The aim of this course is to increase the number of “citizens of data science”, who will understand these imperatives and drive the necessary change from within. It will also be a launch-pad for those that do want to continue towards a career in data science.. It offers a fast-track for students to higher employment market value and can augment university courses in science, technology, engineering, mathematics and business.
To increase the number of “citizens of data science”, who will understand these imperatives and drive the necessary change from within. It will also be a launch-pad for those that do want to continue towards a career in data science.
Data Driven Business
Introduction to Applied Data Science
Importance of Big Data and IoT
Hypothesis Development Canvas Workshop
Exploring Data Science
Introduction to Data Science and Statistics Techniques
Data Analysis Methods and Project Briefing
Introduction to AI and ML
Getting Started with Industrial IoT
The Basics of Python
Python for Machine Learning
Data Operations
Introduction to Data Operations
Introduction to Analytics Data Pipeline
Big Data EcoSystem – Hadoop, NoSQL, Cloud
Data Modeling and Visualization
Getting Started with Pentaho Data Integration
Pentaho Business Analytics
Streaming Data with Pentaho (IoT)
Applied Data Science Project
Project Write-up and Final Workshop Preparation
Final Workshop
Power BI
Power Pivot for Data Modeling and Data Analysis Expression – DAX Queries
Data Visualization with Analytics
R Programming
Introduction to R
R Packages
Sorting DataFrame
Matrices and Vectors
Reading Data from External Files
Generating Plots
Database Connectivity with R
