Python Data Analysis and Decision Making Bootcamp
This camp allows participants to experience data analysis and decision-making using Python. Even if you have no prior experience with Python, you can learn it comfortably in this camp.
Our instructors will guide students through the basics of Python, starting with basic syntax, and then lead them through more complex data analysis operations in a hands-on setting.
At the end of the camp, students will be required to complete a knowledge assessment to demonstrate their knowledge mastery.
(Course Target Audience:
People who have frequent contact with data and have basic concepts and understanding of data analysis and are interested in strengthening their data visualization, analysis and decision-making skills.
People who need to work with data or who want to join or want to join the data analysis industry
Duration: 40 hours
Teaching method: Classroom, demonstration and practice
Requirements for the certificate:
Students must meet the following graduation requirements in order to receive a certificate of completion.
(i) the total attendance must meet the minimum requirement (80%) of the course; and
(ii) must receive an overall passing grade on the course evaluation; and
(iii) must receive a passing grade on the final examination.
Course contents are shown as below:
1. Python basic grammar and application training (10 hrs)
a. Python Basic Grammar
b. Use advanced Python to process table formatting
c. Extract data from API via Python
2. Data analysis and decision-making training (28 hrs)
a. The nature of data and its application
b. Using basic tools to explore and describe data
c. Use visualization tools
d. Understanding and Interpreting Data
e. Presentation of latest data analysis
f. Development of key concepts of data and data analysis
g. Data analysis and modeling
h. Visualization and presentation of data insights
3. Assessment- final Exam (2 hrs))
1. Master the basic syntax and applications of Python
2. Understand how to visualize data and interpret data
3. Master the use of images to analyze data
4. Master the collection and organization of information from multiple sources, such as the extraction of data from the application interface through Python
我们专有的网上学习平台，并与免费的创意和生产工具无缝协作，为 DECT 教育即时提供作业和学习材料管理、远端协作、分析等功能，满足不同使用者的学术及管理需求。
培训专业教师计划是维持数谱生态系统的基石。这是一个可扩展的专业发展模式，当中全面的 DECT 内容和学习管理系统可分别为教师提供相关支持。
Krystal OTP 包含所有办公室软件，有效提升日常工作效率和减轻营运成本，为当今多元化 的业务营运需求提供了完善解决方案。