What you'll learn

  • Gain a clear understanding of what data science entails and explore the data analytics lifecycle, from data preparation and exploration to modeling, predictive, and cluster analysis.

  • Apply your acquired skills to analyze data across various industries, including finance, healthcare, and marketing, and execute end-to-end projects, from data collection to final analysis.

  • Learn the fundamentals of Python programming, functional programming, and working with its key libraries such as Pandas, NumPy, Matplotlib, and Seaborn for effective data analysis and visualization.

  • Develop proficiency in tools like Matplotlib and Seaborn to create advanced visualizations that support data-driven decision-making.

  • Familiarize yourself with statistical concepts and use them to perform accurate and effective data analysis.

  • Learn how to leverage Python libraries such as NumPy and Pandas for machine learning and data science tasks, enabling efficient handling of large datasets and solving complex problems.

4 Courses

Tip: These courses are arranged in a recommended order by almentor to enhance your learning journey, but feel free to watch them in any order that suits you!
Introduction to Data Science

Introduction to Data Science

Sherif Gamal

This level provides an introduction to the field of data science. This level covers the main stages of the data analytics lifecycle as well as examples of different applications of data science. It also introduces the basic concepts of Python programming with practical examples.

Duration: 1h 49m/18 Video Lessons

Course Language: Arabic

Applications of Data Science

Applications of Data Science

Amr Helal

Data science is considered one of the most rapidly evolving and important fields in today’s world. Companies and organizations across various sectors require professionals who can leverage data to provide valuable insights, make intelligent decisions, and guide their future strategies. This is where mastering the tools and techniques associated with data science becomes crucial. The course begins by explaining what data science is and its significance. You will learn how to handle data from collection and analysis to presenting it in an attractive and effective way. Python programming will be one of the essential tools you'll use to analyze and process data intelligently. Python is a flexible and powerful language that allows you to benefit from specialized libraries such as Pandas, NumPy, and Matplotlib, which are indispensable tools for any data science professional. The course combines theoretical knowledge with practical application, teaching you how to use statistics to analyze data and discover important patterns. You'll also work on practical projects that let you apply what you’ve learned directly to real-world datasets. Every step in this course is designed to equip you with advanced skills and deep knowledge on how to transform data into a powerful force to improve performance and achieve success. By the end of this course, you will complete a comprehensive project that showcases all the skills you’ve acquired, from the initial steps of data collection and analysis to creating precise predictive reports that provide valuable insights. Whether you're looking to transition into the field of data science or want to enhance your skills in this vital area, this course will provide everything you need to embark on your journey with confidence and professionalism.

Duration: 1h 33m/14 Video Lessons

Course Language: Arabic

Python for Data Science

Python for Data Science

Ahmed El Mohandes

Data science is a vast field, and one of the very rewarding, and it is increasing in expansion day by day, due to its great importance and benefits, as it is the future. Data science enables companies to measure, track, and record performance metrics for facilitating and enhancing decision-making. Companies can analyze trends to make critical decisions to engage customers better, improve company performance, and increase profitability. One of the most powerful programming languages ​​used for Data science is Python, an easy and powerful language, and that will be covered throughout the course.

Duration: 6h 7m/69 Video Lessons

Course Language: English

Data Science Libraries in Python

Data Science Libraries in Python

Hassan Fulaih

The Data Scientist profession has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems. This series of five training courses is designed to teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python.

Duration: 3h 10m/12 Video Lessons

Course Language: Arabic