Code-Free Data Science: Learn Predictive Analytics
Master data science without coding. Learn to design workflows, build models, and interpret results using KNIME Analytics Platform.
Master data science without coding. Learn to design workflows, build models, and interpret results using KNIME Analytics Platform.
Dive into the world of data science without any programming requirements in this beginner-friendly course. Using the KNIME Analytics Platform, you'll learn to design data science workflows, build and evaluate predictive models, and interpret results. The course covers essential skills in data manipulation, preparation, classification, and clustering methods. You'll gain hands-on experience applying machine learning algorithms to real data, making this course ideal for those seeking to understand and leverage data science techniques without coding expertise. Perfect for business professionals, analysts, or anyone interested in data-driven decision-making.
4.3
(202 ratings)
33,323 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
Powered by
What you'll learn
Design Data Science workflows without programming
Build and evaluate predictive models using KNIME
Master data manipulation and preparation techniques
Apply classification and clustering methods to real data
Interpret and validate machine learning results
Create effective data visualizations
Skills you'll gain
This course includes:
1 Hours PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
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 course offers a comprehensive introduction to data science without requiring any programming skills. Using the KNIME Analytics Platform, students will learn to design and implement data science workflows. The curriculum covers big data concepts, data manipulation techniques, visualization methods, and machine learning algorithms such as decision trees and clustering. Participants will gain practical experience in applying these techniques to real-world data, developing essential skills in predictive analytics and data-driven decision-making.
Welcome to the world of Big Data
Module 1 · 4 Hours to complete
Introduction to KNIME Analytics Platform
Module 2 · 5 Hours to complete
Data Manipulation and Visualization
Module 3 · 41 Minutes to complete
Machine Learning
Module 4 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Interdisciplinary Center for Data Science
Dr. Natasha Balac is a faculty member at the Interdisciplinary Center for Data Science at the University of California, San Diego. She holds a Ph.D. and has a strong focus on exploring critical issues surrounding inequality, institutions.
Testimonials
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.
4.3 course rating
202 ratings
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.