Workshops

Generating Insights from Education Dataset Using Python

Tuesdady, March 05
10:30 AM – 12:30 PM
Workshops Room

To successfully model good machine learning problems, you need to first gather the data whether structured or unstructured. Then you need to clean the data and do efficient feature engineering to get the data ready for modeling.

In this workshop, we will take you on a journey from data generating insights using datasets from the education industry. Some of the topics covered include the following:

  • Introduction to data analytics using Python
  • Importing data sets
  • Tidying data
  • Data Manipulation
  • Data analysis
  • Exploratory data analysis
  • Data visualisation
  • Drawing conclusions from data analytics


This workshop is presented by

Generating Insights from Healthcare Dataset Using R

Tuesday, March 05
2:00 PM – 4:00 PM
Workshops Room

To successfully model good machine learning problems, you need to first gather the data whether structured or unstructured. Then you need to clean the data and do efficient feature engineering to get the data ready for modeling.

In this workshop, we will take you on a journey from data generating insights using datasets from the healthcare industry. Some of the topics covered include the following:

  • Introduction to data analytics using R
  • Importing data sets
  • Tidying data
  • Data Manipulation
  • Data analysis
  • Exploratory data analysis
  • Data visualisation
  • Drawing conclusions from data analytics


This workshop is presented by

Knowledge Graph: Connecting Small Data to Big Data

Wednesday, March 06
10:30 PM – 12:30 PM
Workshops Room

Join Emeka Okoye as he walks you though novel ways in connecting small data to big data.

Knowledge Graphs are graph structures that capture knowledge in the form of entities and the relationships between them in a domain. In this presentation, I will cover the following topics:

– What is a graph
– The big data problem
– Why Enterprise Knowledge Graph in an Organization?
– Relationship matters: connecting entities
– Database Hugging Disorder (DBHD)
– Deriving Knowledge from Insight
– Connected Graph: Building Our Map
– Semantic Tech Effects on Businesses and Industries
– And more


This workshop is presented by Emeka Okoye

Generating Insights from Population Dataset Using Python

Wednesday, March 06
2:00 PM – 4:00 PM
Workshops Room

To successfully model good machine learning problems, you need to first gather the data whether structured or unstructured. Then you need to clean the data and do efficient feature engineering to get the data ready for modeling.

In this workshop, we will take you on a journey from data generating insights using datasets from the population space. Some of the topics covered include the following:

  • Introduction to data analytics using Python
  • Importing data sets
  • Tidying data
  • Data Manipulation
  • Data analysis
  • Exploratory data analysis
  • Data visualisation
  • Drawing conclusions from data analytics


This workshop is presented by