Generative AI & ChatGPT Mastery for Data Science and Python | Udemy

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Welcome to “Generative AI & ChatGPT Mastery for Data Science and Python” course.
Master Generative AI, ChatGPT and Prompt Engineering for Data Science and Python from scratch with hands-on projects

Artificial Intelligence (AI) is transforming the way we interact with technology, and mastering AI tools has become essential for anyone looking to stay ahead in the digital age.

In today’s data-driven world, the ability to analyze data, draw meaningful insights, and apply machine learning algorithms is more crucial than ever. This course is designed to guide you through every step of that journey, from the basics of Exploratory Data Analysis (EDA) to mastering advanced machine learning algorithms, all while leveraging the power of ChatGPT-4o.

Data science application is an in-demand skill in many industries worldwide — including finance, transportation, education, manufacturing, human resources, and banking. Explore data science courses with Python, statistics, machine learning, and more to grow your knowledge. Get data science training if you’re into research, statistics, and analytics.

Machine learning describes systems that make predictions using a model trained on real-world data. For example, let’s say we want to build a system that can identify if a cat is in a picture. We first assemble many pictures to train our machine learning model. During this training phase, we feed pictures into the model, along with information about whether they contain a cat. While training, the model learns patterns in the images that are the most closely associated with cats. This model can then use the patterns learned during training to predict whether the new images that it’s fed contain a cat.

A machine learning course teaches you the technology and concepts behind predictive text, virtual assistants, and artificial intelligence. You can develop the foundational skills you need to advance to building neural networks and creating more complex functions through the Python and R programming languages.

We have more data than ever before. But data alone cannot tell us much about the world around us. We need to interpret the information and discover hidden patterns. This is where data science comes in. Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction.

Python instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels.
Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python, python programming, python examples, python example, python hands-on, pycharm python, python pycharm, python with examples, python: learn python with real python hands-on examples, learn python, real python

Python’s simple syntax is especially suited for desktop, web, and business applications. Python’s design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python’s large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.

What This Course Offers:

In this course, you will gain a deep understanding of the entire data analysis and machine learning pipeline. Whether you are new to the field or looking to expand your existing knowledge, our hands-on approach will equip you with the skills you need to tackle real-world data challenges.

You’ll begin by diving into the fundamentals of EDA, where you’ll learn how to explore, visualize, and interpret datasets. With step-by-step guidance, you’ll master techniques to clean, transform, and analyze data to uncover trends, patterns, and outliers—key steps before jumping into predictive modeling.

Why ChatGPT-4o?

This course uniquely integrates ChatGPT-4o, the next-gen AI tool, to assist you throughout your learning journey. ChatGPT-4o will enhance your productivity by automating tasks, helping with code generation, answering queries, and offering suggestions for better analysis and model optimization. You’ll see how this cutting-edge AI transforms data analysis workflows and unlocks new levels of efficiency and creativity.

Mastering Machine Learning:

Once your foundation in EDA is solid, the course will guide you through advanced machine learning algorithms such as Logistic Regression, Decision Trees, Random Forest, and more. You’ll learn not only how these algorithms work but also how to implement and optimize them using real-world datasets. By the end of the course, you’ll be proficient in selecting the right models, fine-tuning hyperparameters, and evaluating model performance with confidence.

What You’ll Learn:

• Exploratory Data Analysis (EDA): Master the techniques for analyzing and visualizing data, detecting trends, and preparing data for modeling.
• Machine Learning Algorithms: Implement algorithms like Logistic Regression, Decision Trees, and Random Forest, and understand when and how to use them.
• ChatGPT-4o Integration: Leverage the AI capabilities of ChatGPT-4o to automate workflows, generate code, and improve data insights.
• Real-World Applications: Apply the knowledge gained to solve complex problems and make data-driven decisions in industries such as finance, healthcare, and technology.
• Next-Gen AI Techniques: Explore advanced techniques that combine AI with machine learning, pushing the boundaries of data analysis.

Why This Course Stands Out:

Unlike traditional data science courses, this course blends theory with practice. You won’t just learn how to perform data analysis or build machine learning models—you’ll also apply these skills in real-world scenarios with guidance from ChatGPT-4o. The hands-on projects ensure that by the end of the course, you can confidently take on any data challenge in your professional career.

