Diploma in Data Science
Study Options
Campus
Paris
Diploma
Level 2 Diploma in Data Science
Awarded By
European School of Business
Teaching Language
English
Delivery
Online/ Blended/ In class
Duration
3 Months
Intake
Every 3 Months
Format
Full-Time
Fees
€ 2500
Course Overview
With the emergence of cloud computing, big data and artificial intelligence, data science has become a key fourth generation profession. Diploma in Data Science has been developed to prepare aspiring Data Analysts and Artificial Intelligence specialists to take advantage of the growing business and employment opportunities in these fields. Diploma is designed to enable learners to gain skills in maths, statistics and programming in R, Python and SQL.
Academic Curriculum
Mandatory
Exploratory Data Analysis
Statistical Inference
Fundamentals of Predictive Modelling Advanced Predictive Modelling
Time Series Analysis Unsupervised Multivariate Methods Machine Learning
Career Opportunity After Diploma
- Gain the mathematical and statistical knowledge and understanding required to carry out basic and advanced data analysis.
- Develop sufficient skill in the R, Python and SQL programming languages to use them to successfully carry out data analysis to an advanced level.
- Develop a strong understanding of data management, including evaluation, structuring, and cleaning of data for analysis.
- Become familiar with and use the tools and techniques used in data visualisation
- Develop a comprehensive knowledge of classical data analytics, including statistical inference, predictive modelling, time series analysis and data reduction.
- Become familiar with and apply common machine learning techniques to business and other problems in order to uncover options and solutions for them.
- Develop an understanding of essential concepts from contemporary themes in business.
- Understand, evaluate and apply data science and analytics within business and organisational contexts.
Admissions Requirements
- Level 1 Diploma in Cyber Security
- A minimum of 3 years’ work experience which demonstrates current and relevant industry knowledge.