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Python for Data Science

This module introduces the fundamental concepts and best practices for using REST APIs in end-to-end data pipelines. It covers the principles of RESTful architecture, including HTTP protocols and structures, and...
  • 5 Lessons
Free
Explore the Data Wrangling course, focusing on techniques vital for ensuring data quality. Covering topics such as handling missing values, identifying duplicates with Pandas, and consolidating data from multiple sources,...
  • 7 Lessons
Free
Machine learning is the part of a data scientist’s job that is often the most interesting, because of the unique and interesting tasks that are being done using machine learning....
  • 9 Lessons
Free
Being able to tell a story with your data is a key skill for a data scientist, and a big part of that is being able to make good visualizations....
  • 8 Lessons
Free
Data loading, storage, and file formats encompass the processes and methods for accessing, storing, and handling data in various formats within a computing environment. This involves techniques for reading data...
  • 7 Lessons
Free
Embark on an exciting exploration of AI, machine learning, and IoT technologies in this dynamic course. Through practical examples and hands-on exercises, you’ll delve into the world of data storage...
  • 7 Lessons
Free
Discover the power of A/B testing, a dynamic method for refining strategies and enhancing user experiences. Online Experimentation And A/B Testing offers a deep dive into this invaluable technique. From...
  • 7 Lessons
Free
In this course you’ll explore techniques for extracting insights from unstructured text data and foundational concepts and applications of text analytics across various industries. Delve deep into the theory and...
  • 8 Lessons
Free