Python Data types and variables Control flow (loops, conditionals) Functions and modules Data structures (lists, tuples, dictionaries, sets) File handling Libraries: NumPy, Pandas, Matplotlib, Seaborn Data wrangling and preprocessing Web scraping (BeautifulSoup, Requests) Introduction to APIs SQL (using MySQL & Statistics) Database fundamentals CRUD operations (Create, Read, Update, Delete) Joins and subqueries Aggregations and grouping Views, indexes, and stored procedures Window functions Data normalization Statistical functions using SQL Power BI Data loading and transformation (Power Query) Data modeling and relationships DAX formulas Creating dashboards and reports Visualizing trends and KPIs Publishing and sharing reports Row-level security and permissions Tableau Data connections and blending Filters, parameters, and calculated fields Charts and visualizations Dashboards and storyboards Tableau Prep for data cleaning Data extracts and live connections Sharing dashboards via Tableau Public/Server Advanced Excel & VBA Functions (LOOKUP, IF, INDEX-MATCH, etc.) PivotTables and PivotCharts Data validation and conditional formatting What-if analysis and scenario manager Macros and automation with VBA User Forms and custom functions Integration with other tools (e.g., MS Access, Power Query) Machine Learning Supervised vs. unsupervised learning Algorithms: Linear regression, Logistic regression, Decision Trees, SVM, KNN Model evaluation: Accuracy, Precision, Recall, F1 Score Cross-validation and hyperparameter tuning Feature engineering and selection Scikit-learn usage Real-world case studies and projects Deep Learning Neural networks basics Activation functions and optimization techniques Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) and LSTMs Transfer learning and pre-trained models Using TensorFlow and Keras Image and text classification projects