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Overview
What you will study
Every day we have to take decisions based on limited resources. Limits on money, assets, technology, materials and specially time. With this Big Data Analytics for Business course at Concordia University Montréal you will learn how to identify the different challenges in Big Data and how to use Data Analytics to solve them.
From regression, to classification, clustering, recommendation systems and natural language processing. You will see how businesses are leveraging analytics and machine learning to solve these problems and how you can apply in your own use cases.
Programme Structure
The program focuses on:
- Understand the challenges in big data analytics;
- Understand the big data analytics project life cycle;
- Identify business opportunities with data analytics and machine learning;
- Build a data driven solution on real world datasets.
Key information
Duration
- Part-time
- 2 months
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
More details
- There are no upcoming dates at this time.
Language
English
Delivered
Online
Campus Location
- Montréal, Canada
Disciplines
Data Science & Big Data View 16 other Short Courses in Data Science & Big Data in CanadaWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Knowledge of Excel and/or SQL is highly recommended.
- Individuals who want to improve the performance of their organization by harnessing Big Data.
- Professionals who want to leverage data for better decision-making.
- Entrepreneurs with projects that could benefit from data analytics.
- Students in fields like geography, biology, psychology, humanities or any other field with big data.
- IT professionals who want to transition to Big Data from more traditional sectors.
Tuition Fees
Funding
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