This mini-course is intended to apply foundational Python skills by implementing different techniques to collect and work with data. Assume the role of a Data Engineer and extract data from multiple file formats, transform it into specific datatypes, and then load it into a single source for analysis. Continue with the course and test your knowledge by implementing webscraping and extracting data with APIs all with the help of multiple hands-on labs. After completing this course you will have acquired the confidence to begin collecting large datasets from multiple sources and transform them into one primary source, or begin web scraping to gain valuable business insights all with the use of Python.
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Acerca de este Curso
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 5 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Basic Python Programming and using Jupyter Notebooks
Aprox. 5 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Qué aprenderás
Demonstrate your Skills in Python - the language of choice for Data Engineering
Implement Webscraping, and use APIs to extract data in Python
Play the role of a Data Engineer working on a real project to extract, transform and load data using Jupyter notebook and Watson Studio
Habilidades que obtendrás
Extraction, Transformation And Loading (ETL)Python ProgrammingInformation EngineeringWeb Scraping
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 3 de 5 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Basic Python Programming and using Jupyter Notebooks
Aprox. 5 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Programa - Qué aprenderás en este curso
5 horas para completar
Python Project for Data Engineering
5 horas para completar
1 video (Total 7 minutos), 6 lecturas, 7 cuestionarios
Acerca de Programa especializado: Data Engineering Foundations
Data engineering is one of the fastest-growing tech occupations, where the demand for skilled data engineers far outweighs the supply. The goal of data engineering is to make quality data available for fact-finding and data-driven decision making. This Specialization from IBM will help anyone interested in pursuing a career in data engineering by teaching fundamental skills to get started in this field. No prior data engineering experience is required to succeed in this Specialization.
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