We can make these dreams, among others, happen.
Create the next big app
The apps that you see at the top of the charts tend to be those that make great use of machine learning. Machine learning is nothing but the easy concept that machines and apps learn. Big apps like Instagram learn from you. That’s how they recommend pictures that you want to see. Even games like Candy Crush use machine learning to remember your scores and stats. So if you want to build the next big app, this is a skill that’s invaluable to you.
Build a next-gen drone
Drones can do incredible things and they’re only getting more powerful by the day. And they’re not just for the military or for tech geeks! After all, they’re likely going to be delivering selfie sticks to your house in just a few years. As drones run on data through machine learning, it is clearly an essential tool for building them.
You can use data as a guide to proactively manage mechanical systems for oil companies. By doing that, you can protect ecology and provide workplace safety.
Become an agriculturist
Entire agricultural systems can be improved using data and technology. You can disrupt the ways food is produced, distributed, sold and consumed – from farm to restaurant to consumers.
Become an entrepreneur
The famous transportation company Uber is a great example of a data-driven business. It uses the crowd-sourcing of drivers as an operating model and is synonymous with Geo-surge, a data product that uses dynamic pricing to match supply with demand. In this way, data tools can be indispensable for entrepreneurs.
Become a journalist
You can use engaging data as a tool to tell complex, fact-driven stories and to get a message across. Great examples include Hans Rosling’s talks on visualizing world poverty and David McCandless’s popular work in using big numbers to put topics such as public spending into context.
As CEO of a financial trading company I found myself needing the skills of Machine learning to keep our company out in front of the competition. I’m about a quarter way through the course and already working in the IDE. The “Big Picture” is becoming more and more in focus with each class. Sravan has a unique way of conveying information..a real teaching skill…and he genuinely cares about each of his students individually…He has really taken the intimidation factor out of the whole process. It was a great decision to enrolling in D.A…and I can already see that fusing Machine Learning with our current business model is going to one of the best business decisions we’ve made…Its already having a positive effect.John Kulbeth
Each of the five hours of weekend Data Science class passed quickly with his easy way of holding your attention as he imparted knowledge on relevant industry topics sprinkled with interview tips. The classes were very hands-on with real life applications. The classes were very hands-on with real life applications. I walked away from the course equipped, having firmly grasped machine learning techniques and big data framework concepts. If you are contemplating entering the data science career path or already established and want to grow your skill-set and are seeking an option outside of a traditional school or degree program; I highly recommend Divergence Academy. The plethora of course offerings cater to varied levels. Entering as a beginner, I left with a solid foundation from which to launch into the next phase of my data science career.Bimpe Alao
CLASSES & WORKSHOPS
Dive deep with our mentor-guided course designed to fit around your schedule, level up in your career with our 6–12 week, part-time, evening and weekend programs.
Stand-alone jobs are becoming mainstream and getting integrated into other roles. Data Analysis, Social Media, and Business Development are the top three skills for the Hybrid job. Finance & Accounting is more than Math. IT isn’t just about the data. Human Resource professionals need onboarding to social media to business development skills to attract and retain talent. Sales is about being well-versed in all the technical aspects of the particular industry.
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Our attendees come from diverse backgrounds, including software development, management consulting, healthcare, education, project management, finance, oil and gas, telecommunications and more. We are democratizing data science, one company at a time.