In this course, you will Learn:

• • What is Artificial Intelligence?
  • Artificial Narrow Intelligence (ANI)
  • Artificial General Intelligence (AGI)
  • Artificial Super Intelligence (ASI)
  • Subsets of Artificial Intelligence – Machine Learning
  • Subsets of Artificial Intelligence – Deep Learning
  • Machine Learning vs. Deep Learning
  • Machine Learning Study with a Real Example
  • Large Language Models(LLM)
  • Natural Language Processing(NLP)
  • A Warning Before Switching to ChatGPT
  • Revolutionary of the Era: OpenAI
  • The Revolution of the Age: Creating a ChatGPT Account
  • Let’s Get to Know the ChatGPT Interface
  • ChatGPT: Differences Between Versions
  • Differences in the ChatGPT-4 Interface
  • ChatGPT’s Endpoints
  • ChatGPT’s Secret to More Accurate Answers: Prompt
  • Prompt Engineering Power
  • Summary of Prompt Engineering Fundamentals
  • Prompt Engineering: Sample Prompts
  • Best Questions in Prompt Engineering
  • Summary of the Best Questions in Prompt Engineering
  • Reinforcing the topic through a scenario
  • Drawing a Roadmap to the Prompt
  • Directed Writing Request
  • Clear Explanation Method
  • Example-Based Learning
  • RGC(Role, Goals, Context)
  • Constrained Responses
  • Adding Visual Appeal
  • Prompt Updates
  • ChatGPT-Google Extension
  • Email Writing
  • Summarizing YouTube Videos
  • Talk to ChatGPT
  • Quick Access to ChatGPT
  • Dive Into Websites
  • Get Prompt Assistance
  • Using the ChatGPT API
  • File Reading
  • Visual Reading
  • Visual Generation (DALL-E Introduction)
  • Enhancing Images with DALL-E
  • Improving Visuals Through Ready-Made Prompts
  • Combining Images
  • A Helper Site for Visual Prompts
  • GPTs
  • Create Your Own GPT
  • Useful GPTs
  • Big News: Introducing ChatGPT-4o
  • How to Use ChatGPT-4o?
  • Chronological Development of ChatGPT
  • What Are the Capabilities of ChatGPT-4o?
  • As an App: ChatGPT
  • Voice Communication with ChatGPT-4o
  • Instant Translation in 50+ Languages
  • Interview Preparation with ChatGPT-4o
  • Visual Commentary with ChatGPT-4o
  • Getting to know the dataset using ChatGPT
  • Getting started with Exploratory Data Analysis(EDA) using ChatGPT
  • Perform Univariate Analysis using ChatGPT
  • Perform Bivariate Analysis using ChatGPT
  • Perform Multivariate Analysis using ChatGPT
  • Perform Correlation Analysis using ChatGPT
  • Prepare data for machine learning model using ChatGPT
  • Create a machine learning model using the Linear Regression algorithm with ChatGPT
  • Develop machine learning model using ChatGPT
  • Perform Feature Engineering using ChatGPT
  • Performing Hyperparameter Optimization using ChatGPT
  • 2.1 Loading Dataset using ChatGPT
  • Perform initial analysis on Dataset using ChatGPT
  • Performing the first operation on the Dataset using ChatGPT
  • Tackling Missing values ​​using ChatGPT
  • Performing Bivariate analysis with CatPLot using ChatGPT
  • Performing Bivariate analysis with KdePLot using ChatGPT
  • Examining the correlation of variables using ChatGPT
  • Perform a get_dummies operation using ChatGPT
  • Prepare for Logistic Regression modeling using ChatGPT
  • Create a Logistic Regression model using ChatGPT
  • Examining evaluation metrics on the Logistic Regression model using ChatGPT
  • Perform a GridSearchCv operation using ChatGPT
  • Model reconstruction with best parameters using ChatGPT

Summary

• Beginners who want a structured, comprehensive introduction to data analysis and machine learning.
• Data enthusiasts looking to enhance their AI-driven analysis and modeling skills.
• Professionals who want to integrate AI tools like ChatGPT-4o into their data workflows.
• Anyone interested in mastering the art of data analysis, machine learning, and next-generation AI techniques.

What You’ll Gain:

By the end of this course, you will have a robust toolkit that enables you to:

• Transform raw data into actionable insights with EDA.
• Build, evaluate, and fine-tune machine learning models with confidence.
• Use ChatGPT-4o to streamline data analysis, automate repetitive tasks, and generate faster results.
• Apply advanced AI techniques to tackle industry-level problems and make data-driven decisions.

This course is your gateway to mastering data analysis, machine learning, and AI, and it’s designed to provide you with both the theoretical knowledge and practical skills needed to succeed in today’s data-centric world.

Join us on this complete journey and unlock the full potential of data with ChatGPT-4o and advanced machine learning algorithms. Let’s get started!

Video and Audio Production Quality

All our videos are created/produced as high-quality video and audio to provide you the best learning experience.

You will be,

• Seeing clearly
• Hearing clearly
• Moving through the course without distractions

You’ll also get:

Lifetime Access to The Course

Fast & Friendly Support in the Q&A section

Udemy Certificate of Completion Ready for Download

Dive in now!

We offer full support, answering any questions.

See you in the “Generative AI & ChatGPT Mastery for Data Science and Python” course.
Master Generative AI, ChatGPT and Prompt Engineering for Data Science and Python from scratch with hands-on projects