Code Free Data Science (Coursera)

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.

What 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

Syllabus

WEEK 1

Welcome to the world of Big Data

Welcome to the first module of the Code Free Data Science course. This first module will provide insight into Big Data Hype, its technologies opportunities and challenges. We will take a deeper look into the Big Data Analytics and methodology associated with Data Science approaches.

WEEK 2

Introduction to KNIME Analytics Platform

This module will introduce the KNIME analytics platform. Learners will be guided to download, install and setup KNIME. We will explore and become familiar with the KNIME workflow editor and its components. In this module we will create the very first basic workflow, and explore the kinds of analysis KNIME empowers users to perform.

WEEK 3

Data Manipulation and Visualization

WEEK 4

Machine Learning