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Big Data Analytics / Data Science 2
Big Data Analytics / Data Science 2
248 Students enrolled
Created by: Freda Dyrkaj
Last Updated: 16th February 2023
Shqip (Albanian)
Requirements
Big Data Analytics / Data Science 2
Description
Big Data Analytics / Data Science 2
Content
Chapter 1 - Introduction to Data Science
Introduction to Data Science
Introduction to Data Sceince
Introduction to Data Sceince
Chapter 2- Introduction to Python Language
Programming Concepts
Variables
Tuples+Files
Functions
Dictionaries
Exercises
If-Else Statements
Variables_Lists
Files_Exercises
Chapter 3 - Data Wrangling With Pandas
Introduction to Data Wrangling
Exercises
Introduction Pandas
Chapter 4 - Introduction to Analytics and Visualization
NumPy Exercises
NumPy-Visualization
Introduction to Analytics
Project_MatplotLib
Chapter 5 - Introduction to SQL
SQL_QUERY
SQL_Exercises
Introduction to DBMS
Chapter 6 - Introduction to MongoDb-Hadoop
Introduction to MongoDb-Hadoop
Chapter 7 - Introduction to DataMinig with Python
Data Mining using Python
Introduction to Data Mining
Chapter 8 - Advanced Analytics
Multiple Regression-Exercises
Visualization for Regression Analysis
Regression-Exercises Python
Regression-Exercises Python
Introduction to BI
Linear Regression
Logistic Regression
ProjectNr1_Presentation
Introduction to Advanced Analytics
Multiple Regression
Logistic Regression-Exercises Python
ProjectNr1_Presentation_2
Chapter 9 - Interacting with Databases - SQL
Introduction to ER Model
Relational Model
SQL Constraints
SQL Select_Where
SQL Index_View_Data
SQL Joins
SQL GroupBy,Having,Exists
Sql Exercises
SQL Stored Procedures
Chapter 10 - Using Databases in Python
Python connect with Mysql
Python Sql Exercises
Functions and Queries in PythonMysql
Project_Nr2-Model
Chapter 11 - Predictive Modeling and Analytics
Predictive Modeling and Analytics
Predictive Modeling and Analytics
Scaling Data Analytics
Chapter 12 - Advanced analytics techniques and their applications in a Business context
What is Microsoft Power BI
Microsoft Power BI Exercises
Chapter 13 - Introduction to Deep Learning
Introduction to Sentiment Analysis
Introduction to time series and forecasting
Data Science at Scale Exercises with Python
Project_Nr3-Presentation Part1
SQL and Data Frames Module
Chapter 14 - Final Project-Exam
Final Projcet - Presentation
Repeat all chapters
Final Exam
Final Projcet - Presentation
Final Projcet - Final Exam Results-End Course
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Freda Dyrkaj
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