Introduction Data Science 

People who want to become a Data Analyst or Data Scientist: Enhance your analytical skills and learn to make predictions and discover patterns from large amounts of data

Data Enthusiasts: Individuals interested in the field of Data Science

Business Analysts: Learn to spot opportunities for potential Data Science projects within your organization

IT Professionals: Gain an understanding of Data Science methodologies and models and learn how to apply them in your work

Identify the steps in a typical Data Science project

Understand the difference between Supervised and Unsupervised learning and know when to use each

Identify common pitfalls in Data Science projects and learn how to avoid them

 In this training, you’ll learn to spot opportunities for potential Data Science projects and take the first steps towards real Data Science work

You’ll be introduced to terms such as the Data Science Cycle, Supervised Learning, Unsupervised Learning, Time Series Forecasting, Natural Language Processing, and Computer Vision

We’ll discuss different types of Data Science methodologies and models, and the importance of correct problem statement formulation and data preparation for the validity of your analysis

Cost:- € 850,00 ex. VAT