Data Science Concepts
June 30, 2025
Useful Courses
Data Science
The process of using data to understand different things.
Data Analytics
Study and planning of data and understand it.
Data science combines with: Math & Statistics, Databases, Programming and Development, Machine Learning, Data Analytics, Scientific Computing, Clouds.
Data Science Languages/Tools
- Python
- R
- SQL
- Julia
- Scala
Popular Libraries
- Pandas
- NumPy
- Scikit-learn
- TensorFlow
- Matplotlib
Data Science Tools
- Jupyter Notebook
- RStudio
- Apache Zeppelin
- Power BI
- Tableau
Data Science Methodology
Methodology: A system of methods, and guidelines for decision-making during scientific process.
Stages of Data Life Cycle
- Plan: Decide what kind of data is needed.
- Capture: Collect or bring in data from a variety of sources.
- Manage: Care and maintain the data.
- Analyze: Use the data to solve problems, and make decisions.
- Archive: Keep relevant data stored for long-term and future.
- Destroy: Remove data from storage and delete any shared copies.
Useful Subjects to Explore
- Machine Learning: Make computers learn from data and make decisions. ML is a field of AI. The main method is "Neural networks - nodes related to each other".
- Deep Learning
- Data Analytics (SQL, Excel, Python)
- Statistics
- Data Visualization (Matplotlib, Seaborn, Pyplot, Plotly, Folium)
