Data Science & Machine Learning Bootcamp
Dive into the world of data! This intensive course covers everything from the fundamentals of Python programming to advanced machine learning techniques used in real-world applications. Whether you're aiming to become a data analyst, data scientist, or ML engineer, this bootcamp provides the foundation and practical skills to launch your career.
What You'll Learn:
- Python programming, NumPy, Pandas & data cleaning
- Data visualization with Matplotlib & Seaborn
- Statistics, probability & hypothesis testing
- Machine learning algorithms (Linear Regression, SVM, Decision Trees, Clustering)
- Working with scikit-learn, TensorFlow, and Keras
- Exploratory data analysis & feature engineering
- Model evaluation, tuning & deployment
Technologies & Tools:
- Python, Jupyter Notebooks
- Pandas, NumPy, Matplotlib, Seaborn
- scikit-learn, TensorFlow, Keras
- Google Colab, Kaggle
- Heroku, Flask for deployment
Real-World Projects:
- Customer churn prediction
- House price prediction
- Movie recommendation system
- Fake news detection using NLP
- Sales forecasting with time series analysis
Course Structure:
Phase 1: Python & Data Analysis
Master core Python, NumPy arrays, and Pandas dataframes for data wrangling.
Phase 2: Visualization & Statistics
Learn how to explore datasets visually and apply statistical techniques.
Phase 3: Machine Learning Basics
Understand and build machine learning models with scikit-learn.
Phase 4: Deep Learning
Work with neural networks using TensorFlow and Keras.
Phase 5: Capstone Project
Build and deploy a full-fledged machine learning app.
Meet Your Instructors:
Dr. Sara Mitchell
PhD in AI, 10+ years of teaching and industry experience in machine learning.
James K.
Data Engineer at Google, specializes in building scalable data pipelines and ML models.
Frequently Asked Questions
- Do I need prior experience? No. This course starts with the basics and gradually moves to advanced topics.
- Will I get a certificate? Yes, upon successful completion of all modules and final project.
- Is it beginner-friendly? Yes! We start from the ground up.
Career Opportunities:
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Developer
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