Data science for Professionals
Data Science for professional course geared towards business professionals from all backgrounds.
Class Introduction
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Data Science for Professionals is a 5-day program designed for working professionals who oversee a team of data scientists and/or will be interacting with practitioners to guarantee the success of projects. This executive course allows professionals to understand the workflow, help identify problems as they arise in the workplace, & speak the language practitioners use. Our field experts explain which technologies are the newest & relevant to their industry. This course allows for the professionals to build their knowledge to apply these technologies to move forward in the implementation at their own company.
Program Highlight Overview:
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1
-Pre-Work
Python, Stats, SQL, Web.
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2
-Student Portfolio development
LinkedIn, blog, GitHub, Masterminds, data story telling, partner corporations introductions and networking.
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3
-Machine Learning
Includes Advanced ML with 3 PBL Projects, and 2 Kaggle Challenges.
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4
-Deep Learning
Major 3 Libraries: Theano, TensorFlow and Keras, NLP using Dl, NLP Times series.
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5
-Big Data & AWS Platform
ML Modeling Spark, Splunk, AWS AMI Deep Learning, NLP.
Get In Touch
TDM Recognition & Credibility
Class Duration: 5 Days
Days:
The program runs Monday–Friday, and features 100 plus hours with theDevMasters team (70 hours in-class, 20 hours pre-class, and 30 hours of post-class mentoring).
Time:
Irvine starting August 26, 2019 at the Brandman Irvine Campus. Walnut Creek starting November 4, 2019 at the Brandman Walnut Creek Campus. Los Angeles starting November 11, 2019 at theDevMasters Los Angeles office.
Locations:
Los Angeles, Orange County, Bay Area
Price: $4,995 (Financial options available)
Prerequisites and Requirements:
Please call or email us to see if you qualify.
Do you offer a Certificate?
Yes
Why you should take this class?
This 5-day course if geared towards executives and managers who need an understanding of the concepts behind the algorithms being built. This course is not designed for practitioners. We offer unlimited repeat for this program; therefore, you can come back to experience the program as many times with as many different people, as you wish.
How to Register?
Please contact our office to see if you qualify and for registration information.
Our graduates backgrounds include: marketing, engineering, healthcare services, insurance, education, real estate, manufactuing, e-commerce, sports, on demand services, etc.
Class Size:
5-10
Who is best suited for this class?
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C- Level - CEO, CTO, CIO, CISO or any other CXO
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Funding - Venture Capitalists, Angel & Seed Investors
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Bankers Investment Banker, Consultant & Advisors
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Entrepreneur, De- centralized, App and Application Developers
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Data Scientist, ML and AI professionals
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Business Managers (Engineering & Management)
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Software Architects, Developers, Programmers
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Application Architects, Design, Code
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Cryptocurrency and Blockchain Professionals
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Security Professionals, Administrators
Our graduates backgrounds include: marketing, engineering, healthcare services, insurance, education, real estate, manufactuing, e-commerce, sports, on demand services, etc.
Class Size:
5-10
Applied Labs
Simply defined, Applied Labs is not your typical classroom or boot camp style learning. In Applied Labs every assignment and project is designed to build your programming, analytical, statistical, and domain expertise skills. We focus on peer-to-peer learning, bringing statisticians, programmers, and domain experts and entrepreneurs together to learn from each other.
Who should attend this program?
This program is geared towards business professionals from all backgrounds; please contact our office to see if you qualify and for registration information.
This program is very fast paced, and while we do everything in our power to ensure all students keep up we’d recommend students who anticipate needing extra time to consider one of our other programs such as Mastering Applied Data Science. As with our other programs we’re proud to offer our 100% repeat guarantee – you’re welcome to return for another session for free in case you’d like to review any of the content.