
Ready to get started learning data analysis? Take BrainStation's Data Analytics courses online or in-person at any of BrainStation's campuses. See below for our list of upcoming Data Analytics courses.
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 brings years of experience into the classroom to teach you essential skills.
Unit 1
Intro to Data Analytics
BrainStation's Data Analytics courses begin with an introduction to data that covers data concepts and techniques. 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.
Learn Data Cleaning
Learn essential techniques to help you 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.
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 data, along with important techniques for combining and sorting information.
Unit 3
Data Visualization
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.
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 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.
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 effectively communicate the value of your data analysis.
Data Analyst Course Instructors
Instructors in BrainStation's Data Analyst courses are experienced data professionals who work at the world's most innovative companies. In our data analytics classes, you'll learn from experts who have years of data industry experience and who know the most up-to-date and practical data skills companies around the world are looking for.
Yann Kiraly
Product Analyst, Data Science at Google
Isaac White
Principal Measurement Lead at Google
Wenjie Sun
Product Analyst at Google
Olga Milkovska
Senior Insights Analyst at LinkedIn
Nada Salem
Data Scientist & Product Manager at Spotify
Yann Kiraly
Product Analyst, Data Science at Google
Isaac White
Principal Measurement Lead at Google
Wenjie Sun
Product Analyst at Google
Olga Milkovska
Senior Insights Analyst at LinkedIn
Nada Salem
Data Scientist & Product Manager at Spotify
Industry-Led Data Analytics Training
BrainStation partners with industry experts when building all of our courses, ensuring every course covers the latest industry-relevant topics and tools businesses need. We continue to work with our network of experts to update our courses so they're always up to date.
Build Your Data Analyst Portfolio
Showcase everything you've learned with a real-world Data Analyst portfolio project. Every week in your data analytics classes, you'll be provided with clear steps to iteratively develop your final data analysis project. By the end of the course, you will have implemented each step of the data analysis process, leveraged MySQL and data visualization tools, and developed a refined presentation to showcase your work, explain your process, and highlight the different insights found from your data analysis.
View Tuition, Financing Options, and More in the Course Package
View the Course Package to access:
Tuition details
Financing options
Employer sponsorship
Earn a BrainStation Data Analytics Certificate
Upon completing BrainStation's Data Analytics Course, you'll receive an industry-recognized professional certificate to share with your network and showcase all that you've learned. BrainStation certificates are formatted for sharing on LinkedIn.
Learn in our Next-Gen Online Classroom
Instructor-Led, Live Online Courses, From the Comfort of Your Home
In all our online courses, learn from BrainStation's industry-expert instructors through real-time, interactive classes in an engaging classroom environment.
Interactive, Project-Based Learning
Join breakout room sessions in smaller teams as part of the hands-on projects in our online courses, where you will collaborate and learn together.
Community Beyond the Classroom
During your online course, engage with your classmates and instructors in BrainStation’s Slack community, where you’ll receive updates and support. Stay connected and in the loop throughout your online course.
What Our Graduates Are Saying
Dylan Hebb
Senior Consultant at Content Bloom
When you take a BrainStation course, you're learning with some of the very best in the industry. You collaborate with product managers, digital strategists, UX designers, and all kinds of other backgrounds.
Our instructor... was clear, detail oriented, and made the learning environment safe and collaborative. We got a lot of real world examples from him, and all the little details he shared made this entire course special, and more than simply reading a textbook.
Overall, I'm a big advocate for Brainstation's courses - they've proved to be extremely valuable in my career.
Nitin Goyal
Senior Business Value Analyst at Hootsuite
I had heard good things about BrainStation and it is a recognized name in my industry for professionals looking to up-level their skill set... BrainStation has had a big impact on my career, helping me position myself as the 'Data Guy' within my team and make a case for why I should be promoted into a new role.
I learned so much about how to approach real-world problems and examples and create a way to tell a story with data. I learned how to write SQL commands and scripts in our databases, Excel advanced formulas and also how to visualize data on Tableau, all amazing skills to take with you on any career path you choose, I really recommend taking this course!
Join our growing community of 30,000+ alumni.
Data Analytics Certification FAQs
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. A data analytics certification can boost your LinkedIn profile and resume, helping you stand out in the job market when applying for data analyst positions, and can help you become a data analyst setting you up with the foundational skills and knowledge for a successful career in data.
What payment options do you offer?
BrainStation offers some of the most competitive payment options for data analysis training, with a range of flexible payment plans.
