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S9_Big Data Analytics / Cloud Computing Gr_1
S9_Big Data Analytics / Cloud Computing Gr_1
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_1
Description
S9_Big Data Analytics / Cloud Computing Gr_1
Content
Introduction
Chapter 1 - Introduction to Big Data Analytics/Data Science
The Data Science Pipeline| Role of Data Scientists
Chapter 2 - Foundations of Data Science
The Foundations of Data Science
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
Data Structures|Lists: Creating, accessing, and modifying lists.|Tuples.|Dictionaries| Tasks
Chapter 4 - Python for Data Analysis
Python Pandas DataFrame| DataFrame from dict of ndarray/lists: | Dealing with Rows and Columns| Indexing and Selecting Data| Working with Missing Data| Iterating over rows and columns
Form Manipulation with CSV Library in Python|Reading CSV Files with Pandas| Reading Json Files with Pandas
Chapter 5 - Introduction to Data Visualization
Chapter 5 - Introduction to Data Visualization
Histograms and Density Plots| Advanced Plotting Techniques| Data Visualization Best Practices| Real-World Applications|
Chapter 6 - SQL for Big Data
Introduction basic SQL concepts and commands.
Quiz | The Evolution of SQL in Big Data| SQL Technologies for Big Data|
Setting Up a Big Data SQL Environment| Basic SQL Queries in Big Data
Essential SQL for Data Science| Data Cleaning and Transformation with SQL
Advanced SELECT Statements| Subqueries and Nested Queries:| Common Table Expressions (CTEs)
Essential SQL for Data Science| Data Cleaning and Transformation with SQL
Exploratory Data Analysis (EDA) with SQL| Feature Engineering with SQL
Case Studies and Real-World Applications| QUIZ
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Arta Abdullahu
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Arber Kukaj
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