The data scientist career path is on the rise and SpringBoard’s Data Science career track will help you learn all that you need to start a new career in the data science field.
If your understanding about Data Science is a big question mark, i've got a one practical read for you about How to Learn Data Science with Python (Statistics and Maths).
Get a job, or your money back, through Springboard’s mentor-guided online bootcamp.
With a job guarantee, if you don’t land a job within six months of graduating, your tuition will be refunded.
Springboard’s Data Science Career Track graduates who accepted new jobs reported an average annual salary increase of $23,000.
And through the deferred tuition program, students can enrol for a small deposit and finish paying after starting a job.
Data Science Career Track is designed for people with some experience in statistics and programming.
This is a perfect Data Science career track for software developers, analysts, and finance professionals.
All professional and academic backgrounds are welcome, however.
Halfway through the track, you will have the option to choose a specialization that aligns with your career goals: advanced machine learning, natural language processing, or deep learning.
Throughout the program and into your job search, you’ll have support from your one-on-one mentor (a working data scientist), as well as Springboard’s career services team.
-Overview of the Python data science stackCollect and transform data using APIs, Pandas, SQL, and NoSQL
-Use machine learning to make predictions
-Scale your analysis using Spark and large data sets
-Create real-world business impact through effective data storytelling
-Show your work to future employers through your GitHub portfolio
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We hope you will learn all the important skills and also get the personalized guidance you need to land the job you want.
You may also be interested in reading 5 Must-have skills in Python for every Data Scientist or may consider starting with one the Best (and Affordable…) Data Science Courses to learn and upgrade your skills.
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Wishing you the best with your career!
Originally published at sinxloud.com on December 30, 2018.