Students who enrolled in the DANA program would typically take courses within 4 semesters. Some students would take final semester for gain more experience through a work term. The details of course per semesters are outlined on this page (https://langara.ca/programs-and-courses/programs/data-analytics/program-curriculum.html).During their final semester (4th semester), students would take the Capstone Project course. Through the capstone projects, teams consisting of 3-4 students work collaboratively over a period of approximately 4 months to progressively develop solutions ranging from initial concepts to functional prototypes. Their efforts involve applying AI and various machine learning techniques to analyze diverse types of data such as numbers, images, and texts. Students possess programming skills in Python, R and SAS.

Do you have a writing or communication task that you want help with? Bring on learners from Langara College to be your learner-consultants, in a project-based experience. Learners will work on one main project over the experience of the semester, connecting with you as needed with virtual communication tools. While the learners are aspiring engineers, we are open to any type of communication tasks.The goals of the experience for the students are as follows:Apply critical thinking in analysis and delivery of communicationsIdentify the purpose, audience, and form for communicationsIf appropriate, use graphics to enhance the communicationDocument sources in a standard formatDemonstrate professionalism, teamwork skills and academic integrity

Students who enrolled in the DANA program would typically take courses within 4 semesters. Some students would take the fifth semester for gain more experience through a work term. The details of course per semesters are outlined on this page (https://langara.ca/programs-and-courses/programs/data-analytics/program-curriculum.html).During their final semester (4th semester), students would take the Capstone Project course. Through the capstone projects, teams consisting of 3-4 students work collaboratively over a period of approximately 4 months to progressively develop solutions ranging from initial concepts to functional prototypes. Their efforts involve applying AI and various machine learning techniques to analyze diverse types of data such as numbers, images, and texts. Students possess programming skills in Python, R and SAS.

How is your business handling business analytics? Students at Langara College will act as consultants using Data Mining to help identify patterns in your organization's data. Data Mining for Business Analytics is becoming one of the fastest-growing areas to help scale your business. A group of student-consultants at Langara College will analyze data sets using state-of-the-art technologies to identify trends and submit recommendations based on predictive models that can enhance decision-making in your organization.