Overview
Master the Key Areas of Data Analytics from Basic Concept to Hands-on Application with Easy Python Coding and ChatGPT.
Syllabus
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- **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
Tags
On-Demand