These include:
Monthly payment installments
Allowing you to split your tuition into smaller monthly payments.
Employer sponsorship
Get your tuition reimbursed by your employer.
Are there any prerequisites for BrainStation's 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 and prior experience of Excel are strongly encouraged. No other data analytics courses are required before taking this Data Analytics course.
What tools and programming languages do we learn in BrainStation's Data Analytics course?
Throughout the Data Analytics course, you will learn to work with data more efficiently, starting with taking your Microsoft Excel skills to the next level through real-world projects. Many of these skills will also apply to Google Sheets.
You will also learn how to organize data within a database, and access it using Structured Query Language (SQL). Finally, you will use Tableau to develop high-quality business intelligence dashboards for ongoing monitoring and present your insights in a meaningful way.
What is the difference between BrainStation's Data Analytics course and the Data Science bootcamp?
BrainStation's Data Analytics course is a flexible, professional development course offered part-time, over five or 10 weeks. Taught by industry experts, the Data Analytics certificate program 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 bootcamp, on the other hand, is an intensive learning experience designed to transform your skillset and help you launch a new career in data. Throughout the program, students develop and complete five projects including one major portfolio piece, using real-world data, big data, and machine learning. By the end of the bootcamp, graduates will have the skills, experience, and portfolio needed to dive into a career in data.
How long are BrainStation's Data Analytics courses?
BrainStation Data Analytics courses are typically five-to-10 weeks long depending on the delivery format, as students can choose whether to take courses on weekends or evenings.
In that time, you will master core data analytics methodology, gain competence with core raw data tasks like data collection, data mining, and data cleaning, learn the fundamentals of database operations and relational databases, and develop key data visualization techniques.
BrainStation Data Analytics courses are immersive and hands-on, allowing you to complete data analytics projects and graduate with a polished professional portfolio.
Can I take this course online?
Yes, you can take BrainStation Data Analytics courses online.
BrainStation's online Data Analytics certificate course is taught by leading industry experts in a live, interactive classroom environment. Our project-based online course encourages collaboration and communication between classmates, who work together on cross-disciplinary teams to create hands-on projects that eventually become the basis of their professional portfolios.
Students in our online Data Analytics courses connect with each other and instructors alike through BrainStation's industry-leading student learning platform, as well as a lively Slack community, which provides support and updates even beyond graduation.
Data Analytics Basics
What Can I Learn in a Data Analytics Course?
In a data analytics course, you can learn the fundamentals of manipulating and analyzing data, how to leverage data analysis tools and statistical analysis skills to make actionable data-driven predictions, and how to use visualization tools to present and communicate your findings in compelling data visualizations.
A good data analytics certification course should first impart the most crucial and foundational aspects of data analysis and data management, including data wrangling, data modeling, data processing, and data manipulation techniques, while also developing your programming skills with SQL, an essential programming language for data analysis.
From there, students in a data analytics program should master the art of storytelling with data visualizations, learning how to create effective dashboards that will help a broad audience not only visualize data, but understand how data insights can play into business decisions.
What Are the Most In-Demand Data Analytics Jobs?
Some of the most in-demand data analytics jobs include Data Analyst, Business Analyst, Business Intelligence Analyst, Data Engineer, Database Administrator, Data Scientist, and more.
Because the demand to hire Data Analysts is high and expected to rise, most jobs similar to a Data Analyst role are currently in high demand. The U.S. Bureau of Labor Statistics forecasts that the demand for data professionals — defined as computer and information research scientists — will grow 22 percent by 2030, significantly faster than the rate of growth for other job roles. As the average salary for data professionals has also risen, this demand has created plenty of opportunities for those looking to explore a Data Analyst career path.
Job-ready skills in data are also increasingly valued not just in the data analytics field but many other jobs and disciplines, including business analysis, cybersecurity, product management, and more.
How Can I Get into Data Analytics?
To get into data analytics, you should first learn data fundamentals of how to manage, analyze, and interpret structured and unstructured data, consider gaining formal training through the right data analytics certification programs, work on data analysis projects and data visualizations, and finally look for freelance work, internships, or entry-level jobs in data analytics.
Depending on your background, you might have transferable skills that will make it easier to learn data analysis. Given the multi-disciplinary demands of a Data Analyst job, there are a variety of job fields that could help to prepare you to some degree for a career in data analytics, including statistical analysis, web development, computer science, statistical analysis, or even digital marketing, where using Google Analytics and other tools to monitor the success of campaigns is an increasingly important part of the job.
