MACHINE LEARNING CERTIFICATE
MACHINE LEARNING CERTIFICATE
Data Scientists are working with massive amounts of data. Machine Learning takes mountains or oceans of data and serve them up into “workable” solutions.
Deploying Machine not only saves time and money, it can help accelerate the decision making process. Having a solid understanding of when and where to deploy either option can also make you a hero to your company and the bottom line.
Certification Requirements
Working KNOWLEDGE of business intelligence (programming and SQL)
Complete ALL of the following:
Fundamentally, data science is using statistics and economic modeling to predict what is likely to happen next. This class will teach the student the fundamentals of how to build common algorithms inside of an industry-leading data science platform called Dataiku. This will include the basics of model evaluation, choosing target variables and characteristics, and basic machine learning. This module, taken individually, does not earn a student a certificate. This module, taken individually, does not earn a student a certificate.
AND
This class will dive into the metrics behind evaluating an analytics model’s performance using F1, Accuracy, Precision, Recall, AUC, Cost matrix, and Cumulative Lift. Students also will learn to show the steps to building, testing, evaluating, adjusting/rebuilding, re-testing, and re-evaluating a model. Finally, students will learn which model to use, avoiding the pitfalls of just using accuracy as an indicator. This module, taken individually, does not earn a student a certificate.
AND
Data science has gone from needing to know how to code to most modeling techniques having standardized libraries that can be pasted into a program. This means that one may do data science without understanding what the models mean or actually do. This class will drill into how to program models the traditional way. Students will use Word2Vec to scrape, debug, and enhance data science models. They also will learn how to use Python to solve other gaps such as calculations, other data manipulation, and random number population. This module, taken individually, does not earn a student a certificate.
Total Time/Cost to complete certification: 12 weeks/$4,650
What do Machine Learning Programmers do?
A DATA SCIENTIST builds analytics tools that utilize a company’s data to provide proactive insights into customer acquisition, operational efficiency and other key business performance metrics.
Common tasks of a MACHINE LEARNING OR AI PROGRAMMER:
- Work with product owners, management staff, and/or customers to understand problems they are having
- Work with data engineers, data analysts, programmers, and data visualists to help find and maintain data to be used in modeling
- Build data models including model selection, model interpretation, and model management
- Present models to staff, management, and users
- Help implement and maintain those models in the enterprise
PROUDLY SUPPORTING OUR MILITARY MEMBERS
OMAHA DATA SCIENCE ACADEMY
2112 N.30th Street
Omaha NE, 68111