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 S26 SEM

Start Date May 12 / 2026

End Date Aug 18 / 2026

Prerequisite(s):

n/a

Computer Software Requirements:

n/a

Chats:

Yes

Group Work:

n/a

Registering college code:
SL-CSAL224

Host college code:
AL-DAT1030

How to register

You can register in-person, online, or by phone, fax or mail.  When Registering for a course, it is not necessary to include the 2 digit college code prefix (e.g. ENL001–not SL-ENL001). For details visit https://parttime.stlawrencecollege.ca

Contact

Continuing Education
Phone : (613) 544-5400
Email : LifelongLearning@sl.on.ca

100 Portsmouth Avenue
Kingston, ON, ON
K7L 5A6

Phone : 613-544-5400
Toll Free : 1 (866) 276-6601
Fax :

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