Data Engineering for Data Scientists

Description

In this course, you will learn :

• About ETL pipelines and how to use them to process and mix data from CSV, JSON, logs, APIs, and databases.
• Tokenize, lemmatize, and remove stop words from text data before analysing it. Using bag of words and tf-idf, transform and vectorize text data and generate features with scikit-learn.
• About the benefits of employing machine learning pipelines to speed up the data preparation and modelling process. To develop a whole machine learning pipeline that prepares data and creates a model for a dataset, use feature unions to perform steps in parallel and create more complicated workflows.

Syllabus :

• ETL Pipelines
• Natural Language Processing
• Machine Learning Pipelines