Location
Newmarket
Duration
46 Weeks
Internship
Not Available
Type
Hybrid
Your Future Starts Here!
Program Overview
Our Data Analytics program is designed to equip aspiring professionals with the critical skills and expertise needed to excel in the ever-evolving world of data. This 46-week program combines in-class and online learning, providing a flexible and immersive educational experience tailored for success in this data-driven industry.
Program Highlights
- Hybrid learning model with both in-class and online components
- Hands-on labs to reinforce learning
- Industry-recognized certifications: PCEP, and Linux Essential
- Career development and job placement assistance.
- Experienced instructors and a supportive learning environment
Request More Info!
Your Career
Earning a diploma in Data Analytics unlocks exciting career opportunities in the rapidly expanding field of data-driven decision-making. With this diploma, you can embark on a journey as a skilled data analyst, business intelligence specialist, or data-driven strategist, helping organizations harness the power of data. Your diploma is your gateway to a dynamic and rewarding career in the growing world of data analytics, offering endless possibilities for success in the tech and business industries.
Career Opportunities
- Data Analyst
- Data Administrator
- Database Analyst
- Business Intelligence Analyst
- Data Visualization Specialist
Learn All About The Data Analytics Program
Program Courses
This course provides students with a foundation in statistical concepts and techniques essential for data analytics using Python.
In this course, students will develop proficiency in Python programming, essential for data analysis, machine learning, and artificial intelligence applications.
This course is designed to give students a solid foundation in the R programming language. R is a powerful tool for data analysis and visualization, and this course will guide students through its application in real-world scenarios.
In this course, students will gain a deep understanding of databases, their role in modern computing, and the fundamentals of SQL (Structured Query Language), a powerful tool for managing and manipulating data.
This course is designed to teach students the necessary skills to gather, clean, and transform raw data into high-quality datasets suitable for analysis and modeling.
This course provides a comprehensive introduction to the fundamentals of Machine Learning (ML) within the context of Data Science and Artificial Intelligence.
This course provides students with an in-depth understanding of the techniques and tools used to analyze, interpret, and manipulate human language data.
This course is designed to provide students with a solid foundation in Big Data and Cloud Computing, which are essential components in Data Science and AI.
This course provides students with a solid understanding of Linux and Unix operating systems, with a focus on their applications in the field of Data Science and AI.
This course teaches students how to create engaging data visuals and reports. They’ll learn to use tools and techniques to analyze data and share insights effectively.
This course equips students with the essential skills to thrive in contemporary data-driven landscapes.
This course introduces students to techniques and algorithms for optimizing processes and models in data analytics.
This course explores the ethical considerations and privacy concerns surrounding data collection, usage, and dissemination.
This course is designed to equip students with the essential knowledge and skills required for effective business intelligence (BI) practices.
This course is designed to provide students with a foundational understanding of Hadoop and its ecosystem.
The course is designed to equip students with the knowledge and skills necessary to gather data from the web efficiently and effectively.
Admission Requirements
1. MINIMUM OF GRADE 12(OSSD) – education or Mature Student status (19 years of age or older and out of school for 1 year or more);
2. ENTRANCE EXAMS – Successful completion of City College Entrance Exams and requirements for the program;
3. Current Resume;
4. ADMISSIONS INTERVIEW with an Education Consultant
5. Meeting with the Financial Aid Officer.
If you are an international student please contact us for more information regarding admission requirements
Approved as a vocational program under the Private Career Colleges Act, 2005.