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Virtual Academy - Online Courses


Interactive Online Workshops on Artificial Intelligence




What is Prediction from Data?

Created in partnership with Thorly, this course has all the necessary resources in one place that will enable your employees to start generating value from your data immediately.

Using a hybrid way of learning, through theory, practical examples and hands-on during most of the time, each participant will learn the main tools any successful Data Scientist need: Statistics, Python programming and Machine Learning.
Get ready to start building inside your organization a community of the coolest and most required profession of the 21st century!

This workshop is also available on a face-to-face setting.

Challenge of Prediction from Data

As the amount of data generated increases and the business mentality changes for a data-driven society, the demand for Data Scientists is growing exponentially. However, as a multidisciplinary knowledge profession (where programming, statistical, analytical, among others, skills are needed), driving important business decisions, the Data Science skills are exceptionally difficult to acquire and train. It leads to the big lack of Data Scientists in the job market and to companies’ struggle to find and hire these professionals.

Our solutions about Prediction from Data

How to transform your employees into Data Scientists and enjoy the perks of having the most required and high-skilled professionals inside your organization is what this course promises.
Through it, your employees will have access to different tools and powerful concepts and the opportunity to apply them with hands-on to real-life problems.
This program will guide the participants on the following topics / skills to become Data Scientists from scratch:

  1. Mathematics (basic calculus and linear algebra);
  2. Statistics (basic statistics and advanced statistical methods);
  3. Python (the most used programming language due to its simplicity and libraries that enable (i) data manipulation, (ii) data transformation, (iii) data visualisation and (iv) implement easily machine and deep learning models to make predictions);
  4. Visualizations (a Data Scientist needs to communicate complex results in a graphic way to the decision makers);
  5. Machine learning (covering most of the common machine learning methods, by the end the participant will be able to create advanced predictive models).

Every topic will be composed by theoretical lessons followed by hands-on practical problems.
By the end of the lessons, an hackathon will take place and the participants will go from scratch solving an entire Data Science challenge, making predictions using the most advanced statistics, visualizations and machine learning techniques learnt in the lessons.
This program is prepared for beginners in any of the areas, as the fundamentals and basics of each area will be taught. The participants only need the will to become a Data Scientist!