- Home
- Course collections
-
Professions
A comprehensive course where you will learn how to use Python libraries to solve data science problems, process data sets, and build ML models.
We'll start with an overview of Data Science tasks and gradually master 10 key Python libraries for working with data and visualizing it.
In practice, we will learn how to solve the following tasks: data cleaning and search for missing values, forecasting and classification, cluster analysis of data and search for relationships, running A/B testing and hypothesis validation, feature selectio
LECTURER:
Alexandra Kardash
- Director of Data Science at Shelf, an American startup in the field of knowledge management
- was one of the first Data Scientists at Shelf.io and participated in building the DS team to more than 15 specialists
- has 5 years of experience in Data Science in various technical fields, worked with startups from idea to finished product
- portfolio includes successful cases in Forecasting & Time Series Analysis, optimization, predictive analytics, and NLP
Only authorized users can buy courses, leave reviews and rate
Log in »
