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Group 2 - Big Data Analytics / Data Science
Group 1 - Big Data Analytics / Data Science
266 Students enrolled
Created by: Arta Abdullahu
Last Updated: 18th February 2022
English
Requirements
Group 1 - Big Data Analytics / Data Science
Description
Group 1 - Big Data Analytics / Data Science
Content
Chapter 1- Introduction to Data Science
Data Science Fundamentals
Type of data using/ source of data/ data pipeline
Big Data Analytics / Data Science - Lessons
Chapter 2 - Introduction to Data Structures
Type of data using/ source of data/ data pipeline
Chapter 3- Understanding the Data Ecosystem
Chapter 4 - Introduction to Visualization
data visualization
Data Visualization
Chapter 5 - Introduction to Visualization and Dataset
Working with dataset
Working with dataset
Chapter 6 - Working with Dataset (Introduction to SQL)
Fundamentals of Database Systems
Fundamentals of Database Systems
Chapter 7 - Working with Dataset
SQL Queries
Chapter 8 - Metadata
Working with Data/Metadata
Chapter 9 - Working with Data in SQL Server
Continue with more advanced query
Chapter 10 - Working with Advanced Data in SQL Server
Continue with more advanced query
Chapter 11 - Introduction for Python
Introduction to Python using Visual Code
Chapter 12 - Programming with Python
Programming with Python (Decision Making, Loops, Numbers and String)
Programming with Python (Lists, Array, operators)
Programming in python using libraries
Chapter 13 - Data analysis using Pandas
Introduction to Pandas in Python
Filter data frame based on index value in Python
Practice DataFrame (rows and columns; sort)
Grouping and Aggregating - Analyzing and Exploring Your Data/Cleaning Data - Casting Datatypes and Handling Missing Values
Cleaning Data and Working with Dates and Time Series Data
Matplotlib
Ploty, Scatter Plots, Open-High-Low-Close (OHLC) Chart etc
Matplotlib - Read, Parse, and Write CSV Files (Analyzing Data from CSVs)
Filling Area on Line/HistogramsScatter Plots/Plotting Time Series Data
Plotting Time Series Data/ Plotting Live Data in Real-Time/ Subplots
Subplots ...
Subplots and Reading/Writing Data to different Sources
Python Matplotlib
Python Matplotlib cont.
Chapter 14 - Validation, and Evaluation of Machine Learning Methods and Advanced Analytic Techniques
Machine Learning Methods and Advanced Analytic Techniques
Chapter 15 - Hadoop
Introduction to Hadoop
Chapter 16 - Architecture for Big Data and Data Engineering
Architecture for Big Data and Modules
Chapter 17 - Gradient Boosting Algorithms and Kaggle competitions
Learn what gradient boosting algorithms are, why they are so performant, and how to get started with Kaggle competitions.
Chapter 18 - Using SQL with Python
Python and MySQL Database: A Practical Introduction
Python MySQL - functions queries
Examples of Mysql programming in Python
Examples of Mysql programming in Python
Examples of Mysql programming in Python
Sample plots in Matplotlib
Material Summary and Final Exam
Material Summary and Final Exam
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Arta Abdullahu
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