Trebas (Toronto) Canada | Diploma in Data Analytics Co-op
To be able to establish themselves in a competitive ecosystem, companies can now base their business strategies on big data and technologies derived from artificial intelligence research. To be able to establish themselves in a competitive ecosystem, companies can now base their business strategies on big data and technologies derived from artificial intelligence research.
Trebas (Toronto) Canada | Diploma in Data Analytics Co-op
To be able to establish themselves in a competitive ecosystem, companies can now base their business strategies on big data and technologies derived from artificial intelligence research. To be able to establish themselves in a competitive ecosystem, companies can now base their business strategies on big data and technologies derived from artificial intelligence research.
Description
The rapid technological advances of recent years now require new expertise and skills. Upon completion of their training during Diploma in Data Analytics, the student will develop the in-demand skills and knowledge needed to analyze data and drive proactive decision-making to improve business performance. This Co-op work experience will give a competitive advantage.
The Trebas Institute’s Data Analytics Co-op Diploma program will give you the tools and knowledge you need to help create value for the company you work with.
Become highly-proficient in data mining, database and analytics. Study data analytics program using industry-standard software programs and online platforms, within a curriculum that is constantly updated to give you an edge in the job market.
Key facts
Intakes: January, April, July and October
Duration:
- 840 hours
- 12 months (52 weeks)
- 3 terms
- Full-time
Daytime classes
Co-Op Work Experience
OSAP Eligible: https://www.trebas.com/admissions/financial-aid-osap/osap
Tuition fee:
- Tuition – CAD$ (Domestic): 11,995
- Tuition - CAD$ (International): 14,495
What you'll learn
- Learn to collect data through automated and traditional methods of data collection
- Gain the skills to handle and analyze large volumes of data and identify data gaps
- Acquire knowledge to use R, the leading programming language in data science and statistics
- Get hands-on experience in using software such as SQL & SAS for data handling and analysis
- Real-world work experience
Career roles:
- Data Analyst - Informatics and Systems
- Database Analyst
- Data Mining Analyst
- Data Warehouse Analyst
Curriculum
Curriculum for this course
3 Lessons
-
• Learn to collect data • Gain the skills to analyze large volumes of data and identify gaps • Data Design - 150h • Data Handling and Decision Making - 150h
-
• Acquire knowledge to use programming language • Get hands-on experience in using software • Working with Data using SAS and SQL - 150h • Data Visualization and Interpretation - 150h
-
• Co-op term: Get an opportunity to integrate academic studies with related employment experience. • Work Placement - 240h
Read more
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