1. Data Visualization
| Indicators show one KPI, clearly. | Line charts display trends | Bar charts break things down, simply |
2. SQL
a programming language for storing and processing information in a relational database.
3. Python
web development, data science, software development, automation, and more
| Scientific Computing | Game Development | Educational Programming |
4. NUM Python
: NumPy (Numerical Python) is a fundamental package for numerical and scientific computing in Python.
| Broadcasting | Efficient array operations | Mathematical functions | Integration with other libraries |
5. Foundational Statistics
Fundamental statistics involves understanding and applying core statistical concepts like descriptive and inferential statistics, along with measures of central tendency and dispersion.
A. Descriptive Statistics
This branch focuses on summarizing and describing data using methods like:
| Foundational Statistics | Other Descriptive Measures | Measures of Dispersion | Other Descriptive Measures |
B. Inferential Statistics
This branch uses data from samples to make inferences or predictions about larger populations or draw conclusions about relationships between variables. Key concepts include.
| Hypothesis Testing | Regression Analysis | Confidence Intervals | Statistical Significance |