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 coverage of Python applications, from basic programming to advanced data analytics and AI applications for the data analytics and AI fields.
• Comprehensive coverage of Python applications: includes Python programming, data processing, visualization, statistical analysis, unstructured data analysis, image recognition, natural language processing (NLP), and AI technologies.
• Rich real-world projects: Includes several real-world business scenario projects, such as telecommunications, credit risk management, medical and clinical data analysis, etc., helping students master the application of Python in real work.
• In-depth analysis and result interpretation: Explain how to choose the right analysis method and Python package to help students generate valuable business insights.
• Seamlessly connecting to workplace needs: Ensuring that participants stand out in resumes and interviews, and are able to meet the data analytics needs of a variety of industries in the real world.

Suitable Crowd:

• Data analysts, data scientists, AI engineers
• Career people who want to enter a high-paying position by learning Python
• People who want to learn Python and its application in data analysis and AI.

Target Position:

• Data Analyst
• Data Scientist
• AI Engineer
• BI Analyst
• Machine Learning Engineer

Course Description:

Python has become an indispensable tool in modern data analysis and AI. Starting from a zero base, this course leads participants deeper into Python applications through 36 hours of systematic learning, covering data processing, visualization, statistical analysis, unstructured data analysis, image recognition, natural language processing, and AI technologies. Participants will learn how to choose the right analytics and Python packages and interpret the results into real business insights.

Through rich hands-on projects in telecommunications, credit risk management, medical and clinical data analytics, participants will not only master theoretical knowledge but also gain practical experience. The program provides a solid career foundation for students who wish to develop a career in data analytics, data science and AI to enhance their competitiveness in the workplace.