So you want to get a job in data science?
I’m not surprised. Data science is one of the fastest growing fields today, and one of the best paying.
Jobs requiring machine learning skills are paying an average of $114,000.
The average data scientist makes $105,000 a year.
The average data engineer makes $117,000 per year.
And how much demand is there?
IBM estimates that annual demand for the fast-growing new roles of data scientist, data developers, and data engineers will reach nearly 700,000 openings by 2020.
The harsh reality though is there are a lot of people getting into data science for all these reasons and more. So the question is this…
How do you stand out above the crowd?
Submitting your resume blindly to employer after employer is a losing proposition.
Instead, would you prefer to have employers contact you?
It’s possible, if you have a well crafted data science portfolio.
If you’re not familiar with that term you’re probably asking yourself…
What’s a data science portfolio?
A data science portfolio is an important addition your resume. It demonstrates to employers that you have the actual skills they are looking for.
A well-crafted portfolio contains a number of projects that demonstrate you can use data science to solve a business problem by:
- Importing a dataset
- Preparing the data for analysis
- Performing exploratory analysis
- Training and using a machine learning model (or models)
- Providing guidance based on your results
But what if you don’t have any experience yet?
Experience is unnecessary.
Yes, I just said that.
If you take the following steps, you won’t need experience…
3 Steps To Build Your Data Science Portfolio
Step 1: Take the Portfolio Test
To know what you need to work on you first need to see where you are.
Find out if your GitHub profile fails the “Portfolio Test”.
Step 2: Build Your Data Science Portfolio (Even If You Don’t Have Experience)
As you found out, you don’t need to have experience to start building your portfolio.
Use these directions to learn how to build yours.
Step 3: Attract Employers With Each Portfolio Project
A solid data science portfolio contains a number of projects.
If you have the right blueprint you can make what seems like a lot of work quite simple, and attract employers.
Now Use My Strategies to Enter the Data Science Industry
If you’re looking to get into the data science industry, building your data science portfolio is one of the steps. Find out what else to do with this free ebook.