מה צריך לדעת לפני
שתתחיל
מתחיל 5 June 2026 07:55
נגמר 5 June 2026
00
ימים
00
שעות
00
דקות
00
שניות
5 hours 26 minutes
שדרוג אופציונלי זמין
Not Specified
התקדמות בקצב שלך
Paid Course
שדרוג אופציונלי זמין
סקירה כללית
Embark on a transformative journey into the realm of Business Analytics and Statistics in Python & ChatGPT with our comprehensive course. In this dynamic learning experience, you will acquire a robust foundation in Python tailored for data analytics, gaining essential skills to navigate, clean, and preprocess real-world datasets effectively.
Through hands-on exercises and real-life scenarios, you will become adept at ensuring data quality and reliability, laying the groundwork for informed decision-making in a data-driven world.
סילבוס
- **Introduction to Python for Business Analytics**
- **Data Exploration and Cleaning in Python**
- **Data Preprocessing Techniques**
- **Statistics for Business Analytics**
- **Introduction to Machine Learning with Python**
- **AI for Business Intelligence using ChatGPT**
- **Advanced Data Analytics Techniques**
- **Case Studies and Real-world Applications**
- **Project: AI-driven Business Intelligence Solution**
- **Course Review and Assessment**
Overview of Python and its applications in business
Setting up the Python environment
Python basics: syntax, data types, and control structures
Importing and exporting data with Pandas
Understanding and visualizing data with Matplotlib and Seaborn
Data cleaning: handling missing data and duplicates
Data transformation and feature scaling
Encoding categorical variables
Data segmentation and aggregation
Descriptive statistics: measures of central tendency and dispersion
Inferential statistics: hypothesis testing and confidence intervals
Correlation and regression analysis
Overview of machine learning concepts
Supervised vs unsupervised learning
Training and evaluating models with Scikit-learn
Introduction to ChatGPT and its capabilities
Integrating ChatGPT for customer interaction and support
Analyzing customer data with natural language processing
Time series analysis and forecasting
Clustering techniques for market segmentation
Advanced regression models for predictive analytics
Business intelligence case studies
Practical application scenarios for data-driven decision-making
Implementing AI models in real business situations
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
Recap of key concepts and skills
Evaluation through quizzes and a final project
Feedback and course completion certificate
נלמד על ידי
Analytix AI
נושאים
Programming