Python for Data Analysis/AI
Starting from zero, we will explain the basic programming of python, data processing and data visualization, statistical analysis of data, unstructured data analysis, image recognition, NLP machine learning and AI, and advance step by step. Not only teaching the use of python tools and python syntax, but also explaining how to choose the analysis method and corresponding python package, as well as the interpretation and insight of data analysis results. Includes a large number of real-world projects, such as telecom projects, credit risk management projects, medical and clinical data analysis projects.
Course Introduction
Course Title: Python for Data Analysis / AI
Course Duration: 36 hours
Lead Instructor:
Dr. Zhang — a top expert with 27+ years of experience in data analytics and data science
Course Features:
- Free and powerful tools: Comprehensive training from basic Python programming to advanced analytics and AI applications.
- Full coverage of Python applications: Includes programming, data processing, visualization, statistical analysis, unstructured data analytics, image recognition, natural language processing (NLP), and AI technologies.
- Rich real-world projects: Hands-on projects from telecommunications, credit risk management, medical and clinical analytics help learners master real workplace applications.
- In-depth analysis & interpretation: Learn how to choose the right analytical methods and Python packages to generate valuable business insights.
- Seamless workplace alignment: Strengthens résumé competitiveness, interview readiness, and practical abilities needed across multiple industries.
Suitable For:
- Data Analysts
- Data Scientists
- AI Engineers
- Professionals transitioning into high-paying data careers
- Anyone wanting to learn Python for data analysis and AI
Target Positions:
- Data Analyst
- Data Scientist
- AI Engineer
- BI Analyst
- Machine Learning Engineer
Course Description:
Python is an essential tool in modern data analytics and AI. Through 36 hours of systematic training starting from zero foundation, this course guides students through the full workflow of Python applications—covering data processing, visualization, statistical analysis, unstructured data analytics, image recognition, NLP, and AI technologies.
Students will learn how to select the right analytical methods and Python packages, and translate results into meaningful business insights. Through real-world hands-on projects in telecommunications, credit risk management, and medical/clinical analytics, participants gain both theoretical knowledge and industry-ready practical experience.
This course builds a strong career foundation for those pursuing data analytics, data science, or AI roles and significantly enhances competitiveness in the job market.
Course Outline
Tool Introduction
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