Advanced Python Course for Data Science

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Advanced Python Course for Data Science

Name: Advanced Python Course for Data Science
Rating: 4.3 (184 reviews)
Author: Selfcode Academy

Master Python for Data Science: Advanced Concepts, Machine Learning, and Real-World Projects

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Selfcode Academy

category icon Development ,Programming Languages,Python

Lectures -29

Duration -12.5 hours

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Course Description

This course is crafted for students aspiring to master Python and dedicated to pursuing careers as data analysts or data scientists. It comprehensively covers advanced Python concepts, providing students with a strong foundation in programming and data analysis, focusing on data analysis, visualization, and machine learning.

Discover the power of Python in handling complex data, creating engaging visuals, and building intelligent machine-learning models.

Course Curriculum:

1. Introduction to Python:

Part 1: Dive into Python fundamentals.
Part 2: Further exploration of Python basics.

2. Advance Python Concepts:

List Comprehension and Generators.
File Handling.
Exception Handling.
Object-Oriented Programming (OOPs).
Decorators and Metaclasses.

3. NumPy (Expanded Library Coverage):

Arrays and Array Operations.
Array Indexing and Slicing.
Broadcasting and Vectorization.
Mathematical Functions and Linear Algebra.
Array Manipulation and Reshaping.

4. Pandas (Expanded Library Coverage):

Pandas Data Structures.
Data Transformation and Manipulation.
Data Cleaning and Preprocessing.
Joining, Merging, and Reshaping.

5. Data Visualization:

Advanced Matplotlib Techniques.
Seaborn for Statistical Visualization.
Plotly for Interactive Visualizations.
Geospatial Data Analysis.

6. 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.

7. Case Studies and Projects:

House Rent Prediction.
Heart Disease Prediction.
Customer Segmentation.

Target Audience:

Aspiring data analysts and data scientists.

Why choose this 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.

With hands-on practice and expert guidance, you'll be prepared for rewarding opportunities in data science and analytics.

Join us now to become a proficient Python data analyst and unlock a world of possibilities!

Goals

Python Fundamentals: The course starts with a deep dive into Python basics.
Advanced Python Concepts: Includes list comprehension, generators, file handling, exception handling, and object-oriented programming.
NumPy: Teaches complex data handling.
Pandas: Focuses on data manipulation, cleaning, and operations.
Advanced Data Visualization: Covers Matplotlib, Seaborn, and Plotly, with geospatial data analysis.
Machine Learning: Includes Scikit-learn for various algorithms like linear regression, logistic regression, SVM, decision tree, random forest, unsupervised learning, and model validation.
Practical Application: Hands-on projects like house rent prediction and heart disease prediction.
Learning Approach: Hands-on learning and expert-led sessions.
Course Outcome: Prepares students for data science and analytics careers, unlocking potential in Python and data analysis.

Prerequisites

Basic Programming Knowledge:
- Familiarity with basic programming concepts, such as variables, loops, conditional statements, and functions, would be beneficial.
Introductory Python Skills:
- While the course covers Python comprehensively, having a basic understanding of Python syntax and programming structures beforehand would help participants grasp advanced Python concepts more easily.
Mathematics and Statistics Fundamentals:
- Some familiarity with fundamental mathematical and statistical concepts may be useful, especially when delving into machine-learning topics.
Data Analysis Awareness:
- An awareness of the basics of data analysis concepts could be beneficial, though the course likely covers these aspects as part of its curriculum.

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction to Python

2 Lectures

Introduction to python (part-1) 27:45 27:45
Introduction to python (part-2) 27:53 27:53

Advanced Python Concepts

5 Lectures

NumPy (expand on the basic library coverage)

5 Lectures

Pandas (expand on the basic library coverage)

4 Lectures

Data Visualization

4 Lectures

Machine Learning with Scikit-learn (expand on the basic library coverage)

6 Lectures

Case Studies and Projects

3 Lectures

Instructor Details

Selfcode Academy

At SelfCode Academy, we are more than just an educational platform; we are the gateway to unlocking the world of coding and technology. As a premier EdTech brand, we are dedicated to empowering individuals with the skills and knowledge they need to thrive in the digital age.

Our mission is to demystify the world of coding and make it accessible to everyone, regardless of their background or prior experience. We understand that technology is shaping the future, and coding is its language. That's why we have curated a range of comprehensive coding courses that cater to beginners, intermediate learners, and even seasoned programmers looking to upskill.

What sets SelfCode Academy apart is our commitment to excellence in education. Our courses are meticulously designed by industry experts to ensure relevance, practicality, and engagement. Through our user-friendly online platform, learners can access a variety of programming languages, development tools, and project-based learning opportunities.

We recognize that each individual learns at their own pace, which is why our courses are self-paced, allowing learners to progress in a way that suits their schedule and preferences. We provide a supportive learning environment with dedicated instructors, a vibrant community forum, and interactive resources that facilitate both independent and collaborative learning.

At SelfCode Academy, we believe that coding is not just a skill, but a mindset that fosters creativity, problem-solving, and innovation. Our vision is to equip learners with the ability to turn their ideas into tangible digital solutions, whether it's building websites, developing apps, or shaping the technologies of tomorrow.

Join us on a transformative journey where you'll gain more than just coding skills – you'll gain the confidence to navigate a tech-driven world and make your mark on it. Welcome to SelfCode Academy, where your coding aspirations become a reality.