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.
This course is part of the Python Data Products for Predictive Analytics Specialization
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About this Course
Basic knowledge of programming (any language)
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
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
Skills you will gain
- Python Libraries
- Data Pre-Processing
- Data Visualization (DataViz)
- Web Scraping
Basic knowledge of programming (any language)
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Week 1: Introduction to Data Products
Week 2: Reading Data in Python
Week 3: Data Processing in Python
Week 4: Python Libraries and Toolkits
Reviews
- 5 stars61.87%
- 4 stars22.65%
- 3 stars7.18%
- 2 stars3.86%
- 1 star4.41%
TOP REVIEWS FROM BASIC DATA PROCESSING AND VISUALIZATION
A really good course to learn data preprocessing before implementing the machine learning module.
I wish the lectures are a bit more engaging. But content-wise it is good.
Really nice. Learnt a lot ! Thanks to the faculties and UC San Diego.
If someone wants to make their carrier in Data science,It is one fundamental course towards it.
The course is good with engaging assignments,quizzes and projects.
About the Python Data Products for Predictive Analytics Specialization

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