Guoxin Sun has completed

Data Engineer

71hrs

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Understanding Cloud Computing

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

2 hours

Introduction to Python for Developers

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

3 hours

Intermediate Python for Developers

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

2 hours

Introduction to Importing Data in Python

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

3 hours

Intermediate Importing Data in Python

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

2 hours

Introduction to APIs in Python

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

2 hours

Cleaning Data in Python

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

4 hours

Cleaning Bank Marketing Campaign Data

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

2 hours

Writing Efficient Python Code

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

4 hours

Streamlined Data Ingestion with pandas

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

4 hours

Introduction to Git

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

2 hours

Intermediate Git

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

2 hours

Software Engineering Principles in Python

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

4 hours

Performing a Code Review

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

2 hours

ETL and ELT in Python

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

4 hours

Introduction to Apache Airflow in Python

Learn how to implement and schedule data engineering workflows.

4 hours

Building a Retail Data Pipeline

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

2 hours

code-along

Cleaning Data in Python

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

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Associate Data Engineer

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Data Engineer

Loved by learners at thousands of companies

Certification Available

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Instructors

Join over .css-djf8xx{color:#03EF62;}16,810,000 learners and start Data Engineer in Python today!

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Training 2 or more people?

Join over 16,810,000 learners and start Data Engineer in Python today!