*Key Python topics which you must revise before your data analytics interview-* 1. Data Manipulation with Pandas • Creating, merging, and joining DataFrames. • Handling missing data, filtering, and sorting. • GroupBy operations, pivot tables, and aggregations. • Time series analysis. 2. Data Visualization • Matplotlib: Basic plots (line, bar, scatter, etc.), customization, subplots. • Seaborn: Advanced visualization, pair plots, heatmaps, categorical plots. • Plotly: Interactive visualizations. 3. Numpy • Array operations, indexing, slicing, and reshaping. • Vectorized operations and broadcasting. • Mathematical functions and linear algebra. 4. SQL Integration • Using pandas with SQL databases (e.g., pd.read_sql). • Querying and manipulating data from databases. 5. Exploratory Data Analysis (EDA) • Descriptive statistics, correlation, and data profiling. • Identifying trends, outliers, and patterns in data. 6. Statistical Analysis • Hypothesis testing, p-values, and confidence intervals. • A/B testing and experimental design. • Regression analysis (linear, logistic). 7. Data Cleaning • Handling missing or incorrect data. • Data normalization, standardization, and encoding categorical variables. 8. Machine Learning Basics • Understanding scikit-learn pipelines. • Implementing simple models (e.g., Linear Regression, Decision Trees). • Feature selection and model evaluation (cross-validation, metrics). 9. Regular Expressions (Regex) • Pattern matching and text manipulation in Python. 10. Scripting and Automation • Writing reusable scripts for data processing. • File handling and interacting with APIs. Hope you'll like it Like this post if you need more resources like this 👍❤️