Course Overview
This advanced course is designed to empower learners with the skills and knowledge needed to master Data Science, Machine Learning, and Deep Learning using powerful tools like Python, TensorFlow, and Keras. You will learn to analyze large datasets, build predictive models, and implement deep neural networks, preparing you for high-demand roles in data science and AI.
What You Will Learn
- Python for Data Science and Data Manipulation
- Data Cleaning, Exploration, and Visualization
- Machine Learning Algorithms: Supervised & Unsupervised
- Neural Network Foundations: Perceptron, MLP, Backpropagation
- Deep Learning with TensorFlow and Keras
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs) and LSTMs
- Natural Language Processing (NLP) with Deep Learning
- Model Evaluation, Optimization, and Hyperparameter Tuning
- Real-Time Projects using Healthcare, Finance, and E-commerce Datasets
Who Should Enroll ?
- Aspiring Data Scientists and AI Engineers
- Professionals looking to transition into Machine Learning or AI
- Developers and Analysts seeking deep learning expertise
- Graduates or postgraduates in computer science, math, or statistics
Why Choose Us?
- Designed by data scientists and AI experts
- Practical-first approach with real-world problem-solving
- Focus on job readiness and end-to-end project delivery
- Builds both foundational theory and hands-on implementation skills
- Community and alumni network access
Course Duration
3 to 5 Months(Weekday and Weekend Batches Available)
Tools & Technologies Covered
- Python, NumPy, Pandas, Scikit-learn
- Matplotlib, Seaborn, Plotly
- TensorFlow, Keras, PyTorch (Introductory)
- CNNs, RNNs, LSTM, Transformers (Overview)
- Jupyter Notebooks, Google Colab, Git
Certifications
Data Science with Neural Networks and Deep Learning Course Completion Certificate