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Mastering Python for AI & Data Science - Course Details
Python Programming

Mastering Python for AI & Data Science

From foundational concepts to advanced AI applications, this course offers a complete journey into Python programming, focusing on its powerful capabilities in data science, machine learning, and artificial intelligence.

4.9
52 Lessons
30 Hours
₹599 ₹5,999 90% OFF
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Mastering Python for AI & Data Science

Course Highlights

What You'll Achieve

  • Gain a deep understanding of Python syntax, data structures, and object-oriented programming
  • Master data manipulation and analysis with NumPy and Pandas
  • Create compelling data visualizations using Matplotlib and Seaborn
  • Implement fundamental machine learning algorithms from scratch
  • Build and train neural networks using TensorFlow or PyTorch
  • Apply Python for web scraping, automation, and basic scripting
  • Develop a portfolio of AI and data science projects
  • Understand best practices for writing clean and efficient Python code

Key Features

  • Extensive Code Examples & Practice Problems
  • Real-world Case Studies
  • Interactive Coding Environment Setup Guide
  • Access to Private Discord Community
  • Regular Live Q&A Sessions

Tools & Technologies

  • Python 3
  • Jupyter Notebook
  • Anaconda
  • NumPy
  • Pandas
  • Matplotlib
  • Scikit-learn
  • TensorFlow/PyTorch

Target Audience

  • Beginner programmers
  • Data Analysts
  • Aspiring AI/ML Engineers
  • Researchers and Scientists

Prerequisites

  • Basic computer literacy

Detailed Curriculum

Module 1: Module 1: Python Fundamentals

  • Lesson 1: Setting Up Your Python Environment
  • Lesson 2: Variables, Data Types, and Operators
  • Lesson 3: Control Flow: If/Else, Loops
  • Lesson 4: Functions and Modules
  • Lesson 5: Object-Oriented Programming (OOP) in Python

Module 2: Module 2: Data Handling with NumPy and Pandas

  • Lesson 1: Introduction to NumPy for Numerical Computing
  • Lesson 2: Pandas DataFrames for Data Manipulation
  • Lesson 3: Data Cleaning and Preprocessing Techniques
  • Lesson 4: Merging, Joining, and Grouping Data
  • Lesson 5: Time Series Analysis Basics

Module 3: Module 3: Data Visualization

  • Lesson 1: Matplotlib for Basic Plotting
  • Lesson 2: Advanced Visualizations with Seaborn
  • Lesson 3: Interactive Plots with Plotly
  • Lesson 4: Customizing Plots for Presentations
  • Lesson 5: Telling Stories with Data

Module 4: Module 4: Introduction to Machine Learning

  • Lesson 1: ML Concepts: Supervised vs. Unsupervised Learning
  • Lesson 2: Regression Algorithms (Linear, Logistic)
  • Lesson 3: Classification Algorithms (K-NN, SVM, Decision Trees)
  • Lesson 4: Model Evaluation and Hyperparameter Tuning
  • Lesson 5: Introduction to Scikit-learn

Module 5: Module 5: Deep Learning & Neural Networks

  • Lesson 1: Introduction to Neural Networks
  • Lesson 2: Building Neural Networks with TensorFlow/Keras
  • Lesson 3: Convolutional Neural Networks (CNNs) for Image Data
  • Lesson 4: Recurrent Neural Networks (RNNs) for Sequence Data
  • Lesson 5: Transfer Learning and Pre-trained Models

Module 6: Module 6: Advanced Topics & Projects

  • Lesson 1: Natural Language Processing (NLP) Basics
  • Lesson 2: Ethical AI and Bias in Data
  • Lesson 3: Deployment of ML Models (Flask/Streamlit)
  • Lesson 4: Capstone Project: Develop a Predictive Model

What Our Students Say

(5/5)

"As a complete beginner, this Python course was incredibly well-structured and easy to follow. I'm now confidently building my own AI scripts!"

- Priya Singh

(4.5/5)

"The depth of coverage on Pandas and TensorFlow was impressive. The practical exercises were challenging but rewarding."

- Rahul Khanna

Frequently Asked Questions

Is this course suitable for beginners?

Absolutely! This course starts from the very basics of Python and gradually moves to advanced AI topics, making it ideal for beginners.

What kind of projects will I build?

You will build projects ranging from data analysis scripts, predictive models, image classification tools, to a basic smart assistant.

Will I learn about specific AI libraries?

Yes, we extensively cover NumPy, Pandas, Matplotlib, Scikit-learn, and delve into TensorFlow/Keras for deep learning.

Earn Your Certification

A comprehensive certificate in "Mastering Python for AI & Data Science" will be awarded, signifying your expertise in the field.

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