Course Overview
Become a Data Scientist and AI Engineer. Learn Python, statistics, data visualization, machine learning, deep learning, and build real-world projects. Gain hands-on experience with MLOps, Cloud AI, and advanced AI technologies.
About This Course
Complete data science bootcamp covering Python, statistics, machine learning, deep learning, and data visualization. Work on real industry projects and build a strong portfolio. Includes interview preparation.
What You’ll Learn
- Python for data science
- Statistics and probability
- NumPy and Pandas
- Data visualization (Matplotlib, Seaborn)
- Machine learning algorithms
- Deep learning
- SQL for data analysis
- Real-world projects
- Interview preparation
- MLOps & Model Deployment (Docker, APIs, CI/CD)
- Big Data & Cloud AI (AWS, GCP, Spark)
- Advanced AI (Transformers, GANs, Reinforcement Learning)
Course Modules
- Python Programming
- Statistics, Probability, Linear Algebra Fundamentals
- Data Analysis with Pandas
- Data Visualization
- SQL and Databases
- Machine Learning Algorithms
- Supervised Learning
- Unsupervised Learning
- Deep Learning & Neural Networks
- Artificial Intelligence Application
- Natural Language Processing
- Time Series Analysis
- Model Deployment
- Industry Projects
- Interview Prep
Tools & Technologies
Python, Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib, Seaborn, SQL, Jupyter, Git
Curriculum
- 1 Section
- 9 Lessons
- 24 Weeks
Expand all sectionsCollapse all sections
- CURRICULUM9
- 1.1Module 1: Foundations of Data Science
- 1.2Module 2: Mathematics & Statistics
- 1.3Module 3: Data Handling & Visualization
- 1.4Module 4: SQL & Data Management
- 1.5Module 5: Machine Learning
- 1.6Module 6: Deep Learning & Neural Networks
- 1.7Module 7: Artificial Intelligence Applications
- 1.8Module 8: MLOps & Cloud AI
- 1.9Module 9: Capstone Projects & Interview Preparation
