Description
Curriculum
Instructor
Course Overview
1. Data Science Foundation
- Introduction to data science, its evolution, and terminologies.
- Differences between data science, business analytics, and big data.
- Understanding analytics types (descriptive, predictive, prescriptive).
- Industry roles, project workflows, and real-world applications.
Main Objective:
- Provide foundational knowledge about data science and analytics for general understanding
Curriculum
- 1 Section
- 13 Lessons
- Lifetime
Expand all sectionsCollapse all sections
- Data and Analytics14
- 1.1Definition, Similarities, and Differences between Data Science and Analytics.
- 1.2Types of Data in Data Science and Analytics
- 1.3Data Preprocessing.
- 1.4Data Quality Assessment.
- 1.5Sources of Traditional and Big Data.
- 1.6Career Pathways in Data Science and Analytics.
- 1.7Data Science Explaining the Past(Descriptive Analytics)
- 1.8Predictive Analytics.
- 1.9Introduction to Artificial Intelligence.
- 1.10Introduction to Generative Artificial Intelligence and Large Language Model.
- 1.11Data Governance and Privacy
- 1.12Modern Data Management Practices.
- 1.13Programming Languages, Software and Frameworks.
- 1.14Data Science and Analytics Foundation Quiz30 Minutes20 Questions
Xaviour Aluku
90 Students1 Course
Review
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