Udemy – Advance Python | Python for Datascience 2023-11

Udemy – Advance Python | Python for Datascience 2023-11 Downloadly IRSpace

Apr 18, 2025 - 04:37 Updated: Apr 21, 2025 - 10:53

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Udemy – Advance Python | Python for Datascience 2023-11

Advance Python Course | Easy to learn, Python for Datascience is designed for all levels of students. This course is designed for students who are eager to master Python and pursue a career as a data analyst or data scientist. This course comprehensively covers advanced Python concepts and provides students with a strong foundation in programming and data analysis with a focus on data analysis, data visualization, and machine learning.

What you will learn:

Python basics
Part 1: Dive into the basics of Python
Part II: Further exploration of Python basics
Advanced Python concepts
List Comprehension and Generators
file management
Exception Handling
Object Oriented Programming (OOP)
Decorators and Metaclasses
NumPy (extensive library coverage):
Arrays and array operations
Array indexing and truncation
Broadcasting and Vectorization
Mathematical functions and linear algebra
Array manipulation and rearrangement
Pandas (extensive library coverage):
Pandas data structure
Data manipulation and manipulation
Data cleaning and preprocessing
Amalgamation, merger and reorganization
Display data:
Advanced Matplotlib techniques
Seaborn for displaying statistical data
Plotly for interactive displays
Geospatial Data Analysis
Machine learning with Scikit-learn (extensive library coverage):
Linear Regression
Logistic Regression
Support Vector Machine (SVM), Decision Tree, Random Forest
Unsupervised Learning
Model Validation Techniques
Hyperparameter tuning and model selection
Case studies and projects:
House rent forecast
Prediction of heart disease
Customer segmentation

Who is this course suitable for?

Students interested in exploring data analysis, cleaning, and preprocessing techniques using Python will find this course useful for understanding how to work with data.
For students eager to expand their knowledge beyond basic programming, this course covers advanced Python concepts, object-oriented programming, and more.
Students who want to learn advanced Python concepts and are interested in the field of data science.
Students and professionals in the field of machine learning and artificial intelligence who are looking to strengthen their understanding of Python for implementation and data analysis.
Data analysts and data scientists looking to use Python for advanced data manipulation, analysis, and visualization tasks.

Advance Python course specifications Python for Datascience

Publisher: Udemy
Instructor: Selfcode Academy
Training level: beginner to advanced
Training duration: 9 hours and 44 minutes
Number of courses: 24

Course topics on 12/2023

Advance Python course prerequisites Python for Datascience

Students should have understanding of fundamental Python concepts, including variables, data types, loops, and functions.
A genuine interest in working with data, conducting data analysis, and implementing machine learning models is crucial to fully benefit from the course content.
A foundational knowledge of basic mathematical concepts, such as algebra and statistics, will be helpful for comprehending certain aspects of data analysis, machine learning, and numerical computing.