Data science is a common career option today. This comes as no surprise, given the rapid rise of technology and SaaS companies worldwide. There are more than 25,000 available data science jobs, according to Indeed.
Moreover, we’re producing and collecting countless amounts of data on a daily basis—so much so that CEOs, stakeholders, and founders don’t need to be convinced that data is the new king.
In fact, they’re seeking top-notch data science students to help them access, prepare, and act on their abundance of data. However, there’s one big problem: There aren’t enough data science candidates with talent and knowledge.
This shortage of viable data analysts means your income potential, as a data science student, is higher than ever. Keep reading to learn some of our best advice for budding data science students, including what tools for data science you should have in your back pocket.
The Top Trick to Landing Any Data Science Job You Desire
We’ll cut to the chase: Becoming a Google Sheets and Excel power use is the best way to get hired by your top companies.
If you’re an undergraduate or graduate student currently studying data, analytics, or financial analysis, mastering Excel and Google Sheets is essential to your career growth. Here’s why.
1. You are versatile as a data scientist and financial analyst.
There are numerous high-powered business intelligence (BI) tools on the market, but it’s no secret that those solutions are expensive. Small to mid-sized companies rarely have the budget to invest in enterprise BI tools that cost thousands of dollars per year.
Those same businesses do need to be data-driven in their strategy, though. Those hiring managers want to work with analysts that can perform their analytics and data science work in basic tools for data science like Excel and Google Sheets.
If you interview for a data engineering or financial analyst position and tell the team that you can conduct your work without expensive tools, that makes you a very appealing candidate. On the other hand, if you require expensive software licenses before you even join the team, it could hinder your chances of getting a data scientist role.
2. You can build Excel dashboards for Finance.
For students in the finance and financial analytics field, becoming an Excel power user is crucial. Banking and financial institutions are less on-trend—meaning they use standard tools like Microsoft Excel but not advanced analytics tools on the market today.
To impress a hiring manager for a financial analyst role is to showcase your Google Sheets or Excel financial dashboard abilities. Consider creating a portfolio of your Excel analyses and dashboards. The ability to visualize your value will help solidify you as a top candidate.
3. You can transfer knowledge easier.
In any data analyst role, there will be transitions. That’s the nature of a business—especially a tech business. Whether you leave a role for a new position or get promoted, you will need to transfer your knowledge to someone when you leave. This is one of the most time-consuming things to do.
However, if your analysis work takes place in a common tool like Excel or Google Sheets, it will streamline your knowledge transfer. Most people have exposure to Excel and basic spreadsheet methodology.
Conversely, if you have to transfer knowledge of a proprietary tool to someone who has no prior exposure to it, this process takes much longer.
4. You can enable delegation.
Being an Excel or Google Sheets expert allows you to delegate tasks without too much hassle. Imagine you’re working in a commonly-known tool like Excel, and your workload explodes. You could have an intern step in and help with some of the dashboard creation and analysis.
While Google Sheets and Excel may not be the flashiest data analysis and dashboarding tools on the market, they’re by far the most recognized and tested. Solidifying your knowledge of basic spreadsheet technology is the best step you can take when securing a career in data science or analysis.
Spreadsheets: A Favorite Among Tools for Data Science Students
New tools for data science emerge daily that offer Excel add-ins and Google Sheets add-ons. There are now plugins that allow you to connect to any database from within your preferred spreadsheet.
You can also automate lengthy queries and save manual work. This means you’ll become an efficient data and financial analyst and have time to offer what companies really want: valuable insights.
See how Kloudio can become one of your favorite tools for data science.