Time: Coming Soon

Cost: $1450

Location: 430 Marrett Rd Suite 1 Lexington MA 02420

Requirements: Bachelor degree or equivalent, no coding experience is required, bring your own laptop.

Certificate: Course completion certificate

Anyone can do data science! Our in person 3 days workshop will show you how. After only a 20 hours of in-class training you will understand key machine learning algorithms and be able to apply them to a wide range of problems. No coding, no math – just visualizations and interactive data exploration! No prior knowledge on data science, machine learning, or statistics is required.

After completing the course, you will be able to predict churn, segment customers, detect brand sentiment and recommend shopping carts. We will emphasize on intuition. No complex math, statistics, or programming. The course will be hands-on, we will work on examples and do case studies. No boring PowerPoints.

Covered topics:

• Data exploration and visualization. Importing data into Orange is easy. File, import, and voila, your data is here. But what about if you want to rename a variable, change it’s type or edit labels?
• Clustering and customer segmentation. With any kind of models we often get the question – but how can we explain the clusters? What do these clusters tell us about the customers?
• Classification and predictive modeling. It is easy to build powerful predictive models in Orange. But how does the model “look like”? Which attributes and which values of those attributes are important?
• Model scoring end evaluation. We know never to test on the same data you’ve built your model with, but even training and testing on separate data is sometimes not enough…
• Essentials of image analysis and computer vision. I have taken many photographs in the last few years, but I have not had the time to edit the collection. Can machine learning algorithms help me with that?
• Text mining for business. You will learn how to keywords from documents, score documents on keywords, and display semantic content in a map and identify fake news.
• Final Project: This course will walk you through a hands-on real life project suitable for a portfolio. You will be shown how to manipulate and analyze data without any coding.

Register now