Advance Python
Elevate your Python proficiency with our Advanced Python course, meticulously designed for learners of all backgrounds. Tailored for those aspiring to excel in Python and embark on careers as data ana...
- All levels
- English

Course Description
Elevate your Python proficiency with our Advanced Python course, meticulously designed for learners of all backgrounds. Tailored for those aspiring to excel in Python and embark on careers as data analysts or data scientists, this comprehensive program delves into advanced Python concepts, establishing a solid foundation in programming and data analysis, with a focus on data analysis, visualizatio...
Elevate your Python proficiency with our Advanced Python course, meticulously designed for learners of all backgrounds. Tailored for those aspiring to excel in Python and embark on careers as data analysts or data scientists, this comprehensive program delves into advanced Python concepts, establishing a solid foundation in programming and data analysis, with a focus on data analysis, visualization, and machine learning.
Course Outline:
Introduction to Python:-
Part 1: Delve into Python fundamentals
Part 2: Explore Python basics in-depth
Advanced Python Concepts:-
List Comprehension and Generators
File Handling
Exception Handling
Object-Oriented Programming (OOPs)
Decorators and Metaclasses
NumPy (Expanded Library Coverage):-
Arrays and Array Operations
Array Indexing and Slicing
Broadcasting and Vectorization
Mathematical Functions and Linear Algebra
Array Manipulation and Reshaping
Pandas (Expanded Library Coverage):-
Pandas Data Structures
Data Transformation and Manipulation
Data Cleaning and Preprocessing
Joining, Merging, and Reshaping
Data Visualization:-
Advanced Matplotlib Techniques
Seaborn for Statistical Visualization
Plotly for Interactive Visualizations
Geospatial Data Analysis
Machine Learning with Scikit-learn (Expanded Library Coverage):-
Linear Regression
Logistic Regression
SVM, Decision Tree, Random Forest
Unsupervised Learning
Model Validation Techniques
Hyperparameter Tuning and Model Selection
Case Studies and Projects:-
House Rent Prediction
Heart Disease Prediction
Customer Segmentation
Why Choose Our Course?
In-depth Modules Covering Python, NumPy, Pandas, Data Visualization, and Machine Learning
Hands-on Learning with Real-world Case Studies
Expert-led Sessions for Comprehensive Understanding
Unlock Your Potential in Data Science and Python Programming. Embark on a journey to become a proficient Python data analyst and unlock a world of possibilities with our hands-on practice and expert guidance.
Enrol now to seize rewarding opportunities in data science and analytics!
See more See lessWhat youโll learn
- Introduction to Python
- Advance Python Concepts
- NumPy (Expanded Library Coverage)
- Pandas (Expanded Library Coverage)
- Data Visualization
- Machine Learning with Scikit-learn (Expanded Library Coverage)
- Case Studies and Projects
Covering Topics | Program Insights
Python fundamentals & Further exploration of Python basics
List Comprehension and Generators
Object-Oriented Programming (OOPs)
Decorators and Metaclasses
Arrays and Array Operations
Array Indexing and Slicing
Broadcasting and Vectorization
Mathematical Functions and Linear Algebra
Array Manipulation and Reshaping
Pandas Data Structures
Data Transformation and Manipulation
Data Cleaning and Preprocessing
Joining, Merging, and Reshaping
Advanced Matplotlib Techniques
Seaborn for Statistical Visualization
Plotly for Interactive Visualizations
Geospatial Data Analysis
Linear Regression
Logistic Regression
SVM, Decision Tree, Random Forest
Unsupervised Learning
Model Validation Techniques
Hyperparameter Tuning and Model Selection
House Rent Prediction
Heart Disease Prediction
Customer Segmentation
Curriculum
Frequently Asked Questions
This course includes
- Lectures 7
- Duration 13 Hour
- Month 3 Month
- Language English
- Certificate Yes
Education Provider
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