📅 2023-06-22 — Session: Developed comprehensive data science course outlines
🕒 21:40–22:45
🏷️ Labels: Data Science, Course Development, Curriculum Design, Machine Learning, Big Data
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal:
The session aimed to develop comprehensive outlines for various data science courses, focusing on exploratory data analysis, big data, data mining, machine learning, and the application of data science in different fields such as astronomy, biology, and technology.
Key Activities:
- Structured a course on Exploratory Data Analysis, covering data acquisition, cleaning, visualization, and analysis techniques.
- Outlined a Big Data and Cloud Mining course, including Hadoop, Spark, and Apache Kafka.
- Developed a framework for a Data Science Applications course in fields like astronomy and biology.
- Detailed a Machine Learning and Neural Networks course, focusing on supervised and unsupervised learning.
- Created a curriculum on the ethics of data science, addressing biases and privacy.
- Compiled a comprehensive Data Mining course, emphasizing practical applications in science and technology.
Achievements:
- Successfully created detailed course outlines and frameworks for multiple data science subjects.
- Integrated practical exercises and real-world applications into the curricula.
Pending Tasks:
- Finalize the course materials and resources for each outlined session.
- Develop detailed lesson plans and assessments for each course module.