Omdena Academy Courses

Foundational Data Science Course with Python

April 22, 2024

Omdena Course Featured Image

For whom is this course?

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.

What will you learn?

  • 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.


Course Info

Duration46 hours
Start DateDecember 1, 2023
Last Registration DateNovember 25, 2023
No of Students
Skill LevelBasic and intermediate

View more Courses

media card
View all courses from Omdena Academy Go Back