The Introduction to Data Science & Machine Learning training course is designed to demonstrate how data can be gathered and used to solve problems, define strategy and uncover hidden needs.
The course begins by introducing statistics and data analytics to drive all developers to be more data-minded. Next, it examines a data example to illustrate concepts and facilitate discussion. The course concludes with an exploration of structured and unstructured machine learning data.
No prerequisites necessary.
Purpose
|
Learn how data can be gathered to improve the overall needs of the business. |
Audience
|
Developers who are new to Machine Learning. |
Role
| Data Engineer - Data Scientist - Software Developer |
Skill Level
| Introduction |
Style
| Fast Track - Hack-a-thon - Learning Spikes - Workshops |
Duration
| 2 Days |
Related Technologies
| Big Data Training | Python | Machine Learning Training | Data Science |
Productivity Objectives
- Describe the role of Machine Learning in your organization and where it fits into Information Technology strategies
- Classify data into Supervised and Unsupervised categories
- Recognize the characteristics an organization needs to be data-driven
- Identify visualization strategies for understanding data sets
- Discuss how Machine Learning could lead to inaccurate assumptions
