Post-Baccalaureate Diploma in Artificial Intelligence and Machine Learning Applications - Tools and Technologies in Data Science

DATA 3016  Tools and Technologies in Data Science

Prerequisites:

DATA 3006

Hours:

Two hours of lecture and one hour of lab per week

Credits:

3

Description:

Students engage with the main state-of-the-art tools and technologies employed in data science and data analytics, including Hadoop, MapReduce, NoSQL database systems, visual analytics, and programming in the R and Python programming languages. Application of the use of these tools are based in real-world applications. Students will also develop an understanding of the computational, mathematical, statistical, and theoretical foundations of these tools.



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