Data Science and
Machine Learning Training

Expert, supportive training focused on building clients’ applications.

Unique Approach that Produces Results

Training emphasizes positive instruction by professors from top universities. Courses guide participants through creating real world applications. We encourage participants to bring actual data to build pilot applications.

Hands-on training where participants build their own NLP application using and NLTK. Participants learn AWS architecture, principles of machine learning algorithms, and how to successfully implement NLP for each participant’s unique needs. Participants are guided through the entire process of building working applications, with an expert at their side to resolve real-world problems such as configuration settings, library installation issues, and coding errors.

There are no formal prerequisites, but a strong analytics understanding and exposure to Python is helpful. This course employs AWS, so participants need only bring a laptop. The fee is $2400.

Customer data presents many complex statistical challenges, from atypical distributions and rare events, to censoring and panel mortality, to ambiguous causal pathways. This seminar empowers participants to leverage the latest innovations in data science to address these issues and uncover actionable customer insights. The seminar balances theory and practice. Statistical and methodological issues for each topic are carefully and intuitively explained, and then participants perform guided hands-on examples using Python.

Participants should have basic familiarity with statistics, such as regression and inference. For participants without exposure to Python, we can suggest short tutorials. Fees are $2400.

Lead Instructor

Greg Adams, Ph.D. is a widely recognized data science leader who has created machine learning, NLP and statistical applications for ecommerce, financial, and manufacturing clients globally. His work has appeared in New York Times, Washington Post and MSNBC.

Classes translate complex topics into approachable, easily understood lessons. Greg works with each student to ensure they can effectively build effective applications.

Greg served on faculty at Carnegie Mellon University. Earlier, he was a Robert Wood Johnson Scholar at University of Michigan and completed a fellowship at Harvard University. Greg holds a Ph.D. in political economy from University of Iowa.

Data Science for Customer Insight

New York City, March 16-19 – CANCELLED

We will contact registered attendees about rescheduling.

NLP with Deep Learning

Chicago, April 6-9 – CANCELLED

We will contact registered attendees about rescheduling.

NLP with Deep Learning

Austin, April – on hold. Please expect updates.

Courses will be held at the Kimpton Hotel Van Zandt, an elegant hotel on Rainey Street in the middle of Austin’s hippest neighborhood.


Please share if you prefer a different date or topic, or if we can provide any accommodations.