Academic Calendar
Post-Baccalaureate Diplomas and Certificates
Post-Baccalaureate Diplomas and Certificates
Post-Baccalaureate Diploma in Artificial Intelligence and Machine Learning Applications
Post-Baccalaureate Certificate in General Management
Post-Baccalaureate Certificate in Human Resource Management
Post-Baccalaureate Diploma in Business Administration
Post-Baccalaureate Diploma in Environment and Sustainability
Post-Baccalaureate Diploma in Finance
Post-Baccalaureate Diploma in Health and Social Impact
Post-Baccalaureate Diploma in Human Resource Management
Post-Baccalaureate Diploma in International Business
Post-Baccalaureate Diploma in Marketing

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:

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.

Nipissing University
100 College Drive, Box 5002, North Bay, ON, Canada P1B 8L7 Tel: (705) 474-3450 | Fax: (705) 474-1947
nuinfo@nipissingu.ca