Omdena Academy Courses

Foundational Data Science Course with Python

December 29, 2023


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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.

Prerequisites

Basic Understanding of Programming logic


Syllabus

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.


Instructors




Course Info

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

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