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Overview
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 Code Free Data Science course offered by Coursera in partnership UC San Diego 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.
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 Classification and clustering methods
- Ways to apply Data Science algorithms to real data and evaluate and interpret the results
Skills you'll gain
- Data Analysis
- Big Data
- Data Analysis Software
- Data Management
- Machine Learning
- Algorithms
- Data Visualization Software
- Decision Making
Programme Structure
Courses include:
- Welcome to the world of Big Data
- KNIME Analytics Platform
- Data Manipulation and Vizualization
- Machine Learning
Key information
Duration
- Part-time
- 7 days
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Data Science & Big Data Machine Learning View 466 other Short Courses in Computer Sciences 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
- Beginner level
- No prior 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.
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