` Data Science Corporate Training | Soothsayer Analytics

We will have to get used to the idea of a well-written program, created by non-domain experts, supplanting those perceived to have subject matter expertise. Hardware & cloud computing are cheaper, algorithms are increasingly powerful, open source libraries are more prevalent, and knowledge is becoming increasingly democratized. These factors are enabling unprecedented innovation in Data Science, where a small team of A-players can now surpass what previously required a huge team & budget. For organizations that want to develop an internal Center of Excellence, Soothsayer provides custom Leadership & Technical courses in Artificial Intelligence, Big Data, and Data Science more broadly.

Designed for decision makers, our Corporate Training in Artificial Intelligence topics provides the how-to of identifying and framing business problems through the lens of Data Science.

Data Science Corporate Training
Your team will learn to:
  • Identify & prioritize problems in terms of pain vs. gain, complexity, and resource/budget constraints.
  • Develop reasonable timelines & milestones to track performance
  • Identify risks & proactive mitigation strategies
  • How to holistically assess the success of Data Science projects.

Soothsayer regularly conducts advanced Data Science Technical Courses that enable corporate practitioners to methodically identify, break-down, and build solutions/models to solve any Data Science problem. Each program is customized to your organizational objectives and can span:

  • Advanced Artificial Intelligence & Machine Learning Techniques (e.g. Deep Learning, Evolutionary Algorithms, Computer Vision, and NLP)
  • Big Data & Data Lakes
  • Solution Architecture & Blueprint Design
  • Technical Implementation & Results Visualization
  • Data Science Project Management
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What Your Peers Have To Say:

The session was my gateway into understanding more about the advancement of analytics and the relevance to our industry. The session was enlightening and brought plenty of practical examples to solidify the concepts being presented. Dr. Murthy did a great job of orienting the subject to the industries represented in the room. In addition, he was passionate about the subject. The session attracted industry leaders at varying levels of implementation maturity which further enriched the conversation.
I would highly recommend the A.I. Leadership Seminar based on my experience at the last session. A very informative and actionable day spent on Deep Learning technology.
The Deep Learning & Artificial Intelligence course is both transformational and practical. Dr. Murthy is a visionary and the best teacher of Data Science that I have encountered. It was worth every minute of my time. Soothsayer has inspired our Data Science team to transform from good to great!
The training was amazing and extremely well received across the board. This speaks to Soothsayer’s ability to tackle complex topics and break them down in a way that people at every level can understand and appreciate. Many participants reported that it was the best training that they had ever attended. Multiple use cases, tactical improvements, and the ability to leverage state-of-the-art Analytic techniques have come out of it.
A worthwhile (productive, informational, and thought-provoking) working session for me a few months ago. I would recommend it to other leaders in BI and Data Science functions, as well as in IT, strategy, marketing, sales, finance, and operations.
If you are a business leader interested in better understanding AI and Deep Learning, I would recommend attending this session. After attending a session in Columbus, I now have a much clearer understanding of its value to our business and have developed a road map to guide the business.
Soothsayer’s executive overview of the current state of Deep Learning, what it is, how it works, what can be done with it and where is it headed is excellent. I highly recommend this for anyone who is interested in Artificial Intelligence and understanding the implications for their business.

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