Data Science & Machine Learning

Course Description

This comprehensive bootcamp is designed for beginners and aspiring data professionals who want to build a strong foundation in data science and machine learning. Over 16 weeks, you’ll gain hands-on experience in Python programming, data analysis, and predictive modeling. The course guides you through the essential tools, libraries, and real-world techniques used by data scientists across industries. Whether you aim to become a data analyst, ML engineer, or AI developer, this bootcamp equips you with the knowledge and skills to succeed.

What You’ll Learn From This Course

• Understand the fundamentals of data science and its real-world applications
• Master Python programming for data manipulation and analysis
• Perform data wrangling using Pandas and NumPy
• Create visualizations using Matplotlib, Seaborn, and Plotly
• Apply key statistical concepts and probability for decision-making
• Build and evaluate machine learning models using Scikit-learn
• Work with classification, regression, clustering, and recommendation algorithms
• Learn natural language processing (NLP) basics and sentiment analysis
• Perform time series forecasting using ARIMA and Prophet
• Explore neural networks and deep learning basics with TensorFlow and Keras
• Deploy machine learning models using Flask and Streamlit
• Work on real-world projects for finance, healthcare, and retail
• Understand ethical AI practices and responsible data use
• Develop a portfolio with capstone projects and case studies