My team at Amazon couldn't have built its recommendation system without the foundational data mining and machine learning skills taught in this course. When contributing to the curriculum, I was careful to balance the theory with the real-world challenges of applying it to big data.
Former Senior Manager, Amazon.com
I learned more from the hands-on methods at General Assembly than I did during my entire three years in law school. GA's courses allow students to focus on the ideas that are most interesting to them and that will help propel their careers forward.
Whitney Meers, Digital Content Specialist
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Kevin Markham has spent his career building technology for social good, ranging from an innovative online bookstore for low-income children to a donation platform connecting companies with excess goods and the charities that need them. Most recently, he co-founded Causetown to enable small businesses to easily launch charitable promotions that drive sales while doing good. Kevin is passionate about learning from data and is excited to introduce students to the fundamentals of data science. He enjoys cooking, theatre, cycling, and participating in machine learning competitions. He graduated from Vanderbilt University with a Bachelor's degree in Computer Engineering.
GA Washington D.C. (1776 8th Floor)
1133 15th Street NW, 8th Floor
Washington , DC 20005
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Q: Why is this course relevant today?
Given the prevalence of technologies and the amount of data available in the online world about users, products, and the content that we generate, businesses can be making so much more well-informed decisions if this vast amount of data was more deeply analyzed through the use of data science. The data science course provides the tools, methods, and practical experience to enable you to make accurate predictions about data, which ultimately leads to better decision-making in business, and the use of smarter technology (think recommendation systems or targeted ads).
Q: What practical skill sets can I expect to have upon completion of the course?
This course will provide you with technical skills in machine learning, algorithms, and data modeling which will allow you to make accurate predictions about your data. You will be creating your models using Python so you will gain a good grasp of this programming language. Furthermore, you will learn how to parse and clean your data which can take up to 70% of your time as a data scientist.
Q: Who will I be sitting next to in this course?
Individuals who have a strong interest in manipulating large data sets, finding patterns in data, and making predictions.
Software developers who want to solve problems that involve large data sets, such as predicting user behavior on their website, making decisions, or the best way to classify content.
Individuals with a good grasp of programming, a solid knowledge of statistics and probability but missing the intersection of them both.
Q: Are there any prerequisites?
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