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)
