Foundation in Data Science

Overview:

The aim of the Level 3 Diploma in Data Science is to provide learners with an introduction and understanding of the field of data science.
The Level 3 Diploma provides a contemporary and holistic overview of data science, artificial intelligence, and machine learning, from the birth of artificial intelligence and machine learning in the late 1950s, to the dawn of the “big data” era in the early 2000s, to the current applications of AI and machine learning and the various challenges associated with them. In addition to the standard machine learning models of linear and logistic regression, decision trees and k-means clustering, the diploma introduces learners to two new exciting and emerging areas of data science: synthetic data and graph data science.
The Diploma also introduces learners to the data analytical landscape and associated analytical tools, teaching introductory Python so that Learners can analyse, explore, and visualise data, as well as implement a number of basic data science models.
Successful completion of the Level 3 Diploma in Data Science provides learners with the opportunity to progress to further study or employment.

Credit Hours:

60

Duration:

6 - 8 Months

Year asdasd

Unit Title

Compulsory
The Field of Data Science
Python for Data Science
Creating and Interpreting Visualisations in Data Science
Data and Descriptive Statistics in Data Science
Fundamentals of Data Analytics
Data Analytics with Python
Machine Learning Methods and Models in Data Science
The Machine Learning Process
Linear Regression in Data Science
Logistic Regression in Data Science
K-means Clustering in Data Science
Decision Trees in Data Science
Synthetic Data for Privacy and Security in Data Science
Graphs and Graph Data Science