Data Science

Data Science

City: San Francisco
Country: USA
Phone No.: 720-627-6862
Start Date: 20-02-2018
End Date: 18-05-2018
Website URL:
Price: $16,000



Galvanize is not for the many who dream about changing their lives, Galvanize is for the few that do. You'll learn the tools, techniques, and fundamental concepts you need to make an impact as a full-time data scientist.

Master the Skills
Build your data science expertise by leveraging real-world data sets and learning from industry experts. Master relevant tools and techniques to solve actual business problems.

Learn from World-Class Faculty
Galvanize is the recognized leader in technology education with a focus in software development, data science and data engineering. We have a world-renowned team of experienced, full-time instructional faculty with decades of experience among them.

Study with Top-Tier Industry Peers
Solve problems alongside a diverse group of high-achieving students with backgrounds in science, data analysis, engineering, mathematics, and more. Build meaningful connections with your classmates, and join a community of lifelong learners.

Land Your Dream Job
Our career team helps to identify your strengths, refine your goals, and connect you with Galvanize’s 1000+ hiring partners to turn your career aspirations into a reality.

What You Will Learn:


Data Science Fundamentals: Python and Statistics
Students jump right into a Python-based curriculum where we explore and learn best practices in statistical analysis, including frequentist and Bayesian methods. By using software engineering best practices and pairing programming with fellow students from different backgrounds, students master fundamental data science concepts.


Machine Learning & Real-World Case Studies
In the second module we start diving into machine learning, working on real problems in classification, regression, and clustering utilizing structured and unstructured data sets. We’ll discover libraries like scikit-learn, NumPy, and SciPy, and use real world case studies to root our understanding of these libraries to real world applications.


Natural Language Processing & Data Visualization
In our third quarter we add natural language processing and recommender systems to our body of data science knowledge. We learn open-source big data processing, and cap the quarter off with honing the art of data visualization and insight. By the end of this quarter, students should be well versed in conceptual knowledge and are ready to embark on independent projects.


Capstone Project & Job-Market Readiness
To complete our immersive program, students work independently on an applied data science project that is unique to his or her interests or career aspirations in a Capstone Project. These projects reflect the technical skill set students have learned throughout the course, and demonstrate their competence and fitness as a real data scientist.


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