python-data-analysis-public's Introduction

Analitika podatkov v Python-u

Repozitorji za primere in gradiva tečaja Analitika 1: Analitika podatkov v Python-u.

Splošno

Termini:

9.1.2024 ✅
16.1.2024 ✅
23.1.2024 ✅
30.1.2024 ✅
6.2.2024 ✅
13.2.2024 ✅
20.2.2024 ✅
27.2.2024
5.3.2024
12.3.2024
19.3.2024 ali doma (izpit)

Vsebina

Del 1: Uvod v analitiko podatkov in priprava okolja

Namestitev Python-a na sistem Windows
Python virtualno okolje
Priprava razvojnega okolja
Git in Github
Uvod v analitiko podatkov
Jupyter Notebooks

Del 2: Uvod v NumPy

What is NumPy?
Understanding Data Types in Python
NumPy Speed
Example: Data analysis in pure Python
How Vectorization Makes Code Faster
NumPy library
Introduction to Ndarrays
Datatypes
Basic Operations and Universal Functions
Indexing, Slicing and Iterating
Vector Math
Calculating Statistics For 1D ndarrays
Calculating Statistics For 2D ndarrays
Boolean Indexing
Shape Manipulation
Assigning Values
Adding Rows and Columns to ndarrays
Copies and Views
Reading CSV files with NumPy

Del 3: Uvod v Pandas

Understanding pandas and NumPy
Package overview
Installing and Importing Pandas
What kind of data does pandas handle?
Introduction to the Data
Pandas Data Selection
Selecting Rows
Boolean Indexing
Vectorized Operations
Calculate summary statistics
Copy-on-Write (CoW)

Del 4: Priprava in čiščenje podatkov

Del 5: Uvoz podatkov

Del 6: Agregacija, združevanje in transformacija podatkov

Del 7: Pandas napredno

Viri

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