Foundational Data Science Course with Python in Mongolia

This course aims to equip participants with the essential skills needed to work on AI projects Independently. It’s specifically tailored for those keen on entering the data science domain, encompassing aspiring data scientists, data analysts, and machine learning enthusiasts.

Moreover, it offers a valuable opportunity for individuals in Mongolia to enhance their expertise in AI and data science, fostering their professional growth in the field.

Participants will gain proficiency in Python fundamentals, explore web scraping techniques, master principles of exploratory data analysis (EDA), and grasp key concepts of data visualization for data science applications.

By the end of the course, participants will be able to:

• Understand Python’s role in data science and apply it effectively.
• Employ various web scraping methods and understand their applications.
• Interpret results from exploratory data analysis (EDA) and recognize its importance.
• Create impactful data visualizations to communicate insights effectively.

Additionally, participants will:

• Apply Python to real-world data science tasks.
• Implement web scraping techniques using different libraries.
• Utilize EDA to extract actionable insights from data.
• Analyze data using Python tools and evaluate the quality of web-scraped data.
• Develop proficiency in creating custom web scraping solutions and synthesizing data from multiple sources.
• Enhance data visualization techniques and create interactive Streamlit applications.

Basic Understanding of Programming logic.

Index	Modules	Topic	Hours
1.	Basic Module	Introduction to Python	3 Hrs
2.	Basic Module	Basic Python Libraries for Data Science Applications	3 Hrs
3.	Basic Module	EDA: Exploratory Data Analysis and Feature Engineering	4 Hrs
4.	Basic Module	Collecting publicly accessible data using Beautiful Soup, Splash, and Scrapy	4 Hrs
5.	Basic Module	Ethical Guidelines for Data Collection and Storage, Model Building and Results Interpretation and communication	4 Hrs
6.	Basic Module	Project: Analysing Mongolian Employment Trends	4 Hrs
7.	Advance Module	Advanced-Data Visualization	3 Hrs
8.	Advance Module	Introduction to Machine Learning	4 Hrs
9.	Advance Module	Natural Language Processing	4 Hrs
10.	Advance Module	Streamlit Application	3 Hrs
11.	Advance Module	Project: Visualizing Mongolian Labor Market Trends With Streamlit	4Hrs