Master data science and machine learning in as little as ten weeks, combining theoretical foundations with practical programming skills. This program is designed for professionals with solid programming basics who are ready to advance into the high-demand field of data science and machine learning.
General Assembly's Data Science part-time course provides a practical introduction to the interdisciplinary field of data science and machine learning, which sits at the intersection of computer science, statistics, and business strategy. Students develop proficiency in the Python programming language, learn to manipulate and analyze large datasets, and develop machine learning models to solve real-world business problems. The curriculum balances theoretical understanding with hands-on coding practice, preparing you for advanced data science roles in modern organizations. You'll work on real datasets and build portfolio projects that demonstrate your capabilities to prospective employers.
Prerequisites:
Comfort with programming fundamentals, core Python syntax, and basic statistical concepts. Students without this background should consider taking prerequisite courses first to ensure success in this intermediate-level program.
What You'll Learn:
- Advanced Python programming for data science applications and data manipulation
- Statistical analysis, probability theory, and hypothesis testing
- Data manipulation and exploration with pandas, NumPy, and visualization libraries
- Machine learning algorithms, model selection, and evaluation techniques
- Supervised learning: regression and classification for predictive modeling
- Unsupervised learning: clustering and dimensionality reduction
- Real-world data science projects and case studies with production data
- Communication of findings to non-technical stakeholders and executives
- Building a professional data science portfolio with compelling projects
Who Is This For:
Professionals with programming fundamentals who want to transition into data science, developers seeking to specialize in machine learning, and anyone with strong analytical skills and programming experience, ready to tackle complex data problems. This course attracts engineers, analysts, statisticians, and other technical professionals.
Career Support:
- Instruction from experienced data science practitioners in active roles
- Mentorship and project guidance from industry professionals
- Career services and job placement support
Hands-On Learning Approach:
This course emphasizes practical application from day one. You'll work with real datasets throughout the program, gaining experience with the messiness and complexity of actual data science work. Projects are designed to build skills progressively while expanding your technical capabilities.
Portfolio Development:
You'll complete multiple data science projects suitable for your portfolio, demonstrating your ability to work through the complete data science lifecycle and apply machine learning to solve real business problems.
