Data is now an integral part of every business
To be successful in today's business landscape, all companies need to learn how to leverage data to make critical business decisions. Knowing how to "speak data" means more than having the skills to navigate spreadsheets or query databases – it means learning the framework and gaining the mindset to solve problems with data.
Take your Excel skills to the next level by preparing, exploring and cleaning data
Use SQL to write efficient queries and create your own databases
Communicate your insights with powerful stories via Tableau
What you will learn
Learn a powerful framework to understand data, from exploring and managing data sets to performing analysis and communicating insights. Following the data, rather than hunches, enables individuals and companies to make better decisions. You'll go hands-on with everything from spreadsheet modeling to visualization tools and build a final all-inclusive project with your new skills.
Approaching data the right way
If you approach a problem with a solution in mind already, you'll convince yourself it's right and ignore other possibilities. Avoid this and other common pitfalls by adopting a rigorous analytical workflow.
Exploring data for insights
Your business collects a lot of data, but how do you navigate and understand it? Learn how to explore data in Excel and identify the right questions to ask.
Managing data in SQL
Some of the most valuable insights can come from seeing data update in real-time. Learn how to interact with databases and query them for valuable information.
Sharing your insights
Walking through your analysis step-by-step may not be the best way to share a critical finding. Learn how to visualize and present the outcomes of your analysis to stakeholders.
Want more details about Data Analytics Course?
We will send you the full course information to your email
39 hours, real results
Whether you can take time between freelance gigs or a week off to focus on leveling up, this 1-week accelerated format of Data Analytics is designed to boost your career in record time. You'll learn the skills you need to complete hands-on assignments. All lecture content is recorded and available online through our course platform.
You will complete one cumulative project that follows the analytics workflow from beginning to end. First collecting, cleaning, and analyzing a data set, you will also create a presentation to share your findings – all with the support and feedback of industry professional instructors.
We teach market-ready curriculum
All our curriculum is developed with our data science standards board made up of senior leaders from the top companies in the field:
Aaron Black, Chief Data Officer, Inova Translational Medicine Institute Michael Bopp, Head of Enterprise Analytics, Synchrony Financial Christine Hung, Head of Data Solutions, Spotify Mark Jacobsohn, Senior Vice President, Booz Allen Hamilton Domenic Maida, Global Head of Global Data, Bloomberg L.P. David Mavashev, CEO, Nastel Technologies Mainak Mazumdar, Chief Research Officer, Nielsen Shane Murray, VP of Data Analytics and Platforms, The New York Times
Learn more at generalassemb.ly/credentials/standards-boards
Our instructors are top talent who have made a career with the skills they're teaching in our classrooms. They're passionate about teaching and are here to help you learn these skills.
Cortera AI, Deeppixel, BlackBerry
Learn the hardskills
Learn Excel, SQL and Tableau to power your own toolkit
Work with data and perform analysis, getting feedback informed by your instructors' experience.
Work on an all-encompassing project to showcase your new skills and continue forward after the course.
We work with some great partners to provide financing options to our students, including a 6-month deferred payment option that allows students to make no payments until after completing the course. Qualifying applicants can:
- Cover your total course fees
- Choose a term of up to 60 months
- Pay early with no penalties
Traditional term loans are also available. Please contact our admissions advisors if you have questions about financing.
April 16th 2019 - Tuesdays and Thursdays - 6:30pm-8:30pm - 10 weeks, Part-time, - Course
How to apply
Complete the application form
Get all your questions answered by our admissions team
Reserve your spot with a deposit
Come see our campus
Have questions? Want to see the student life for yourself? Book a one-on-one visit with our admissions team and we'll show you around.220 King Street West
Toronto, ON Book A Visit
Why is this course relevant today?
Data is now an integral part of every business. To be successful in today’s business landscape, all companies need to learn how to leverage data to make critical business decisions. It is a requirement for every employee to know how to analyze data. In this course, you will learn how to use large amounts of data to help your company make those critical decisions about strategy.
What practical skill sets can I expect to have upon completion of the course?
This course will teach you how to use large amounts of data to make business decisions. Using Excel and Sql, you will learn how to collect, clean and analyze data from multiple sources including the web, a local file and a relational database. Additionally, you will be able to use this analysis to make business decisions. In this course, you will practice with real world data sets and problems to contextualize how analytics fit into the business world.
Are there any prerequisites for the course?
No, there are no prerequisites for the course. We do provide pre-work before the course starts, which ensures all our students are operating at the same level.
What is GA's standard's board?
General Assembly's Standards Boards aims to develop clear, unbiased standards to define and validate the skill sets we teach. Our curriculum aims to be market-ready so our students are learning the skills that companies want.
Does HST apply to course tuition?
Yes, HST is added to the tuition fees for all of our part-time courses. Full-time, immersive courses are exempt from taxation.