Pandas: Series, DataFrame creation, indexing, filtering

Handling missing values, groupby, joins, pivot tables

.loc vs .iloc indexing

NumPy basics

Web scraping with BeautifulSoup

REST API integration with requests

Document Intelligence for unstructured data

Projects: Clean messy HR data, Fetch & save jokes via API

SQL joins, filtering, normalization

SQLite integration with Python

Database design and modeling

Projects: Design student database, Sales report generator

Exploratory data analysis techniques

Correlation analysis, outliers detection

Boxplots vs histograms, summary statistics

Power BI dashboards and story-driven visualizations

Projects: Correlation heatmaps, Power BI dashboard

Mean vs median, RMSE metrics

Regression vs classification

Linear Regression vs Decision Tree comparison

Gen-AI inside BI, Power BI GPT automation

Projects: House price prediction, Model comparison

Logistic Regression, Confusion Matrix

Decision Trees, KMeans Clustering

Silhouette score evaluation

Projects: Titanic survival prediction, Customer segmentation, KNN tuning for cancer dataset

GridSearchCV, pipelines, scaling

One-hot encoding, variance thresholding

Feature selection techniques

Projects: Model tuning comparison, Feature selection

End-to-end ML workflow

EDA, modeling, evaluation integration

Power BI visualization for business reports

Projects: Capstone with data prep, model building, visualization

Ensembles techniques

Sentiment analysis, NLP fundamentals

Synthetic data generation via GPT

GenAI assisted EDA and feature engineering

Projects: Sentiment analysis on reviews, GPT synthetic data

H2O AutoML usage

MLflow for experiment tracking

End-to-end business problem solving

Stakeholder-ready Power BI outputs

Behavioral interview prep (STAR method)

GitHub portfolio curation

Mock interviews, demo day preparation

Prompt engineering for analytics tasks