Data Analysis & Data Visualization - Phase 2
Project scope
Categories
Data visualization Data analysis Market research Customer segmentation Machine learningSkills
marketing data visualization data analysis market segmentationWelcome to M2M Tech! We are excited to have you join us this term for an exciting opportunity to showcase the skills that you have acquired throughout your academic and professional career. This project will use your abilities to draw helpful insights for the below stated goals for our company. This project will span over 60 hours, and will be self-paced: you can adjust your schedule to spread out the time over a few weeks so that you can work at a comfortable pace.
Project Creation & Goals:
- Enhance our marketing campaigns through re-evaluating our customer segmentation
- Implement cutting edge technology to analyze our customer segmentation relative to each of our products and services
- Gain insights that will enhance our strategy and help us refocus our product/service marketing
Project Expectations:
During the project, participants will analyze datasets with using different analytical methods and provide these insights in the form of a report.
Our company's work and educational offerings span across different industries, allowing for great diversity in our approach to problem-solving. As our main goal is to equip students with contemporary industry knowledge, we encourage thorough research and collaboration with peers to provide the best solutions and upgrade their skills in the process. By serving a diverse range of industries, we enable organizations to harness the full potential of AI, Data Analytics, and ML to drive innovation, efficiency, and growth across their operations.
Project Details:
- Research : Students will research and analyze current trends & solutions in improving pricing, risk selection, and potential predictive mitigation strategies
- Strategize : Students will plan how to approach and tackle the issue while developing more sophisticated products and pricing models
- Implementation : Students will submit a report on recommendations based on the analysis
Final Deliverables:
- A detailed report through an MP4 video / other format
- A summary report in text (150 words or less)
- Final testimonial on their experience in the program
NOTE: If the project involved an Non-Disclosure Agreement (NDA), please provide redacted deliverables or a sample of non-confidential work.
Benefits for Students:
- Improved Networking Skills: Be a part of a collaborative environment with supportive peers and a large network of employers
- Improved Portfolio: Add a project to your portfolio that demonstrates strong abilities in Data Science
- Exposure to Industry-relevant challenges: Work on a project that directly shows the needs of the industry today
How will we support you?
- Weekly support sessions to encourage community-building
- Weekly Technical 'Data Mastery' sessions to support technical skill development and encourage further learning
- Weekly Career and Resume Workshops to support your advancement into a technical role for the future
- One-on-one support sessions through live calls (Google Meet, Zoom, etc.) regular virtual correspondence (Slack), and email communications - we offer 24/7 support!
We remain committed to supporting our students and participants to allow them the space to create their best work through communication and collaboration.
Students will connect directly with us for mentorship throughout the project. We will be able to provide answers to questions such as:
- Current industry standard approaches to Data Analysis and Data Visualization techniques.
- Relevant training for ramp up that the students needs.
- Regular sync up and communication through Collaboration tools for progress tracking.
- Opportunity to participate in Ideas brainstorming sessions/meeting to pitch your ideas.
About the company
Our mission is to empower Canadians by providing cutting-edge STEM skills and facilitating connections to impactful STEM job opportunities and projects. Specializing in Emerging Technologies such as Data Science, Machine Learning (ML), Artificial Intelligence (AI), Virtual Reality (VR), and Augmented Reality (AR), our organization is at the forefront of fostering skills demanded in key sectors including CleanTech, Advanced Manufacturing, Business Intelligence, Finance, and Healthcare.
In addition to upskilling initiatives, we actively engage in Research and Development (R&D) activities. Our organization is committed to pushing the boundaries of knowledge in Emerging Technologies. Through strategic R&D projects, we explore novel applications, contribute to technological advancements, and stay ahead of industry trends.