"Here is the only roadmap you need to know to learn Python.
🚀 Foundations of Python Programming
✅Basic Concepts: Understanding data types (integers, floats, strings), variables, and control flow structures (loops, conditional statements)
✅Functions and Modules: Defining functions, importing modules, and organising code for reusability.
🚀NumPy
✅Array Operations: Creating, indexing, and manipulating arrays efficiently.
✅Mathematical Functions: Performing numerical computations and statistical operations on arrays.
✅Broadcasting: Understanding how NumPy handles operations on arrays of different shapes.
🚀Pandas
✅DataFrames: Working with tabular data structures (DataFrames) to analyse and manipulate data.
✅Data Handling: Cleaning, filtering, and transforming data for insights and visualisation.
🚀Data Visualisation
✅Matplotlib: Creating static plots (line plots, histograms, scatter plots) to visualise data relationships.
✅Seaborn: Building statistical visualisations with higher-level abstractions for clearer insights.
🚀Statistics and Probability
✅Descriptive Statistics: Calculating and interpreting measures like mean, median, variance, and standard deviation.
✅Inferential Statistics: Conducting hypothesis testing and understanding statistical significance to draw meaningful conclusions.
🚀Data Manipulation and Analysis
✅Data Wrangling: Reshaping datasets, combining data from different sources, and preparing data for analysis.
✅Grouping and Aggregation: Using group by operations to summarise data and derive insights.
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