About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

B​asic knowledge of programming (any language)

Approx. 14 hours to complete

Suggested: 4 hours/week...

English

Subtitles: English

What you will learn

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    Develop data strategy and process for how data will be generated, collected, and consumed

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    Load and process formatted datasets such as CSV and JSON.

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    Deal with data in various formats (e.g. timestamps, strings) and filter and “clean” datasets by removing outliers etc.

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    Basic experience with data processing libraries such as numpy and data ingestion with urllib, requests

Skills you will gain

Python LibrariesData Pre-ProcessingData Visualization (DataViz)Web Scraping

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

B​asic knowledge of programming (any language)

Approx. 14 hours to complete

Suggested: 4 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Week 1: Introduction to Data Products

6 videos (Total 42 min), 6 readings, 2 quizzes
6 videos
Data Product Examples in Enterprise5m
Developing a Data Product Strategy7m
Python and Jupyter Basics6m
Python Recap5m
Livecoding: Getting Started With Jupyter10m
6 readings
Syllabus10m
Course Materials10m
Set Up Your System10m
Our Case Study: Recommender Systems10m
(Optional) Python: How to Run10m
(Optional) Python: Additional Resources and Recommended Readings10m
2 practice exercises
Review: Data Products4m
Review: Python and Jupyter5m
Week
2
2 hours to complete

Week 2: Reading Data in Python

6 videos (Total 54 min), 3 quizzes
6 videos
Reading CSV & JSON Files9m
Processing Structured Data in Python8m
Live-Coding: JSON5m
Extracting Simple Statistics From Datasets11m
Simple Statistics: Live-Coding8m
3 practice exercises
Review: CSV and JSON Files8m
Review: Simple Statistics10m
Python: Reading Data and Simple Statistics45m
Week
3
1 hour to complete

Week 3: Data Processing in Python

4 videos (Total 38 min), 3 quizzes
4 videos
Processing Text and Strings in Python7m
Processing Times and Dates in Python11m
Livecoding: Time and Date Data8m
3 practice exercises
Review: Data Filtering and Cleaning5m
Review: Processing Different Data Types5m
Data Processing in Python30m
Week
4
2 hours to complete

Week 4: Python Libraries and Toolkits

5 videos (Total 45 min), 5 quizzes
5 videos
Introduction to Data Visualization11m
Introduction to Matplotlib5m
Live-coding: MatPlotLib9m
urllib and BeautifulSoup12m
4 practice exercises
Review: NumPy4m
Review: MatPlotLib6m
Review: urllib and BeautifulSoup6m
Python Libraries and Toolkits15m
4.4
14 ReviewsChevron Right

Top reviews from Basic Data Processing and Visualization

By MAJun 30th 2019

Excellent to start your career in machine learning!!!

Instructors

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Julian McAuley

Assistant Professor
Computer Science
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Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center

About University of California San Diego

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

About the Python Data Products for Predictive Analytics Specialization

Python data products are powering the AI revolution. Top companies like Google, Facebook, and Netflix use predictive analytics to improve the products and services we use every day. Take your Python skills to the next level and learn to make accurate predictions with data-driven systems and deploy machine learning models with this four-course Specialization from UC San Diego. This Specialization is for learners who are proficient with the basics of Python. You’ll start by creating your first data strategy. You’ll also develop statistical models, devise data-driven workflows, and learn to make meaningful predictions for a wide-range of business and research purposes. Finally, you’ll use design thinking methodology and data science techniques to extract insights from a wide range of data sources. This is your chance to master one of the technology industry’s most in-demand skills. Python Data Products for Predictive Analytics is taught by Professor Ilkay Altintas, Ph.D. and Julian McAuley. Dr. Alintas is a prominent figure in the data science community and the designer of the highly-popular Big Data Specialization on Coursera. She has helped educate hundreds of thousands of learners on how to unlock value from massive datasets....
Python Data Products for Predictive Analytics

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.