This 3-day course provides you an introduction to Data Science and why is Data Science and Data Important. Candidates are provided with the basic knowledge and understanding of Data Science concepts and tools along with real business examples.
The purpose of this qualification level is to confirm that a candidate is well versed in the introductory Data Science concepts in the cognitive levels of knowledge and understanding and be able to understand basic terms, concepts and terminology, along with knowing the basic tools that can be used in real life cases.
TARGET AUDIENCE:
This course is aimed at anyone who wishes to obtain awareness of the basic principles of Data Science and requires candidates to have and demonstrate a thorough knowledge and understanding of Data Science terms, concepts, tools, and principles. It is intended for candidates who have no technical background and/or related experience, primarily professionals of any field and in general anyone who wants to obtain awareness of the basic principles of Data Science. The certification can also cater for candidates seeking personal certification.
This course will provide all the required levels of knowledge to its holders and will certify that they have a thorough understanding of Data Science fundamentals and are aware of its application and uses in the real world.
COURSE PREREQUISITES:
• None
COURSE CONTENT:
Day #1
• Introduction to Data Science
• Why is Data Science and Data important?
• Common Tools used in Data Science
• Data Science and Programming
• Recap and Q&A
Day #2
• Data Management
• Data Governance
• Business Intelligence & Visualization of Data
Day #3
• Statistics
• Machine Learning (ML)
• Artificial Intelligence (AI)
• Recap and Q&A
COURSE OBJECTIVE:
At this qualification level, candidates will be introduced to basic concepts, principles, and philosophies of Data Science. Holders of the PeopleCert Data Science: Foundation will be able to demonstrate their knowledge, understanding and practical application of:
• The basics of Data Science
• Key concepts of Programming (with R/Python)
• Key concepts of Data Management
• Probability and Statistics
• The basics of Machine Learning
• The basics of Artificial Intelligence (AI)
• Key Concepts of Visualization
• Data Governance, Ethics, Data Privacy and Protection
FOLLOW ON COURSES:
Not available. Please contact.