Certificate in Data Science
Description
Data Science presents an intermediate level of content in the areas of statistics, data analytics, big data analytics, machine learning, and technical/software applications. You’ll learn technical concepts from leading practitioners and benefit from hands-on courses and computer lab training with the latest industry tools. In this program, you'll work individually and on teams to complete course projects and build a professional portfolio.
You’ll learn to:
• Identify a business problem and determine if, and how, an analytics solution is applicable
• Translate a business problem into an analytics problem
• Propose, and refine, analytical solutions to business problems
• Collect, analyze, interpret, and share data
• Identify relationships in data
• Select problem-solving techniques and software tools to test analytical solutions
• Employ common industry software tools
• Identify, test, and evaluate model structures to apply to solve a business problem
• Assess new and emerging technologies, tools and strategies applicable to data science and related fields
• Identify a business problem and determine if, and how, an analytics solution is applicable
• Translate a business problem into an analytics problem
• Propose, and refine, analytical solutions to business problems
• Collect, analyze, interpret, and share data
• Identify relationships in data
• Select problem-solving techniques and software tools to test analytical solutions
• Employ common industry software tools
• Identify, test, and evaluate model structures to apply to solve a business problem
• Assess new and emerging technologies, tools and strategies applicable to data science and related fields
The program is designed for professionals and offers evening and/or Saturday courses that allow you to finish in 12-18 months. In as little as one year you’ll be on the fast-track to capitalizing on the rapidly changing digital landscape.
Admission Requirements:
This program is an open enrolment program. There is no formal admission procedure. To enrol in a course or the program, simply register online. Students should register at least three weeks before classes begin. Courses can be taken as part of a program or individually.
Data Science Program Requirements & Prerequisites
In compliance with the Certificates and Diploma admission policy from Undergraduate Council, learners who wish to enrol in Data Science should meet the following requirements based on their education and work experience:
Possess a minimum of introductory level prior education or work experience in the field of data analytics, statistics;
- Proficiency with computer program applications, such as Word, Excel, and Access;
- Be a mature student as defined in the Undergraduate Calendar of McMaster University; or
- Be deemed an exceptional case by McMaster Continuing Education. Prospective students within this category must contact the Program Manager for consultation and evaluation of past education and professional experience;
Data Science program follows Bring your own device (BYOD) policies. Laptop computer requirements are included in the course descriptions for courses that require a minimum level of technology specification.
Do you need additional training?
You may find additional training resources in Python programming, SQL, and PowerBI from one of our partners, Ed2Go. View professional development course list here. You are welcome to choose other extra education/training options appropriate to your background.
English Language Proficiency Requirements
If your first language is not English, you must meet McMaster University’s English language proficiency requirements: Completion of TOEFL exam with a minimum acceptable score of IBT: 86 overall with a minimum score of 20 on each of the four components (Reading, Writing, Speaking, Listening), valid for 2 years?"
Data Science Certificate
To earn a Data Science Certificate, students must complete five (5) elective courses (15 units of credit) from the following Data Science course collection:
Course Options
• DAT 200 Statistical Analysis for Data Science
• DAT 201 Data Analytics & Modelling
• DAT 202 Data Management
• DAT 203 Predictive Modelling and Data Mining
• DAT 301 Machine Learning for Big Data Analytics
• DAT 204 Data Analytics Tools
• DAT 205 Data Science Capstone Project
Note: Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.
Overview
- Institution: McMaster University
- Program type: Certificate
- Language: English
- Program Code: DATADSCERT
- Delivery Method: Fully Online/Distance
Disclaimer:
Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.
Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.