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

• Pandas cookbook
• Pandas Exercises
• Effective Pandas
• Learn Pandas
• Python for Data Science
• Pandas Workshop