Curriculum
1 Section
13 Lessons
Lifetime
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Data and Analytics
14
1.1
Definition, Similarities, and Differences between Data Science and Analytics.
1.2
Types of Data in Data Science and Analytics
1.3
Data Preprocessing.
1.4
Data Quality Assessment.
1.5
Sources of Traditional and Big Data.
1.6
Career Pathways in Data Science and Analytics.
1.7
Data Science Explaining the Past(Descriptive Analytics)
1.8
Predictive Analytics.
1.9
Introduction to Artificial Intelligence.
1.10
Introduction to Generative Artificial Intelligence and Large Language Model.
1.11
Data Governance and Privacy
1.12
Modern Data Management Practices.
1.13
Programming Languages, Software and Frameworks.
1.14
Data Science and Analytics Foundation Quiz
30 Minutes
20 Questions
Introduction to Data Science & Analytics.
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