Featured byCoursera - UC San Diego
Overview
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python.
In this Design Thinking and Predictive Analytics for Data Products course offered by Coursera in partnership with UC San Diego, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive 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.
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Skills you'll gain
Machine Learning
- Regression
- Data Analysis
- Machine Learning Algorithms
- Probability & Statistics
- Statistical Programming
- Algorithms
- General Statistics
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Supervised Learning & Regression
- Features
- Classification
- Gradient Descent
- Final Project
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 21 days
- 2 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Design Data Science & Big Data Data Analytics View 578 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate level
- Some related experience required
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 21 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 21 days.
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
Improve page content