Even if you do have experience in a related field, however, a Data Analyst requires experience with specialized tools, techniques, and strategies that are relatively unique to the field. That's why most consider online data analysis courses and data analytics certifications to be an important step along a data analytics career path.
What Is the Best Way to Stay on Top of Data Analytics Trends?
The best way to stay on top of data analytics trends is to read data blogs and email newsletters, attend networking events and conferences, and join online communities of Data Analysts.
Given the rapid rate of change in the world of big data, being a good Data Analyst requires keeping on top of a number of important trends in the world of data analytics, including artificial intelligence, natural language processing, machine learning techniques, blockchain, real-time analytics, no-code interactive dashboards, automation, and augmented analytics. To do this, there are many worthwhile data-related websites and blogs to follow, and you might even consider delving into research recently published by top Data Scientists.
Networking with colleagues, whether in-person or in robust online communities that exist in places like Reddit, Analytics Vidhya, and LinkedIn, is another essential part of keeping up with data trends. BrainStation regularly holds panel discussions with top industry experts, thought leadership events, and other networking gatherings to give students opportunities to build their professional networks while also discussing the most current trends and issues in their fields.
What Skills Should I Learn for a Data Analyst Career?
Key skills you should learn for a Data Analyst career include data collection, programming with SQL, data cleaning, data management, exploratory data analysis, data visualization, advanced Microsoft Excel, database schema, and more.
Of course, Data Analysts need strong data skills, which means not only having the technical skills necessary to organize, manipulate, extract, transform, and analyze data, but also the business sense to understand how to pull actionable insights from key data points that could help companies make better data-driven decisions.
Ultimately then, many Data Analyst job responsibilities require a combination of soft and technical skills. Learning how to create compelling data visualizations with Tableau, for instance, is not enough. Good Data Analysts also must have strong-enough presentation and communication skills to persuasively present critical data insights in a way that any stakeholder could understand.
How to Prepare for a Data Analyst Course
To prepare for a Data Analyst course, you should look into free online resources on key data analytics methodologies and techniques, gain clarity on your educational goals, and explore the events and resources that could be provided by the school you are planning to attend.
Before you start a professional certificate course in data analytics, you could explore a free online SQL tutorial to build out your database skills, browse the web for great data visualization examples to inspire you, and work on projects with real data.
Ultimately, BrainStation's Data Analytics certificate course was designed to help learners without extensive experience master the foundations of data analytics, but this kind of preparatory work can only help put you in a position to succeed once you begin the course.
Why Is This the Best Data Analytics Course for Me?
BrainStation's Data Analytics course is the best data program because our hands-on, project-based learning experience gives students real-world data experience. The course's innovative curriculum covers the most current-possible strategies and tools, and our live online courses are led by experienced data science professionals with a thorough understanding of what it takes to succeed as a Data Analyst.
BrainStation's Data Analytics certificate course is ideal for learners looking to boost their skills, either to establish a new career in data science or to gain valuable data analytics skills that would be valuable to any number of fields, including product management, business analytics, digital marketing, and web development. As you learn data analytics online, you will collaborate with other students and ultimately get the opportunity to complete real-world data projects that will form the basis of your professional portfolio in data science.
To then help students leverage their new data analytics certificates and expertise to meet their professional goals, BrainStation offers networking opportunities, thought leadership events, and panel discussions featuring experts from our global hiring partner network of top companies.
Related to Data Analytics Courses:
Cybersecurity
With data at the heart of our economy and cyberattacks becoming more frequent and severe, basic cybersecurity knowledge is critical for today's workforce. Learn how everyday technology works, how to operate securely, and how to strategically identify, evaluate, and respond to security risks.
Advance your data skills and gain hands-on experience working with Python – a leading data science tool used throughout the industry. Using data science libraries for Python, perform experiments and advanced work solving real-world problems, by applying regression, classification, machine learning techniques, and more.
Learn the fundamentals of programming with Python - one of the easiest languages for newcomers, and one of the most popular for data projects. Gain hands-on experience working with data sets, writing functions, and using libraries to solve problems, opening the doors to new learning opportunities in the field of data.
The Data Science Bootcamp is BrainStation's flagship Data Science program to prepare you for a new Data Science career. In 400+ hours of learning, go deeper on the basics of data and gain exposure to cutting-edge data science like deep learning, neural networks, advanced machine learning methods, and big data.
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