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Data scientists are needed everywhere - they turn countless amounts of data into ideas and insights, create predictive models and find non-obvious patterns to help businesses make decisions.
On this course, we will start with the basics and clearly define the areas of responsibility of the data scientist. Next, we will master all the tools for data analysis and forecasting: from Excel tables and SQL queries to TensorFlow, PyTorch, Keras libraries for building neural networks.
As a result ― you will learn how to work with data at the
Lecturer
Dmytro Bezushchak
More than 5 years working in Data Science
- For the past 2 years, he has been holding the position of Data Scientist/ML Engineer in a leading IT company from the S&P 500 list
- has successful releases of NLP and CV products
- Together with the team, he launched a logo recognition startup
- multiple winner of hackathons and competitions Kaggle
- has a Master of Arts degree from the Kyiv School of Economics and the University of Houston
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