In this first course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will learn how to set up a version-controlled Python working environment which can utilize third party libraries. You will learn to use Python and the powerful Pandas library for data analysis and manipulation. Additionally, you will also be introduced to Vim and Visual Studio Code, two popular tools for writing software. This course is valuable for beginning and intermediate students in order to begin transforming and manipulating data as a data engineer.
本課程是 Python, Bash and SQL Essentials for Data Engineering 專項課程 專項課程的一部分
5,050 人已註冊
提供方
課程信息
54,922 次近期查看
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
初級
No prior Python experience required.
完成時間大約為38 小時
英語（English）
字幕：英語（English）
對員工進行熱門技能培訓能否為您的公司帶來益處？
體驗 Coursera 企業版您將學到的內容有
Setup a provisioned Python project environment
Use Pandas libraries to read and write data into data structures and files
Employ Vim and Visual Studio Code to write Python code
您將獲得的技能
- Vim
- Python Programming
- Pandas
- Visual Studio Code
- Data Structure
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
初級
No prior Python experience required.
完成時間大約為38 小時
英語（English）
字幕：英語（English）
對員工進行熱門技能培訓能否為您的公司帶來益處？
體驗 Coursera 企業版
提供方
杜克大学
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 9 小時
Getting Started with Python
This week, you will learn how to set up an isolated Python environment with third party libraries and apply it by setting up a virtual environment including Pandas and Jupyter.
完成時間為 9 小時
15 個視頻 （總計 72 分鐘）, 3 個閱讀材料, 5 個測驗
完成時間為 10 小時
Essential Python
This week, you will learn how to create and use Python Sequences, Dictionaries, Sets, List Comprehensions, and Generators. Additionally, you will learn how to apply these by manipulating client data in a Jupyter notebook.
完成時間為 10 小時
12 個視頻 （總計 65 分鐘）
完成時間為 10 小時
Data in Python: Pandas and Alternatives
This week, you will learn how to load data into a Pandas DataFrame and write statements to select columns and rows from a DataFrame. Additionally, you will apply comparison and boolean operators as a method of selecting data.
完成時間為 10 小時
10 個視頻 （總計 63 分鐘）
完成時間為 9 小時
Python Development Environments
This week, you will learn the basics of some popular development environments and apply it by writing code in Vim and Visual Studio Code. Additionally, you will learn how to check your code into a Git repository.
完成時間為 9 小時
12 個視頻 （總計 48 分鐘）
審閱
- 5 stars61.11%
- 4 stars24.07%
- 3 stars7.40%
- 2 stars1.85%
- 1 star5.55%
來自PYTHON AND PANDAS FOR DATA ENGINEERING的熱門評論
由 CY 提供2022年7月4日
It's all overview tool that need to use for work in data engineer
由 SM 提供2022年8月15日
Great introduction to how to set up your python environment.
由 BL 提供2022年6月29日
Good for quick basics of working with bash, github, python, virtual environments and such
由 PT 提供2022年9月12日
great course. I really liked how the concepts were followed by small labs. Well structured material.
關於 Python, Bash and SQL Essentials for Data Engineering 專項課程
If you are interested in developing the skills needed to be a data engineer, the Python, Bash and SQL Essentials for Data Engineering Specialization is a great place to start. We live in a world that is driven by big data - from what we search online to the route we take to our favorite restaurant, and everything in between. Businesses and organizations use this data to make decisions that impact the ways in which we navigate our lives. How do engineers collect this data? How can this data be organized so that it can be appropriately analyzed? A data engineer is specialized in this initial step of accessing, cleaning and managing big data.
常見問題
我什么时候能够访问课程视频和作业？
我订阅此专项课程后会得到什么？
有助学金吗？
還有其他問題嗎？請訪問 學生幫助中心。
