Data Analysis Tools for Analytics
Course Information
Students are introduced to different scripting language tools such as SQL, NOSQL, Apache, Java and Python that support data analysis on large volumes of data. They also analyze the strengths and limitations of current tools used today. Students review and recommend which tools best support data analysis, data quality, problem solving, analysis, analytics and business decision-making for different functions and industries.
Intake F25 SEM
Start Date Sep 09 / 2025
End Date Dec 16 / 2025
Prerequisite(s):
n/a
Computer Software Requirements:
n/a
Chats:
Yes
Group Work:
n/a
Registering college code:
DU-DATA1282
Host college code:
AL-DAT1030
How to register
You can register in-person, on-line, or by phone. When registering for a course, it is not necessary to include the 2 digit college code prefix (e.g. ENL001– not DU-ENL001). For details visit https://durhamcollege.ca/academic-schools/centre-for-professional-and-part-time-learning/registration-and-admission/how-to-register-2
Contact
Centre for Professional and Part-time Learning
Email : ppl@durhamcollege.ca
2000 Simcoe Street NorthOshawa, ON
L1H 7L7
Phone : (905) 721-3052