Advance Python

4.2 ★★★★ ★

Advance Python

Name: Master Python for Data Science: Advanced Concepts, Machine Learning, and Real-World Projects
Rating: 4.2 (333 reviews)
Author: Selfcode Academy

Python for Datascience

updated on icon Updated on Jul, 2024

language icon Language - English

person icon Selfcode Academy

category icon Python,Data Science

Lectures -29

Duration -12.5 hours

4.2 ★★★★ ★

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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

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

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

This course is designed to empower aspiring data analysts and data scientists with a mastery of Python programming. The comprehensive curriculum begins with a deep dive into Python fundamentals and progresses to advanced concepts, including list comprehension, generators, file handling, exception handling, and object-oriented programming. Extensive coverage of NumPy equips students with the skills to handle complex data, while Pandas is explored for data manipulation, cleaning, and various operations. The course also delves into advanced data visualization techniques using Matplotlib, Seaborn, and Plotly, with a focus on geospatial data analysis. Machine learning is a key component, featuring Scikit-learn for linear regression, logistic regression, SVM, decision tree, random forest, unsupervised learning, and model validation. Practical application is emphasized through case studies and projects, such as house rent prediction and heart disease prediction. Hands-on learning and expert-led sessions ensure a thorough understanding, preparing students for rewarding opportunities in data science and analytics. Unlocking one's potential in Python programming and data analysis is the ultimate goal of this course, providing a pathway to proficiency in the dynamic field of data science.

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.