Advance Python Online Course

₹1200 ~~₹ 4000~~

70% off

This includes following

30 Videos
7 Chapter
Duration : 3 Month
13 Hours
Completion certificate : Yes
Language : English

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!

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

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

Embark on a transformative journey into the world of data science with our comprehensive course designed to equip you with essential skills in Python programming and data analysis. This course is meticulously crafted to provide a well-rounded learning experience, combining theoretical knowledge with hands-on applications.

Key Benefits:

Practical Python Proficiency:

Master Python fundamentals and advanced concepts, including list comprehensions, generators, and object-oriented programming (OOPs).
Acquire skills in file handling and exception management for robust code development.
Harness the flexibility of decorators and metaclasses for advanced Python programming.
Data Manipulation Mastery with NumPy and Pandas:

Dive deep into NumPy for efficient array operations, linear algebra, and mathematical functions.
Unleash the power of Pandas for data structuring, transformation, cleaning, and reshaping.
Visualize Insights with Data Visualization:

Develop advanced data visualization skills using Matplotlib, Seaborn, and Plotly.
Explore geospatial data analysis for location-based insights.
Machine Learning Fundamentals with Scikit-learn:

Implement linear regression, logistic regression, SVM, decision trees, and random forests.
Master unsupervised learning techniques, including clustering.
Fine-tune models with hyperparameter tuning and robust validation strategies.
Real-world Applications through Case Studies:

Apply your skills to real-world scenarios with hands-on case studies.
Gain practical experience by working on projects like House Rent Prediction, Heart Disease Prediction, and Customer Segmentation.
Why Choose Our Data Science with Python Course?

Industry-Relevant Skills: Acquire skills that align with industry demands, making you a valuable asset in the data science job market.

Hands-On Learning: Reinforce theoretical concepts through practical applications, ensuring a well-rounded understanding of data science principles.

Expert Guidance: Learn from experienced instructors with extensive expertise in both Python programming and data science, providing personalized support throughout your learning journey.

Career Advancement: Open doors to diverse career opportunities in data analysis, machine learning, and artificial intelligence with a strong foundation in Python and data science.

Join our Data Science with Python course and empower yourself with the tools and knowledge needed to navigate the evolving landscape of data-driven decision-making. Enroll today for a transformative learning experience!

Who is this course designed for?

This course is designed for individuals aspiring to enter the field of data science. It is suitable for beginners with little or no programming experience as well as professionals looking to enhance their Python and data science skills.

What makes this course unique compared to others?

Our course stands out due to its comprehensive curriculum that covers both Python programming fundamentals and advanced data science concepts. It emphasizes practical applications through hands-on projects and case studies, ensuring a holistic learning experience.

How will this course benefit my career?

By completing this course, you will gain a strong foundation in Python programming and data science, making you well-equipped for roles in data analysis, machine learning, and artificial intelligence. The skills acquired are highly sought after in today's data-centric job market.

Can I take this course if I have no prior programming experience?

Absolutely! This course is designed for individuals with various levels of experience. It starts with the basics of Python programming and progressively covers advanced topics, making it accessible for beginners while challenging enough for those with some coding background.

Are there any prerequisites for enrollment?

There are no specific prerequisites. However, having a basic understanding of fundamental mathematical concepts will be beneficial. The course is structured to accommodate learners with diverse backgrounds.