This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization.
Este curso forma parte de Programa especializado: Python Data Products for Predictive Analytics
Ofrecido Por
Acerca de este Curso
Basic knowledge of programming (any language)
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Prueba Coursera para negociosQué aprenderás
Develop data strategy and process for how data will be generated, collected, and consumed
Load and process formatted datasets such as CSV and JSON.
Deal with data in various formats (e.g. timestamps, strings) and filter and “clean” datasets by removing outliers etc.
Basic experience with data processing libraries such as numpy and data ingestion with urllib, requests
Habilidades que obtendrás
- Python Libraries
- Data Pre-Processing
- Data Visualization (DataViz)
- Web Scraping
Basic knowledge of programming (any language)
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Week 1: Introduction to Data Products
Week 2: Reading Data in Python
Week 3: Data Processing in Python
Week 4: Python Libraries and Toolkits
Reseñas
- 5 stars61,87 %
- 4 stars22,65 %
- 3 stars7,18 %
- 2 stars3,86 %
- 1 star4,41 %
Principales reseñas sobre BASIC DATA PROCESSING AND VISUALIZATION
Goes into great detail on ways to actually use the code in sophisticated and useful ways. I feel like this course has started me on building a great python toolkit.
A really good course to learn data preprocessing before implementing the machine learning module.
This course is more rewarding than I thought. The instructors give step by step explanation of the process also the syllabus of the course is just perfect, Highly recommended.
I wish the lectures are a bit more engaging. But content-wise it is good.
Acerca de Programa especializado: Python Data Products for Predictive Analytics

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