You don’t need to learn Python more than this for a Data Analyst role

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➊ Pandas Essentials

↳ DataFrame creation, cleaning, filtering

↳ .loc[], .iloc[], .query() mastery

↳ Fast groupby aggregations

↳ O(n) vectorized operations

➋ Data Cleaning Techniques

↳ Handling missing values: .fillna(), .dropna()

↳ String cleaning: .str.replace(), .str.extract()

↳ Duplicate removal: .drop_duplicates()

↳ Outlier detection with IQR/Z-score

➌ Exploratory Data Analysis (EDA)

↳ Descriptive stats: .describe(), .value_counts()

↳ Correlation analysis: .corr(), heatmaps

↳ Pivot tables & crosstabs

↳ Profiling with ydata-profiling

➍ Data Visualization

↳ matplotlib & seaborn basics

↳ Line, bar, histogram, boxplot, scatter

↳ Pairplot & heatmap for relationships

↳ Clear labeling and styling best practices

➎ NumPy Foundations

↳ ndarrays, slicing, broadcasting

↳ Fast numeric operations

↳ Statistical functions (mean, std, percentile)

➏ SQL in Python

↳ Running queries using sqlalchemy / pandas.read_sql()

↳ Joins, aggregations, window functions

↳ Connecting to common databases (Postgres, MySQL)

➐ Working with Excel & CSVs

↳ read_csv(), read_excel(), to_excel()

↳ Chunked reading for large files

↳ Formatting Excel with openpyxl if needed

➑ Date & Time Handling

↳ pandas.to_datetime()

↳ Extracting date parts (day, month, week)

↳ Resampling & time-series transformations

➒ API Data Retrieval

↳ requests for GET/POST

↳ Parsing JSON results

↳ Handling authentication tokens

↳ Converting API output to DataFrame

➓ Basic Statistics & Probability (in Python)

↳ Mean, median, mode, variance, std

↳ Sampling & distributions

↳ Hypothesis testing (t-test, chi-square) via scipy

↳ Confidence intervals

⓫ Dashboard Exporting

↳ Creating charts for Power BI/Tableau

↳ Exporting clean CSV/XLSX data

↳ Preparing summary tables & KPIs

⓬ Automation & Reporting

↳ Automate scripts with cron or Task Scheduler

↳ Email reports with attachments

↳ Simple logging for tracking runs