Springboard recently took feedback from their network of mentors, PhD-level educators, and active data scientists in the field to wrap up another huge update to the Data Science Career Track —the first course of it’s kind with a job guarantee or your money back—to give students 500-600 hours of learning.
So, what’s new?
Springboard not only provides content that will get you a data science job quickly, but also wants you to have more impact in the role that you land.
Among other improvements to the content and experience, you can now hone your skills in a specific area of expertise by choosing one of three learning paths called Tracks: powerful resume builders making you stand out in the competitive data science market.
1. Generalist: Advanced Machine Learning Track
With topics like Recommendation Systems, Social Network Analysis, Time Series Data and Advanced Data Visualization, the goal of this track is to give you a broad exposure to the possibilities of Data Science beyond the basic algorithms, giving you a solid foundation to tackle a wide variety of problems in ML in many different industries.
2. Natural Language Processing (NLP) Track
Learning this specialization will prepare you to join the revolution in industries such as news and media, marketing, law and others which rely heavily on text data. Common applications of NLP include: text classification (e.g. is this news article fake or real?), sentiment analysis (e.g. how much do customers like my product?) and topic modeling (e.g. what are some common themes people are talking about?).
3. Deep Learning Track
Deep Learning is a set of advanced Machine Learning techniques that powers many of today’s most cutting edge applications, such as image recognition, machine translation, self-driving cars, speech recognition and more. This track is for you if you’re interested in getting into the cutting edge of Machine Learning and AI today, and will prepare you for jobs involving complex and unstructured data, such as images, video, speech and so on.
What’s special for you?
To support your learning, we have partnered with Springboard to give students who enroll in the Data Science Career Track a $500 scholarship when they use the special code: SWITCHUPAWARD
That’s not all Springboard has been up to. In addition to this major course update, Springboard has been hard at work gearing up to launch their newest course: Introduction to Cybersecurity.
Right now, there are about 350,000 Cybersecurity jobs waiting to be filled. To help fill this gap, Springboard has launched Introduction to CyberSecurity. This course prepares those with little to no cybersecurity experience for in-demand entry-level jobs in Security.
With over 40 hours of learning and 1-on-1 mentorship, students will learn the key security concepts to be able to protect systems and organizations against hackers, malware, and unwanted threats. Throughout the course, students gain hands-on experience using cybersecurity testing tools to identify security weaknesses and vulnerabilities so they can apply those same techniques in a real-world setting.
When you graduate, you’ll be able to pass the CompTIA Security+ sy0-501 certification exam and have an understanding of the Cybersecurity industry, acronyms, definitions, and possible career paths.
Are you ready for an exciting and in-demand career in cybersecurity? Learn more about the course and enroll today — the first cohort starts May 7th!
This piece was sponsored by Springboard.
|Locations:||Online, San Francisco|
|Courses:||UX Essentials, AI/Machine Learning Career Track... View All 9 Courses|
|Subjects:||Data Science, UX Design, Digital Marketing, Machine Learning|
Springboard offers self-paced data science courses that can be completed in 2 to 4 months, with one-on-one weekly mentor support. The program costs $499 per month, so students who finish early will pay less for their tuition.