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SpringUp
IN TECH
Upskilling
Data Fundamentals
Expert Training in Highly Valued Skills
Our Courses
What is Upskilling?
Upskilling means improving your skills. This could be your technical skills, such as your ability to code, write SQL, etc. It could also be your softer skills such as communication skills, presentation skills, and ability to deal with ambiguity. Upskilling empowers you with the skills and knowledge and skills needed to thrive in todays dynamic work environment.
Our Philosophy
It's proven that the best way to learn is to have a compelling project to work towards, one that is exciting and challenging. This has been validated by our own experience & countless of our colleagues and friends. Together, we will work hands-on projects that reflect the real world and ones that you can add to your portfolio!
1
Become Proficient in Databases/SQL
SQL is one of the best investments you can make in your transition to tech. Learn how to manipulate data in SQL, about relationships between tables, Data Warehouses/Lakes, and how to integrate data from different data sources.
Approach
Traditional training in this area focuses on on very specific tasks (which are important), but don't give you the full picture of how databases are used. Our approach focuses on an end to end project, which gives you exposure and develops your skills in the most critical areas. Our approach results in our clients being better problem solvers, having stronger fundamentals, and being more adaptable.
Outcomes
Star Schemas
Confidence with backend
Data Transformation
SQL
Data Granularity
Analytic vs Tranasctional Data
Compelling project to share with Employers
2
Learn How to Tell a Story With Data
The ability to take an open ended question, to tell a story with data, and and drive business action is the essence of data analysis. These skills are highly valued by employers and will get you recognized very quickly.
Approach
We will work on a hands on project that brings together all the aspects of data analysis - the technical component, the narrative, and the presentation aspects. You will develop the ability to take an open ended prompt and create a compelling story, just like you would in the real world. Better yet, you can showcase this as part of your portfolio!
Outcomes
Dealing with Ambiguity
Data Viz
Communication & Presentation
Data Cleansing
Data Storytelling
Compelling project to share with Employers
3
Learn Data Fundamentals with Excel
There are so many technologies out there, but regardless, Excel remains timeless and still a staple in any tech/data role.
Approach
Most people are not using 90% of Excel's capabilities. Excel is an extremely robust platform, which has a tremendous amount features most people are not aware of. It is great for proof of concepts, quick analysis, data reconcillation, and more. We will show you Excel secrets that will build your fundamentals and turn you into a strong data professional.
Outcomes
Pivot Tables
Automation
Proof of Concepts
Data Manipulation
Advanced Functions
Data Reconcillation
4
Leverage the Power of Python
Python is an essential tool in the data space. Whether it's implementing data science models, manipulating data, or automating workflows, Python is a skill that is highly valued by employers.
Approach
We will work on an exciting and compelling hands on project. The project is going to get you comfortable using python libraries, conditional statements, loops, regex, database connectivity, and more. You will have a result that you are proud of can and can showcase in your portfolio.
Outcomes
Pandas & Numpy
Web Scraping
Connecting Python to Database
Conditionals
Building an App
Text Mining
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