Kỹ sư dữ liệu trong Python

A non-coding introduction to cloud computing, covering key concepts, terminology, and tools.

Master the fundamentals of programming in Python. No prior knowledge required!

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Improve your Python data importing skills and learn to work with web and API data.

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

Tidy a bank marketing campaign dataset by splitting it into subsets, updating values, converting data types, and storing it as multiple csv files.

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Discover the fundamentals of Git for version control in your software and data projects.

Discover branches and remote repos for version control in collaborative software and data projects using Git!

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

Review a data analysis workflow for adherence to Python standards and best-practices.

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

Learn how to implement and schedule data engineering workflows.

Test your Data engineering skills by creating a data pipeline to analyze E-commerce business of Walmart!

In this live training, we will work on cleaning a dataset of audiobooks from audible.in