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Big Data Analytics / Data Science 1
Big Data Analytics / Data Science 1
154 Students enrolled
Created by: Arta Abdullahu
Last Updated: 22nd February 2023
Shqip (Albanian)
Requirements
Big Data Analytics / Data Science 1
Description
Big Data Analytics / Data Science 1
Content
Chapter 1 - Introduction to Data Science
Data Science
Types of data analysis, Types of jobs in Data Analytics, Database administrator
Fundamental areas of study in data science
Data Collection and Storage
Preparation, Exploration, and Visualization
Data Science: Theories, Models and Analytics
Data Science: Theories, Models and Analytics count
Training and implementation of practical exercise on Big Data Analytics Group 1 (4h)
Training and implementation of practical exercise on Big Data Analytics Group 1 (4h)
Training and implementation of practical exercise on Big Data Analytics Group 1
Training and implementation of practical exercise on Big Data Analytics Group 1
Training and implementation of practical exercise on Big Data Analytics Group 1
Training and implementation of practical exercise on Big Data Analytics Group 1
Training and implementation of practical exercise on Big Data Analytics Group 1
Training and implementation of practical exercise on Big Data Analytics Group 1
Training and implementation of practical exercise on Big Data Analytics Group 1 (4h)
Training and implementation of practical exercise
Training and implementation of practical exercise
Chapter 2 - Python Programming Fundamentals
Introduction to Python
Introduction to Python cont.
Python: String, Operators
Python: Lists
Loops
Chapter 2 - Python Programming Fundamentals
Training and implementation of practical exercise on Big Data Analytics Group 1 (4h)
Training and implementation of practical exercise on Big Data Analytics Group 1 (4h)
Training and implementation of practical exercise on Big Data Analytics Group 1 (4h)
Training and implementation of practical exercise on Big Data Analytics Group 1 (4h)
Training and implementation of practical exercise
Python Programming Fundamentals
Variables in Python
Variables in Python (Operators - Artithmetic Operators in Python, Assignment Operators in Python)
User Defined Functions in Python
Chapter 3 - Python for Data Analysis
Python File Open and Write
Python File Open and Write Part 2
Matplotlib Plotting
Matplot Subplot, Scatter Advanced
Matplot libraries - Part 2
Bar Chart
Pandas Series/DataFrame
Pandas Series/DataFrame - Part2
Pandas Series/DataFrame - Part4
Pandas Series/DataFrame - Part3
Pandas/Cleaning Data
Working with large CSV files in Python
Working with large CSV files in Python_Part 2
Training and implementation of practical exercise on Big Data Analytics Group 1 (4h)
Working with large CSV files in Python
Training and implementation of practical exercise
Training and implementation of practical exercise
Training and implementation of practical exercise
Working with large CSV files in Python_Part 2
Working with large CSV files in Python_Part 2
Working with large CSV files in Python_Part 2
Working with large CSV files in Python_Part 2
Training and implementation of practical exercise
Training and implementation of practical exercise
Chapter 4 - Apache Hadoop and MongoDB
Managing Big Data using Apache Hadoop and MongoDB
Chapter 5 - SQL for Big Data
Introduction to SQL
Interacting with Databases - SQL
SQL for Big Data: Introduction to SQL-on-Hadoop frameworks (e.g., Hive, Impala) Working with large datasets using HiveQL Performance tuning for big data queries Introduction to NoSQL database
Data Manipulation and Analysis with SQL and Big Data: Complex queries and transformations on large datasets
Advanced Topics in SQL and Big Data: Window functions and analytics in SQL Working with semi-structured and unstructured data Handling streaming data and real-time analytics Data governance a
Chapter 6 - Optimization and Causal Mechanistic Analysis
Introduction to Optimization: Overview of optimization concepts and terminology Different types of optimization problems (linear, nonlinear, integer, etc.) Mathematical modeling and formulati
Linear Programming, Nonlinear Programming, Integer Programming, Causal Mechanistic Analysis
Chapter 7 - Analyze Data in Excel
Excel Basics for Data Analysis
Chapter 8 - Power BI
Introduction to Power BI, Data Modeling and Transformation, Visualizations and ReportsBuilding interactive reports and dashboards Exploring different types of visualizations (charts, tables,
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