Bringing data science to the business

Remus Racolta

Remus Racolta

Chief Technology Officer (CTO), Data Booster

Remus Racolta is currently the Chief Technology Officer (CTO) at Data Booster, a startup that helps companies with customized data literacy upskilling programs.

With a rich background in Data & Advanced Analytics in diverse sectors like insurance (Allianz) telecommunications (Vodafone) and banking (ING), he is a strong ambassador for cultivating data-driven decision making.

He also firmly believes that data science plays a critical role in building and scaling products that generate high business value across all key areas of the business, including marketing, product development, operations, and finance.

Course syllabus

1

Why do we need data?

Human biases and the science of decision-making

2

Data literacy fundamentals

Reading data & analytics • Working with data - data quality management • Communicating with data - The art of data storytelling to engage, inform, and persuade

3

Data-science models

Supervised learning techniques to predict, classify • Unsupervised learning to understand your data and simplify your dataset

4

Manage your data team

5

Business Problems and Data Science Solutions

Use Case #1: Forecasting Sales with Regression • Use Case #2: Identifying Fraud with Classification • Use Case #3: Customer Segmentation with Clustering • Use Case #4: Recommendation engine