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Data Science and Machine Learning Software Foundations Certificates

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Delivered by the Data Sciences Institute, University of Toronto

Is this the best upskilling program for you?

start dates

November 18, 2024

provinces
Languages

English

Duration

16 weeks

Delivery

Hybrid

Credential

1) Data Science; and 2) Machine Learning Software Foundations

information about the program

Through engaging, online, instructor-led live webinars, participants are equipped with essential technical skills to pursue a career transition into data science and machine learning roles.

Participants who successfully complete the certificate will be able to:

– Demonstrate a solid understanding of data science principles; effectively use command line interfaces and version control software.

– Apply practical programming language skills in Python.

– Effectively interact with relational databases through queries and data manipulation using SQL commands.

– Design, implement, test and validate various supervised learning models.

– Apply structured approaches to build, maintain, and improve robust software.

Participants who complete the Data Science Certificate will be equipped with the skills to explore data sampling methods for reliable analysis and to master visualization techniques, which facilitates easier interpretation and decision-making with complex data sets. Those who complete the Machine Learning Software Foundations Certificate will gain proficiency in advanced predictive analysis techniques, understand comprehensive model evaluation strategies for reliable predictions, and acquire foundational knowledge in deep learning, including neural network applications.

Throughout the learning journey, both certificates integrate job readiness sessions, personalized one-on-one career support, access to a curated list of employment opportunities, and engaging networking events. These vital components empower participants in their pursuit of sought-after roles in the fields of data science and machine learning. By fostering a holistic learning experience, we not only equip individuals with technical expertise but also the professional skills and connections essential for a successful transition into new, or advanced, roles in the evolving landscape of data science and machine learning. 

Participants will:

– Elevate their communication skills.

– Craft a sector-specific resume and prepare for technical assessments.

– Enhance their networking skills and presence on social media platforms.

– Develop skills and strategies for behavioral and technical interviews

Eligibility for SalesCamp

To be admitted and accepted into the program, you must be:
  • Be actively searching for work and ready to take on employment opportunities tech sales.
  • Be able to legally work in Canada. 
  • Not be a full-time student.
  • Be a highly motivated individual actively seeking out new opportunities.
  • Have least 3 years of formal work experience in Canada or abroad.
  • Have an English language rating of CLB Level 8, or IELTS of 6.5 overall.
  • Be available for Zoom sessions, many of which will be full-time.
  • Be able and committed to attending networking day events as part of regular programming.
  • Be comfortable using technology and learning online.
  • Live or intend to live in the province where the program is being offered.
  • Have a reliable internet connection, device, and a quiet environment for virtual learning.
  • Be committed and able to join the Canadian workforce full-time immediately following the program.
You may not be eligible if:
  • You do not pass our application and/or interview skills assessment. 
  • You are not actively searching or able to start a job in business-to-business tech sales.
  • You are not able to legally work in Canada.
  • You do not reside in the province where the program is operating.
  • You are going to school full-time.
  • You do not have three years of work experience outside of your studies.
  • You are interested in taking SalesCamp solely for learning purposes, but are building your own business and not intending to work in the field.

Download the Fact Sheet

Download the Fact Sheet

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