Data Science
4 weeks intensive
Welcome to Limitless Learning, where the sky is the limit. Our Courses are fully remote, so you can learn anywhere
دوراتنا عن بعد حتى تتمكن من التعلم في أي مكان
Do you want to become a learner? Please read the information and then fill out the form below
What is it?
Data analysis is crucial in effectively conveying information and insights derived from data to various audiences, ranging from decision-makers to the general public. Presenting data in a visually appealing and structured manner makes it easier for people to comprehend complex information.
Well-designed charts, graphs, and visuals help individuals grasp patterns, trends, and relationships within the data more quickly than raw numbers or text alone. Data science allows you to tell a compelling story with data, especially that data is considered the oil of the 21st century since it
is generated every time and everywhere in different formats (tables, texts, images, audio, multimodal etc...).
In our 100% practical and data-flavored course, we will learn and tackle multiple axes and concepts related to the world of data, from harvesting it, collecting it, cleaning it, exploring it, withdrawing business insights from it to dynamically visualize it and creating a dynamic application out of it.
What are the course objectives?
Dos & Don'ts surrounding the content, esthetics and the way of delivering a presentation.
Learning about various software and websites that might be leveraged to create a well-designed presentation.
Learn how to create a well structured scientific reports using Latex & Overleaf.
Understand the why, how and what of data visualization while enumerating the different types of plots that can be used depending on the structure of the data.
Learn how to create static visualizations using matplotlib / mplot3D /seaborn.
Learn how to create dynamic visualizations using Plotly.
Introducing different data formats and storage (csv, tsv, xlsx, xml, HDF5, SQL, No-SQL with JSON, No-SQL with MongoDB) and the pros and cons of each one of them.
Defining and learning about data scraping and its importance.
Understanding the general semantic and structure of web pages and its link to web scraping.
Learning how to apply web scraping using the python library Beautiful Soup.
Learning how to quickly create a dynamic web for a straight-forward prototyping of your data science project by going through the use of the python library “Streamlit”.
Learn about what is a data dashboard and why it is considered essential in the Business Intelligence area.
Learn how to create your own data dashboard using Google’s software “Looker Studio”.
What is the course schedule?
Start date: October 2024
Fully online
Duration: 16 hours
How much does it cost?
29,900 DZD or $199
Sofiane Ouaari, Worked as a software engineer in a FinTech startup in Constantine in 2020.
Awarded the “Stipendium Hungaricm” scholarship which allowed me to pursue a master degree in Data Science at the Eötvös Lorand University (ELTE) in Budapest Hungary
He worked as a part-time machine learning engineer in a Hungarian company “Webpredict.io” where we leveraged and implemented NLP and NLG-oriented technologies.
Currently doing a PhD in Tübingen, Germany in the sphere of “Privacy-Preserving Machine Learning for Healthcare” within the “International Max-Planck Research School for Intelligent Systems” (IMPRS-IS) doctoral program.