AI Without Coding
Coming Soon
TBD
$1350
Regular In-Person Tuition
Bachelor
Degree or Equivalent is Required
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. Bring your own laptop.
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.
LEARN FROM THE BEST
Spend two and a half days of hands on training with leading experts. Over the past 12 years we have completed hundreds of projects in various verticals.
GET PRACTICAL RESULTS
Whether your are a working for a retail store, a bank, a telecom or a manufacturing company you will learn how to use existing data to improve your bottom line.
NO PRIOR CODING EXPERIENCE REQUIRED
We understand that busy professionals like your are do not have time to learn computer programming. We have created this program for people without any coding experience,
OBTAIN IN-DEMAND SKILLS
From data wrangling to predictive analytics, from geocoding to NLP learn popular data analytics techniques and use them to solve real life challenges.
LEARNING BY DOING
Learn by completing a real life project under mentorship of the industry experts. Cooperate with your peers to achieve tangible results.
NETWORK WITH LIKE-MINDED PEOPLE
Interact with peers from a wide variety of industries and learn from their experiences. Work together on completing course projects.
3
days
20
hours of training
0
coding
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.