Data Science Project

In this project-based course, you'll use your data science skills to handle a real-life dataset problem in an area of interest to you such as digital marketing, medicine, and more.

Education team

Hossein, or Unclecode as he prefers, is a Computer Science expert specializing in Natural Language Processing, Data Science, and AI.

Course Creator

Maysam is an expert in the field of Molecular Biology specializing in drug discovery for cancer and bioinformatics.

Course Moderator

Mohamad is mainly involved in training students in modules using Python, C++, HTML, and CSS. He participates as well in Data Science projects.

Course Trainer

Ummu is a mathematics teacher who specializes in teaching primary, secondary, and IGCSE students.

Course Trainer

Data Science Project course for kids

What will you learn?

Data Wrangling with Pandas
In this module, you'll learn how to use the Pandas library for data wrangling. You'll also learn how to clean and prepare data for analysis.
Building Regression Models
In this module, you'll build regression models using the Scikit-learn library. You'll also learn how to evaluate these models and interpret the results.
Classification with Scikit-learn
In this module, you'll use the Scikit-learn library to build classification models. You'll also learn how to evaluate these models and interpret the results.
Natural Language Processing with NLTK
In this module, you'll use NLTK to perform natural language processing tasks such as tokenization, stemming, and lemmatization.

Our students



What is the duration of this course?
The duration of this course is 50 hours.
How many tasks are there in this course?
Thanks for asking. In this course, there are 500 to 1000 tasks.
Does this course come with a final project?
Yes, this course comes with a final project.
What certification will be available at the end of the course?
At the end of this course, students will receive a certification in Data Science.
What topics will be covered in this course?
Data Science Project will cover topics such as digital marketing, medicine, and more.