Powered by
Completion
CERTIFICATE
Predictive Modeling, Model Fitting, and Regression Analysis
This course is part of Data Science Fundamentals.
Course Cost
Free course
Intermediate
Skill Level
4 Hours
Self-paced Video lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science Fundamentals Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Apply predictive modeling techniques to real-world problems
Develop supervised and unsupervised learning models
Implement classification analysis using decision trees
Create and evaluate regression models
Optimize model fitting for historical and future data
Skills you'll gain
This course includes:
0.1 Hours PreRecorded video
2 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course explores predictive modeling techniques and their practical applications. Students learn about supervised and unsupervised modeling approaches, classification analysis using decision trees, and regression analysis methods. The curriculum covers model fitting concepts, training processes, and how to apply models to both historical and future data. Through hands-on activities, learners develop practical skills in creating and evaluating linear regression models for business applications.
Predictive Modeling
Module 1 · 43 Minutes to complete
Data Dimensionality and Classification Analysis
Module 2 · 40 Minutes to complete
Model Fitting
Module 3 · 43 Minutes to complete
Regression Analysis
Module 4 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Science Fundamentals
Reviews
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
3.9
42
Reviews
15,874
Students
5
Courses
Julie Pai is an accomplished professional with over 10 years of experience in technology education programs. Her journey began in biology and clinical research, which sparked her interest in statistical analysis and data analysis. As the Assistant Director of Technology Programs at the University of California, Irvine, Julie collaborates with industry professionals to create, launch, and manage a variety of technology courses, including Data Science, Data Analytics, Cloud Computing, and Machine Learning. She is proficient in several programming languages and tools such as Tableau, SQL, MySQL, Python, Spark, Hive, and Scala. Julie's dedication to education is reflected in her efforts to develop engaging curricula that equip students with the skills needed to thrive in the technology sector. Through her work, she plays a vital role in bridging the gap between academia and industry, fostering a new generation of data-driven professionals.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.