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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
- When you enroll in this course, you'll also be enrolled in this Specialization.
- 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
- Predictive Analytics
- Predictive Modeling
- Classification And Regression Tree (CART)
- Statistical Methods
- Data Processing
- Design Thinking
- Supervised Learning
- Machine Learning Algorithms
- Data Cleansing
- Scikit Learn (Machine Learning Library)
- Tensorflow
- Machine Learning
- Regression Analysis
- Feature Engineering
- Data Manipulation
Programme Structure
Courses include:
- Supervised Learning & Regression
- Features
- Classification
- Gradient Descent
- Final Project
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data Data Analytics View 177 other Short Courses in Data Analytics in United StatesWhat students do after studying
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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
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
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.
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