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.
Offert par
Réseau de compétences IBMÀ propos de ce cours
62 423 consultations récentes
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau intermédiaire
Basic Python Programming and using Jupyter Notebooks
Approx. 7Â heures pour terminer
Anglais
Sous-titres : Anglais
Ce que vous allez apprendre
Demonstrate your skills in Python
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
Compétences que vous acquerrez
- Extraction, Transformation And Loading (ETL)
- Python Programming
- Information Engineering
- Web Scraping
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau intermédiaire
Basic Python Programming and using Jupyter Notebooks
Approx. 7Â heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Réseau de compétences 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.
Programme de cours : ce que vous apprendrez dans ce cours
7Â heures pour terminer
Python Project for Data Engineering
7Â heures pour terminer
1 vidéo (Total 7 min), 6 lectures, 9 quiz
Avis
- 5 stars73,01Â %
- 4 stars19,04Â %
- 3 stars3,96Â %
- 2 stars0,39Â %
- 1 star3,57Â %
Meilleurs avis pour PYTHON PROJECT FOR DATA ENGINEERING
par IM12 juil. 2021
The rubric for grading is not correct for question 3. The instructions to the API questions is confusing. It asks for Country Name, but it seems that the quiz was looking for bank name.
par VB30 mai 2021
Should update contents as the names of api changes.
par BT20 sept. 2021
This project helped me to review the previous course Python for Data science
par RV1 août 2022
It was really well done and I found it difficult to complete. But I managed to complete it and it showed me my limitations and what I need to work on before moving onto the next course. Thanks a lot.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
À quoi ai-je droit si je m'abonne à ce Certificat ?
What is the refund policy?
D'autres questions ? Visitez le Centre d'Aide pour les Étudiants.
