Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
Machine Learning in Business by the Rotman School of Management, University of Toronto is a program that will make a data science team better and more proficient and give the data analysts the opportunity to traverse and communicate their language and mindset to their businesses which in turn will increase the chances of greater business benefits.
Machine Learning in Business being a subsection of Artificial Intelligence implements means that assist the data analyst in examining huge sets of data in every other field whether in healthcare or finance. This course is a thorough run-through to the candidates about machine learning and its numerous methodologies.
This program ensures that candidates address the managerial doubts but at the same dive into the world of machine learning and learn the various consequences it can have on a business in the future. Machine Learning in Business program is designed to locate fast-growth areas of business via machine learning techniques which includes but is not limited to Support Vector Machines (SVMs) and Natural Language Processing (NLP).
The Highlights
- Course duration – 2 months
- 4 to 6 hours of weekly effort
- Online learning imparted
- Availability of different payment options
- Verified certificate from Rotman School of Management
- Certificate provided digitally
- Discounts on a group sign up
- A 14-day money-back policy
Programme Offerings
- Case Studies
- Real Data Sets
- Application Exercise
- Peer Discussion Groups
- Coding Exercise
- ML Playbook
- Guest lectures
- E-learning
- Crowd Sourcing Activities
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Rotman School of Management, Toronto |
Mentioned below are the fee details for the Machine Learning in Business program by the Rotman School of Management:
- The entire fee amount is CAD 2600 which can be paid in full.
Fee details for Machine Learning in Business
Particulars | Amount in CAD |
Pay in Full | CAD 2600 |
NOTE: A discount of up to 20% is available for the candidates who sign up for the course in a group with their colleagues, under the ‘special pricing for group enrollments’ facility.
For more information, candidates can send an email to this email address: [email protected]
Eligibility Criteria
Certification Qualifying Details
After the full payment of the fee for the Machine Learning in Business course and after successfully completing the learnings of the course, candidates will be eligible to get a certificate from the Rotman School of Management.
What you will learn
There are a lot of concepts that the candidates will learn during the course of the
- Machine Learning in Business program by Rotman School of Management. The learning outcomes are as mentioned below:
- After the course completion, candidates will learn how to communicate effortlessly on different subjects related to the processes, applications, and strategies connected to Machine Learning.
- This course will teach the candidates the importance of data science teams in business houses and the effectiveness of their guidance to improve business internally and externally.
- Machine Learning in Business program gives the candidates a clear idea on how to sketch frequently used regular algorithms and suitable applications of each of them to business.
- Candidates shall comprehend various methods to recognize manners in which machine learning can work hand in hand with a business leader.
- They will understand how different machine learning techniques within a business can increase the understanding between the business and the existing and potential customers.
- Candidates will learn how to gather data with these machine learning methods and use the provided data to make predictions about a company’s future, in order to make them prepared.
- During the course of Machine Learning in Business, program candidates will also develop an understanding of approaches to data work by machine learning in order to coordinate with data science teams and get great output.
- This course will successfully teach candidates how they can narrow down the mindset and language of machine learning & business leadership.
- The concepts of machine learning learned during the course will teach candidates how to bring clarity to business decisions.
Who it is for
The Machine Learning in Business program by Rotman School of Management can be done by anyone who wishes to know about machine learning techniques. However, it is especially recommended for the ones mentioned below:
- Consultants who want to assist their clients to come up with strategies around the Machine Learning (ML) capability, strategy, or talent.
- Technologists of the IT sector and solution architects who wish to form IT architecture with the help of ML technology.
- C-Suite Executives wanting to assist in investments in data science and machine learning.
- Mid-Level Managers who wish to apply data-driven methods for conducting proper management.
- Functional Leaders like directors of innovation and marketing, get to know the business value and gain company knowledge via ML.
- Project and Product Managers want to improve the engagement of users and understand customers’ needs for products/ services.
Admission Details
To sign up for the Machine Learning in Business course by Rotman School of Management, candidates need to follow the following easy steps:
Step 1: https://execonline.rotman.utoronto.ca/machine-learning-in-business, go on the link mentioned above to visit the course page.
Step 2: To click on the ‘apply now’ option, candidates can scroll down to the bottom of the web page.
Step 3: Candidates have to create an account under their name on the Rotman School of Management if they do not have one to proceed further.
Step 4: Now the candidates have to make a payment of their fees online, either in installments or one-shot.
Step 5: once, the candidates have entered their payment details, they can click on the ‘pay now and secure my seat’ option for successful registration.
The Syllabus
- What is the language of this domain
- What are the three different types of ML
- Examples of their applications for business.
- Dive into the purpose of unsupervised learning models
- Address managerial questions related to clustering and customer segmentation.
- Transition from statistics to machine learning with the use of regression models.
- Start to predict outcomes to inform business decisions.
- When facing a big decision, discover which questions on a decision tree are the highest priority
- Data points not cooperating for classification? Tap into a technique that helps to classify even your most stubborn data.
- Discover a fast-growth area of machine learning - neural networks - one of the most flexible approaches to supervised learning.
- Reinforcement learning - good for defining the best sequence of decisions that allow you to solve a problem while maximizing a long-term reward.
- How do your customers feel about your brand?
- Are financial analysts bullish about your business or not?
- One major application of NLP is sentiment analysis.
- But also voice assistants and chatbots.