Advanced Data Science with AI & ML

The course covers a selection of the following topics:

Core Data Science Concepts

• Data analysis, exploration, and visualization techniques
• Advanced statistical methods and probability theory
• Feature engineering and dimensionality reduction
• Data preprocessing and data wrangling with large datasets

Machine Learning (ML) Foundations:

• Supervised learning: Regression, classification, decision trees, SVMs
• Unsupervised learning: Clustering, PCA, anomaly detection
• Model evaluation metrics: Precision, recall, F1-score, ROC curves
• Hyperparameter tuning and cross-validation

Advanced Machine Learning Techniques:

• Ensemble methods: Random Forest, Gradient Boosting, XGBoost
• Recommendation systems: Collaborative filtering, content-based models
• Time series analysis: ARIMA, Prophet, LSTM models
• Model deployment and MLOps practices

Artificial Intelligence (AI) Specializations:

• Neural networks and deep learning fundamentals
• Convolutional Neural Networks (CNNs) for image processing
• Recurrent Neural Networks (RNNs) for sequence data
• Natural Language Processing (NLP): Text analysis, sentiment classification, transformers
• Reinforcement learning: Q-learning, policy gradients

Big Data and Cloud Integration:

• Handling big data with Hadoop, Spark, and PySpark
• Working with cloud platforms: AWS, Azure, Google Cloud
• Scalable ML models and real-time data processing

Programming & Tools:

• Python programming for data science
• Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch
• SQL for data querying and database management
• API development and data integration

Capstone Projects & Real-World Applications:

• End-to-end data science projects with real datasets
• AI-powered automation and predictive analytics solutions
• Model deployment with Flask, Docker, and CI/CD pipelines

"This Advanced Data Science, AI, and ML course is designed for you if you have a solid foundation in data science concepts, such as completing our Basic Data Science course or possessing comparable knowledge.".

"Unlock the power of advanced Data Science, AI, and ML with our practice-oriented advanced course! Our comprehensive training program is designed to guide you through complex techniques in data science, machine learning, and artificial intelligence, making the learning process easy and structured.

Experience a truly interactive, engaged, and in-depth insight into advanced data science and AI concepts, turning complex theories into practical know-how. Whether you want to expand your knowledge to handle real-world data-driven projects or elevate your analytical and programming skills to an expert level, this course provides the perfect platform for your data science mastery journey.

Learn from experienced professionals who demonstrate advanced techniques and applications in AI and ML, helping you successfully implement challenging projects. Use this course as a springboard for your career and position yourself at the forefront of data science and AI development. Unleash your full potential with our Advanced Data Science, AI, and ML Practical Course!"

• 6-day online course
• In-person event at One Coding Academy
• 24-week structured Data Sciences learning program

Stand out from the crowd with our exclusive DSI Professional Certificate! Unlike other courses, we don’t just offer knowledge—we provide a professional certification that adds real value to your resume. This certificate is recognized by industry leaders and showcases your expertise in Data Science, AI, and ML. To earn it, simply complete all course modules, hands-on projects, and programming assignments. Boost your career with credentials that truly matter!".