The Click Club at the Applied College organizes a training course for university students titled "The Data Revolution and the Language of Numbers: Discover the Secrets of Data Science" - First Semester, 1446 - Applied College
The Click Club at the Applied College organizes a training course for university students titled "The Data Revolution and the Language of Numbers: Discover the Secrets of Data Science" - First Semester, 1446
The "Click" Club at the Applied College organized a specialized training course titled "The Data Revolution and the Language of Numbers: Discover the Secrets of Data Science," aimed at university students. The event was held on Tuesday, Rabi' al-Thani 26, 1446 AH, corresponding to October 29, 2024, at 8:00 p.m. via the Blackboard platform.
The course was presented by Dr. Mohammed Al-Jabbar and focused on the following five main topics:
Introduction to Data Science: This section provided a comprehensive overview of data science and its growing importance across various fields, explaining how data can be used to support decision-making and enhance operational efficiency.
Types and Sources of Data: This part covered data classifications, such as qualitative and quantitative data, and highlighted key data sources, including open data, governmental, and commercial sources, along with effective methods for data collection.
The Language of Numbers and Statistical Analysis: This section discussed how numbers are interpreted and analyzed in data science and emphasized the importance of statistics. It also reviewed statistical analysis methods used to derive valuable insights, such as averages, deviations, and statistical coefficients.
Data Science Techniques and Tools: This segment showcased programming tools like Python and R, as well as machine learning techniques and data visualization methods that assist specialists in data analysis and result extraction.
Practical Applications of Data Science: The course concluded with practical examples from various fields, such as medicine, commerce, and marketing, to illustrate how data science can offer effective solutions and achieve tangible results in real-world applications.
The course aimed to equip students with the necessary knowledge to understand the fundamentals of data science and gain essential skills in this rapidly growing field.
The course was presented by Dr. Mohammed Al-Jabbar and focused on the following five main topics:
Introduction to Data Science: This section provided a comprehensive overview of data science and its growing importance across various fields, explaining how data can be used to support decision-making and enhance operational efficiency.
Types and Sources of Data: This part covered data classifications, such as qualitative and quantitative data, and highlighted key data sources, including open data, governmental, and commercial sources, along with effective methods for data collection.
The Language of Numbers and Statistical Analysis: This section discussed how numbers are interpreted and analyzed in data science and emphasized the importance of statistics. It also reviewed statistical analysis methods used to derive valuable insights, such as averages, deviations, and statistical coefficients.
Data Science Techniques and Tools: This segment showcased programming tools like Python and R, as well as machine learning techniques and data visualization methods that assist specialists in data analysis and result extraction.
Practical Applications of Data Science: The course concluded with practical examples from various fields, such as medicine, commerce, and marketing, to illustrate how data science can offer effective solutions and achieve tangible results in real-world applications.
The course aimed to equip students with the necessary knowledge to understand the fundamentals of data science and gain essential skills in this rapidly growing field.
