Data Analysis Fundamentals | Python | ChatGPT 3.5

Overview

Welcome to "Data Analysis Fundamentals in Python & ChatGPT," a comprehensive course designed to empower learners with essential skills in data analytics. In this course, we will delve into the fundamental concepts and techniques of data analysis using the Python programming language, coupled with the integration of ChatGPT for streamlined coding experiences.

This course aims to provide a holistic understanding of data analysis, from rapid data processing to effective visualization, ensuring participants are well-prepared to handle real-world data challenges.

Syllabus

• **Introduction to Data Analysis**
Overview of data analysis and its importance
Key concepts and terminology
• **Python Basics for Data Analysis**
Python programming fundamentals
Introduction to data structures: lists, tuples, dictionaries
• **Working with Libraries**
Introduction to NumPy for numerical data handling
Introduction to Pandas for data manipulation
• **Data Cleaning and Preprocessing**
Identifying and handling missing data
Data transformation techniques
Data normalization and standardization
• **Data Exploration and Visualization**
Exploratory Data Analysis (EDA) techniques
Visualization using Matplotlib
Advanced visualizations with Seaborn
• **Integration of ChatGPT for Coding Assistance**
Setting up and using ChatGPT for Python code generation
Practical examples of ChatGPT in streamlining code development
• **Statistical Data Analysis**
Descriptive statistics
Inferential statistics and hypothesis testing
• **Working with Relational and Non-relational Data**
Introduction to databases and SQL
Basics of NoSQL databases
• **Advanced Data Analysis Techniques**
Introduction to machine learning concepts
Basic ML models implementation with Scikit-learn
• **Real-world Data Analysis Projects**
Project planning and execution
Hands-on project using real-world datasets
• **Course Summary and Next Steps**
Recap of key concepts learned
Guidance for further learning and practice

---

Taught by

Analytix AI

---

Subjects

Data Science