Code Free Data Science
4.0 /5- Offered byCoursera
Code Free Data Science at Coursera Overview
Duration | 14 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Code Free Data Science at Coursera Highlights
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Code Free Data Science at Coursera Course details
- 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.
- 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
Code Free Data Science at Coursera Curriculum
Welcome to the world of Big Data
Welcome to the Code Free Data Science Class
Welcome to Module 1
First Joke
Big Data Characteristics and Applications
Big Data Applications
Big Data Analytics
Introduction to Data Mining
Big Data Impact and Challanges
Big Data Analytics: Applications, Prospects and Challenges
10 signs of Data Science Maturity
NIST Big Data interoperability Framework (NBDIF)
Big Data Quiz
Module 1 quiz
Introduction to KNIME Analytics Platform
Welcome to Module 2
Module 2 Joke
Introduction to KNIME Analytics Platform
Install KNIME Analytics Platform
Exploring KNIME Workspace
Creating new workflows in KNIME
My First KNIME Workflow Exercise
Node Operations in KNIME
Data Types and Formats in KNIME
Creating Analytics Workflow in KNIME
KNIME Analytics Platform Web site link
Download KNIME
KNIME Installation Guide
KNIME getting Started
KNIME workbench guide
Example Workflows
KNIME Whitepaper
adult.csv data set
KNIME Book Chapter 1
Autos Data Set
Iris.csv data
Install KNIME Quiz
Exploring KNIME
Node Operations Quiz
Filtering Data Quiz
Filtering Workflow Assignment
Data Manipulation and Visualization
Intro to Module 3
Intro to Data Manipulation in KNIME
Rule Engine
String Manipulation
String Replacer
String Splitting and Column Combining
Column Resorter
Type Conversions
Database Operations
Scatterplot
Color Manager in KNIME
Line Plot
Parallel Coordinate Plot
Bar Charts
Rule Engine Quiz
Module 3 Assignment
Machine Learning
Welcome to Module 4
Module 4 Joke
Introduction to Data Science
Introduction to Decision Tree Induction
Building Decision Tree Model in KNIME
Decision Tree Workflow
Intro to K-means Clustering
K-means Clustering In KNIME
Decision Tree Reading
Decision Trees Examples in KNIME
Book Chapter on Clustering
Decision Trees Quiz
Decision Tree Assignment
Clustering Assignment
Code Free Data Science at Coursera Admission Process
Important Dates
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