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.
Este curso forma parte de Programa especializado: Python, Bash and SQL Essentials for Data Engineering
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Acerca de este Curso
50.189 vistas recientes
Fechas lÃmite flexibles
Restablece las fechas lÃmite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
No prior Python experience required.
Aprox. 38 horas para completar
Inglés (English)
SubtÃtulos: Inglés (English)
¿PodrÃa tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosQué aprenderás
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
Habilidades que obtendrás
- Vim
- Python Programming
- Pandas
- Visual Studio Code
- Data Structure
Fechas lÃmite flexibles
Restablece las fechas lÃmite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
No prior Python experience required.
Aprox. 38 horas para completar
Inglés (English)
SubtÃtulos: Inglés (English)
¿PodrÃa tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negocios
ofrecido por
Universidad Duke
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.
Programa - Qué aprenderás en este curso
9 horas para completar
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.
9 horas para completar
15 videos (Total 72 minutos), 3 lecturas, 5 cuestionarios
10 horas para completar
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.
10 horas para completar
12 videos (Total 65 minutos)
10 horas para completar
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.
10 horas para completar
10 videos (Total 63 minutos)
9 horas para completar
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.
9 horas para completar
12 videos (Total 48 minutos)
Reseñas
- 5 stars61,81Â %
- 4 stars23,63Â %
- 3 stars7,27Â %
- 2 stars1,81Â %
- 1 star5,45Â %
Principales reseñas sobre PYTHON AND PANDAS FOR DATA ENGINEERING
por CY4 de jul. de 2022
It's all overview tool that need to use for work in data engineer
por PT12 de sep. de 2022
great course. I really liked how the concepts were followed by small labs. Well structured material.
por BL29 de jun. de 2022
Good for quick basics of working with bash, github, python, virtual environments and such
por SM15 de ago. de 2022
Great introduction to how to set up your python environment.
Acerca de Programa especializado: Python, Bash and SQL Essentials for Data Engineering
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.
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