Basic Data Processing and Visualization
- Offered byCoursera
- Public/Government Institute
Basic Data Processing and Visualization at Coursera Overview
Duration | 11 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Basic Data Processing and Visualization at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Basic Data Processing and Visualization at Coursera Course details
- 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 will introduce you to the field of data science and prepare you for the next three courses in the Specialization: Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
Basic Data Processing and Visualization at Coursera Curriculum
Week 1: Introduction to Data Products
What is a Data Product?
Data Product Examples in Enterprise
Developing a Data Product Strategy
Python and Jupyter Basics
Python Recap
Livecoding: Getting Started With Jupyter
Syllabus
Course Materials
Set Up Your System
Our Case Study: Recommender Systems
(Optional) Python: How to Run
(Optional) Python: Additional Resources and Recommended Readings
Review: Data Products
Review: Python and Jupyter
Week 2: Reading Data in Python
CSV & JSON Files
Reading CSV & JSON Files
Processing Structured Data in Python
Live-Coding: JSON
Extracting Simple Statistics From Datasets
Simple Statistics: Live-Coding
Review: CSV and JSON Files
Review: Simple Statistics
Python: Reading Data and Simple Statistics
Week 3: Data Processing in Python
Data Filtering and Cleaning
Processing Text and Strings in Python
Processing Times and Dates in Python
Livecoding: Time and Date Data
Review: Data Filtering and Cleaning
Review: Processing Different Data Types
Data Processing in Python
Week 4: Python Libraries and Toolkits
Matrix Processing and Numpy
Introduction to Data Visualization
Introduction to Matplotlib
Live-coding: MatPlotLib
urllib and BeautifulSoup
Review: NumPy
Review: MatPlotLib
Review: urllib and BeautifulSoup
Python Libraries and Toolkits
Final Project
Course Summary
Project Description
Where to Find Datasets
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