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Data Science and Analytics

Open Closing on February 1, 2025
RBC Future Launch
RBC Future Launch
Placida Dassanayake She
Assistant Professor
2
Experience
1/10 project matches
Dates set by projects
Preferred companies
Anywhere
Any company type
Energy, Food & beverage, Marketing & advertising, Sales, Science
Categories
Machine learning Data visualization Data analysis Data modelling Data science
Skills
data science data engineering statistical learning theory python (programming language) data analysis machine learning sql (programming language) database management tableau (business intelligence software) big data
Learner goals and capabilities

My learners are equipped to tackle projects in machine learning and statistical learning, having gained proficiency in Python and R. They have engaged with several hands-on courses covering machine learning, statistical data analysis, SQL and database management, Tableau dashboard creation, data engineering, and big data. I am seeking internship projects that will help them apply their skills as part of their data science master’s program.

Learners
Graduate
Beginner, Intermediate, Advanced levels
21 learners
Project
200 hours per learner
Learners apply to projects
Individual projects
Expected outcomes and deliverables

Learners are expected to support an ongoing industry project by analyzing data to address specific questions and provide insights and recommendations for the company.

Deliverables may include, but are not limited to:

  • A presentation summarizing their findings
  • A report detailing insights and recommendations
  • Implementation tasks such as creating a dashboard or developing a machine learning model


Project Examples
  • Exploratory Data Analysis (EDA) and Hypothesis Testing
  • Predictive Modeling
  • SQL Data Cleaning and Analysis
  • Dashboard Creation
  • Machine Learning Projects
  • Big Data Analysis
  • A/B Testing
  • Time Series Analysis
Companies must answer the following questions to submit a match request to this experience:

Have you worked with learners or interns before? If so, what was your experience?

Are there any specific resources or support that learners will need to complete the project successfully?

Are there any intellectual property considerations or restrictions for this project?

How often do you plan to communicate with learners throughout the project?

Will you be able to provide a dedicated contact person who is available for [weekly/bi-weekly] sessions to address students' questions and respond to periodic messages throughout the project?