Foundational Data Science Course with Python

This course is designed to empower participants with the necessary skillsets to undertake AI projects independently. It particularly targets individuals interested in pursuing a career in data science, including aspiring data scientists, data analysts, and machine learning enthusiasts.

Additionally, this course serves as a capacity-building opportunity for individuals in Sri Lanka, facilitating their professional development in the field of AI and data science.

• Participants will be able to understand Python fundamentals, web scraping techniques, EDA principles, and data visualization concepts for data science.
• Participants will be able explain the application of Python in data science, understand web scraping methods, interpret EDA results, and comprehend the significance of effective data visualization.
• Participants will be to apply Python to real-world data science tasks, implement web scraping using various libraries, utilize EDA for extracting insights, and create data visualizations.
• Participants will be able analyze data using Python tools, evaluate the quality of web-scraped data, assess the outcomes of EDA, and analyze the effectiveness of data visualizations.
• Participants will also be able to create custom web scraping solutions, synthesize data from multiple sources, develop new data visualization techniques, and create interactive Streamlit applications.

Basic Understanding of Programming logic

Index	Modules	Topic	Hours
1	Basic Module	Introduction to Python	3 Hours
2	Basic Module	Basic Python Libraries for Data Science Applications	3 Hours
3	Basic Module	EDA: Exploratory Data Analysis and Feature Engineering	4 Hours
4	Basic Module	Collecting publicly accessible data using beautiful soup	4 Hours
5	Basic Module	Collecting publicly accessible data using Splash and Scrapy	4 Hours
6.	Basic Module	Ethical Guidelines for Data Collection and Storage	2 Hours
7.	Basic Module	Ethical Compliance AI ModelsBuilding	2 Hours
8.	Basic Module	Ethical guidelines Results Interpretation and communication	2 hours
6	Basic Module	Project: Analysing Sri Lanka’s Employment Trends	4 Hours
7	Advance Module	Advanced-Data Visualization	3 Hours
8	Advance Module	Introduction to Machine Learning	4 Hours
9	Advance Module	Natural Language Processing	4 Hours
10	Advance Module	Streamlit Application	3 Hours
11	Advance Module	Project: Visualizing Sri Lanka’s Labor Market Trends With Streamlit	4 Hours

 

*All sessions will be conducted online, and the primary language is English.