This course is part of the Python Data Products for Predictive Analytics Specialization

4.3
stars
181 ratings

Julian McAuley +1 more instructor

19,126 already enrolled

Offered By

Python Data Products for Predictive Analytics SpecializationUniversity of California San Diego

About this Course

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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.

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 1 of 4 in the

Python Data Products for Predictive Analytics Specialization

Intermediate Level

Basic knowledge of programming (any language)

Approx. 10 hours to complete

English

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What 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

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 1 of 4 in the

Python Data Products for Predictive Analytics Specialization

Intermediate Level

Basic knowledge of programming (any language)

Approx. 10 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.53/5 (31 Ratings)

Julian McAuley

Ilkay Altintas

Chief Data Science Officer

San Diego Supercomputer Center

459,218 Learners

13 Courses

Offered by

University of California San Diego

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Syllabus - What you will learn from this course

Week1

Week 1

2 hours to complete

Week 1: Introduction to Data Products

2 hours to complete

6 videos (Total 42 min), 6 readings, 2 quizzes

6 videos

What is a Data Product?5mData Product Examples in Enterprise5mDeveloping a Data Product Strategy7mPython and Jupyter Basics6mPython Recap5mLivecoding: Getting Started With Jupyter10m

6 readings

Syllabus10mCourse Materials10mSet Up Your System10mOur Case Study: Recommender Systems10m(Optional) Python: How to Run10m(Optional) Python: Additional Resources and Recommended Readings10m

2 practice exercises

Review: Data Products4mReview: Python and Jupyter5m

Week2

Week 2

2 hours to complete

Week 2: Reading Data in Python

2 hours to complete

6 videos (Total 54 min)

Week3

Week 3

1 hour to complete

Week 3: Data Processing in Python

1 hour to complete

4 videos (Total 38 min)

Week4

Week 4

3 hours to complete

Week 4: Python Libraries and Toolkits

3 hours to complete

5 videos (Total 45 min)

Reviews

4.3

53 reviews

5 stars
61.87%
4 stars
22.65%
3 stars
7.18%
2 stars
3.86%
1 star
4.41%

TOP REVIEWS FROM BASIC DATA PROCESSING AND VISUALIZATION

by JPMay 28, 2020

A really good course to learn data preprocessing before implementing the machine learning module.

by MKSep 16, 2020

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.

by CWJun 29, 2022

Great content. When you apply yourself to this course , there's no "dirty" data you can't handle.

by ACMar 4, 2021

Really nice. Learnt a lot ! Thanks to the faculties and UC San Diego.

View all reviews

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

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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