Basic data analysis/data science course in Python
Details of the dates and times for the programs:
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Syllabus for the workshop:
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Expected outcomes:
- Gain a solid understanding of Python programming
- Learn the basics of data analysis using Python
- Ability to use Python for various data analysis and visualization tasks
- Hands-on experience using Jupyter Notebook and relevant libraries
- Prepared to tackle real-world data analysis projects
- Develop in-demand skills in the field of data analysis
Targeted group:
- Data Analysts/Data scientist: Currently working with different software and looking to expand their skills by learning Python for data analysis.
- Students: Interested in starting a career in data analysis or data science and want to learn the basics of data analysis using Python.
- Researchers and Scholars: Who need to analyze data for their thesis, research projects, or academic papers.
- Educators and Teachers: Who want to incorporate data analysis and visualization into their curriculum or learn Python as a tool for teaching data science.
- Business Professionals: Who need to analyze data for their work and want to learn a powerful and versatile programming language for data analysis.
Course duration :
20 hours
Prior knowledge of python:
Not required
Teaching method:
Practical with live coding for example:
Using the operators in the table below, ask Python to solve these difficult math equations:
| Assign to a Variable, | Add, | Subract, | Multiply, | Divide, | Power, | Integer Divide, | Remainder after Division | |
|---|---|---|---|---|---|---|---|---|
| = | + | - | * | / | ** | // | % |
Exercises
Example: What is two plus three?
2 + 3
5
What is two times three?
write code here
What is two to the third power?
write code here
How many (whole) times does 7 go into 100?
write code here