Course Overview
Why Choose This Course?
Everything you need to become successful
Expert Trainers
Learn from industry professionals with years of experience
Industry Certificate
Get certified and boost your career prospects
Course Curriculum
Comprehensive modules designed for complete learning
Python Fundamentals, Variables & Data Types Operators, Control Statements & Loops Strings, Lists, Tuples, Sets & Dictionaries Functions, Lambda Functions & Modules File & Exception Handling Date Functions & NumPy Introduction OOP Concepts & Python Mini Project
SQL Fundamentals & Table Creation Insert & Select Statements Advanced Filtering & Logical Operators Aggregate Functions, GROUP BY & HAVING Update, Delete & Constraints SQL Joins Views, Indexes & Transactions Stored Procedures & Triggers
NumPy Arrays, Indexing & Slicing Reshaping, Mathematical & Aggregation Operations Boolean Masking, Broadcasting & Linear Algebra Pandas DataFrames & Data Selection Data Cleaning, Missing Values & Sorting GroupBy, Merge, Join & Pivot Tables CSV/Excel Data Handling Matplotlib: Charts, Customization & Real Dataset Visualization
Cell References & Conditional Formatting Data Validation, Goal Seek & Solver Filters, Slicers & Timeline Advanced Filter & VLOOKUP Financial & Logical Functions Excel Errors & Flash Fill Dashboards & Data Entry Forms Visitor Report, Invoice & Attendance Projects
Machine Learning Introduction & Types Dataset Understanding & Data Preprocessing Missing Values, Encoding & Feature Scaling Train-Test Split, Outliers & Data Leakage Imbalanced Data Handling Linear, Multiple & Polynomial Regression Ridge, Lasso & ElasticNet Decision Tree, Random Forest & Gradient Boosting Regression Evaluation Metrics
Classification Fundamentals Logistic Regression, KNN & SVM Naive Bayes, Decision Tree & Random Forest Boosting Algorithms Classification Metrics, Confusion Matrix & ROC Curve K-Means, Hierarchical & DBSCAN Clustering PCA & LDA Overfitting, Underfitting & Bias-Variance Cross-Validation & Hyperparameter Tuning Feature Selection & Feature Engineering
Deep Learning Fundamentals & Artificial Neurons Neural Networks, Layers & Keras Activation, Loss Functions & Backpropagation Gradient Descent & Optimizers ANN Model Training & Evaluation Regularization & Batch Normalization CNN Architecture & Image Classification Data Augmentation & Transfer Learning Object Detection, YOLO & SSD Object Tracking, Face Detection & Recognition
RNN, LSTM & GRU Natural Language Processing Text Cleaning, Tokenization, Stemming & Lemmatization POS Tagging, TF-IDF & Word Embeddings Text Classification & Sentiment Analysis Transformers & BERT Power BI, Power Query & Data Cleaning DAX, Data Modeling & Advanced Visualizations Interactive & AI-Powered Dashboards Power BI Service, Security, Deployment & Industry Projects Final Capstone Project & Interview Preparation
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