Overview
Learn Pandas, NumPy, Matplotlib and Statmodels with ChatGPT from Data Analytics to Strategic Decision-Making in Python.
Syllabus
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- **Introduction to Python for Business Analytics**
-- Overview of Python and its applications in business
-- Setting up the Python environment
-- Python basics: syntax, data types, and control structures
- **Data Exploration and Cleaning in Python**
-- Importing and exporting data with Pandas
-- Understanding and visualizing data with Matplotlib and Seaborn
-- Data cleaning: handling missing data and duplicates
- **Data Preprocessing Techniques**
-- Data transformation and feature scaling
-- Encoding categorical variables
-- Data segmentation and aggregation
- **Statistics for Business Analytics**
-- Descriptive statistics: measures of central tendency and dispersion
-- Inferential statistics: hypothesis testing and confidence intervals
-- Correlation and regression analysis
- **Introduction to Machine Learning with Python**
-- Overview of machine learning concepts
-- Supervised vs unsupervised learning
-- Training and evaluating models with Scikit-learn
- **AI for Business Intelligence using ChatGPT**
-- Introduction to ChatGPT and its capabilities
-- Integrating ChatGPT for customer interaction and support
-- Analyzing customer data with natural language processing
- **Advanced Data Analytics Techniques**
-- Time series analysis and forecasting
-- Clustering techniques for market segmentation
-- Advanced regression models for predictive analytics
- **Case Studies and Real-world Applications**
-- Business intelligence case studies
-- Practical application scenarios for data-driven decision-making
-- Implementing AI models in real business situations
- **Project: AI-driven Business Intelligence Solution**
-- Define a business problem and data requirements
-- Develop a comprehensive solution using Python and AI techniques
-- Present findings and insights with a focus on actionable intelligence
- **Course Review and Assessment**
-- Recap of key concepts and skills
-- Evaluation through quizzes and a final project
-- Feedback and course completion certificate
Taught by
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