Basic Data Processing and Visualization
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.
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- Level Professional
- Duration 11 hours
- Course by University of California San Diego
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Offered by
About
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.Modules
Course Information
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3
Readings
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1
Discussion
1
Discussions
- What do you hope to get out of this course?
3
Readings
- Syllabus
- Course Materials
- Set Up Your System
What is a Data Product?
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3
Videos
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1
Readings
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1
Discussion
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1
Assignment
1
Assignment
- Review: Data Products
1
Discussions
- What data products have you noticed, and why do you consider them data products?
3
Videos
- What is a Data Product?
- Data Product Examples in Enterprise
- Developing a Data Product Strategy
1
Readings
- Our Case Study: Recommender Systems
Introducing Python
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3
Videos
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2
Readings
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1
Assignment
1
Assignment
- Review: Python and Jupyter
3
Videos
- Python and Jupyter Basics
- Python Recap
- Livecoding: Getting Started With Jupyter
2
Readings
- (Optional) Python: How to Run
- (Optional) Python: Additional Resources and Recommended Readings
CSV and JSON Files
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4
Videos
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1
Assignment
1
Assignment
- Review: CSV and JSON Files
4
Videos
- CSV & JSON Files
- Reading CSV & JSON Files
- Processing Structured Data in Python
- Live-Coding: JSON
Simple Statistics
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2
Videos
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1
Assignment
1
Assignment
- Review: Simple Statistics
2
Videos
- Extracting Simple Statistics From Datasets
- Simple Statistics: Live-Coding
Quiz: Week 2 Assessment
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1
Discussion
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1
Assignment
1
Assignment
- Python: Reading Data and Simple Statistics
1
Discussions
- What projects do you hope to apply data science to eventually?
Data Filtering and Cleaning
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1
Videos
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1
Assignment
1
Assignment
- Review: Data Filtering and Cleaning
1
Videos
- Data Filtering and Cleaning
Processing Different Data Types
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3
Videos
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1
Assignment
1
Assignment
- Review: Processing Different Data Types
3
Videos
- Processing Text and Strings in Python
- Processing Times and Dates in Python
- Livecoding: Time and Date Data
Quiz: Week 3 Assessment
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1
Discussion
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1
Assignment
1
Assignment
- Data Processing in Python
1
Discussions
- To what area of society do you feel data analysis should be applied more?
NumPy
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1
Videos
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1
Assignment
1
Assignment
- Review: NumPy
1
Videos
- Matrix Processing and Numpy
MatPlotLib
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3
Videos
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1
Assignment
1
Assignment
- Review: MatPlotLib
3
Videos
- Introduction to Data Visualization
- Introduction to Matplotlib
- Live-coding: MatPlotLib
urllib and BeautifulSoup
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1
Videos
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1
Assignment
1
Assignment
- Review: urllib and BeautifulSoup
1
Videos
- urllib and BeautifulSoup
Quiz: Week 4 Assessment
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1
Discussion
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1
Assignment
1
Assignment
- Python Libraries and Toolkits
1
Discussions
- What are some real-life applications for the libraries you've learned about?
Mini Project
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1
Discussion
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1
PeerReview
1
Peer Review
- Mini Project
1
Discussions
- How helpful was the Mini Project?
Course Summary
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1
Videos
1
Videos
- Course Summary
Project 1: Reading and Manipulating Datasets in Python
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2
Readings
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1
Discussion
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1
PeerReview
1
Peer Review
- Project Submission
1
Discussions
- What is something you learned from doing this final project?
2
Readings
- Project Description
- Where to Find Datasets
Auto Summary
Dive into the world of data science with the "Basic Data Processing and Visualization" course, a cornerstone of the four-course specialization, Python Data Products for Predictive Analytics. Designed for professionals eager to enhance their data manipulation skills, this course offers an in-depth introduction to reading, processing, and visualizing datasets using Python. Guided by expert instructors from Coursera, you'll explore essential Python libraries and gain hands-on experience with data retrieval and visualization techniques. This foundational course sets the stage for advanced topics covered in subsequent courses, including Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models. Over 660 minutes of immersive content, you'll build a robust skill set that culminates in a comprehensive capstone project, integrating all the knowledge acquired throughout the specialization. Flexible subscription options are available, including Starter, Professional, and Paid plans, ensuring you can tailor your learning journey to your professional needs. Ideal for those pursuing excellence in data science, this course empowers learners with the practical skills required to excel in the dynamic field of data processing and visualization. Start your journey today and transform data into actionable insights.
Julian McAuley
Ilkay Altintas