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S9_Big Data Analytics / Cloud Computing Gr_2
S9_Big Data Analytics / Cloud Computing Gr_2
153 Students enrolled
Created by: Arta Abdullahu, Arber Kukaj, Arber Kukaj
Last Updated: 24th September 2024
English
Requirements
S9_Big Data Analytics / Cloud Computing Gr_2
Description
S9_Big Data Analytics / Cloud Computing Gr_2
Content
Introduction
Introduction
Entrance Test
Cloud Concepts
Task #1
Cloud History & Types
Task #2
Cluster Computing
Actors and Roles
Task #3
IaaS,PaaS and SaaS
Models
Task #5
Sub Models
Task #4
Project Azure
Microsoft VM
MS Azure Kybernetes Services (AKS), MS Azure Storage, MS Azure Networking
VM for Machine Learning, Database availability, Azure SQL Database, Security in Azure SQL, Azure SQL Managed Instance Deployment Options, Create Azure SQL Database
Chapter 1 - Introduction to Big Data Analytics/Data Science
The Foundations of Data Science
Chapter 2 - Foundations of Data Science
The Data Science Pipeline| Role of Data Scientists
Applications of Data Science| Data Science Tools and Technologies| Data Science Ethics and Privacy| Challenges and Opportunities
Case Studie| Future Trends in Data Science| Data Collection and Preprocessing
Chapter 3 - Python for Beginners
Introduction to Python|Overview of Python and its features.|Setting up Python environment (installation, IDEs).|Writing and executing your first Python program.
Basic Python Concepts|Variables and data types (integers, floats, strings, booleans).|Basic arithmetic and string operations.Understanding and using Python's built-in functions.|Introduction
Control Flow and Functions|Conditional statements (if, elif, else).|Introduction to logical operators (and, or, not).|ntroduction to loops (for loops, while loops).|Writing and using function
Chapter 4 - Python for Data Analysis
Chapter 5 - Introduction to Data Visualization
Chapter 6 - SQL for Big Data
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