The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data. Predicting future trends and behaviors allows for proactive, data-driven decisions. During the class learners will acquire new skills to apply predictive algorithms to real data, evaluate, validate and interpret the results without any pre requisites for any kind of programming. Participants will gain the essential skills to design, build, verify and test predictive models.
Offered By
Code Free Data Science
University of California San DiegoAbout this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
How to design Data Science workflows without any programming involved
Essential Data Science skills to design, build, test and evaluate predictive models
Data Manipulation, preparation and cclassification and clustering methods
Ways to apply Data Science algorithms to real data and evaluate and interpret the results
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
Syllabus - What you will learn from this course
Welcome to the world of Big Data
Introduction to KNIME Analytics Platform
Data Manipulation and Visualization
Machine Learning
Reviews
- 5 stars56.21%
- 4 stars29.18%
- 3 stars7.56%
- 2 stars2.70%
- 1 star4.32%
TOP REVIEWS FROM CODE FREE DATA SCIENCE
this course is so helpful for me as I am on the entry-level of data science learning.
however, 1 questions on the last quiz need to be reviewed,
Thank you, Coursera!
I like this course since it gives me an operational overview on what data science can do on a large data. How I wish there is an extension to this course. Thank you!
A lot of extra work must be done to reformat data examples into useful docs. Sometimes the courses require you to look ahead in order to obtain the tools needed for a quiz.
something was missing like a clarified explanation of the methods and resources for the quiz is totally incompetence
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I purchase the Certificate?
Is financial aid available?
More questions? Visit the Learner Help Center.
