Data Engineering and Analytics with Co-op

Canadian College of Technology and Business – CCTB

Course

In Vancouver (Canada)

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£ 9,833.00 VAT inc.

*Indicative price

Original amount in CAD:

$ 16,878 $ 18,900

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Description

  • Type

    Course

  • Level

    Advanced

  • Location

    Vancouver (Canada)

Learn how to use a range of technical skills. Gain the knowledge, practical experience, and confidence of a data expert. In this program, you will learn to analyze, develop, and implement complex data structures as well as market yourself professionally.

Studying the Data Engineering and Analytics with Co-op program will allow you to become the ideal candidate for a junior/intermediate level role in a modern software development organization.
This program is designed for students looking to pursue a rewarding career in the field of Information Technology as a highly qualified Data Analyst.

The objective of this program is for you to develop data analyst skills that are widely utilized across the industry. By the time you have completed your diploma, you will be able to manage data migration and drive data-related issues to resolution.

Studying the Data Engineering and Analytics with Co-op program will provide you with skills that you can take into any number of different roles. Some roles you could consider pursuing after you finish the program include:

• Database Administrator
• Data Miner
• Database Analyst
• Database Management Supervisor
• Technical Architect

Facilities

Location

Start date

Vancouver (Canada)
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Start date

SeptemberEnrolment now open
JanuaryEnrolment now open
MayEnrolment now open

About this course

Develop your skills and access a wide range of career opportunities as a much sought-after Data Analyst. Once you have completed your qualification, you will also be able to confidently present your knowledge and skills to potential employers.

At CCTB, your success is our goal. We provide you with the highest quality training, preparing you for a rewarding career in an increasingly digitalized world.

Our curriculum is designed and taught by seasoned professionals and is based on real-life industry needs in tools and methodology. Our database developer program is taught in a highly interactive environment, engaging you in a format most companies use to conduct their business.

CCTB is committed to providing career orientation, guidance and complete employment support. Throughout your studies, you will learn self-marketing techniques and receive support in securing employment in your desired field. We strive to deliver an outstanding level of support as you enter or re-enter the workforce.

• Good command of English language
• High school diploma or equivalent from an approved government of applicant's home country, or applicant is minimum 19 years of age
• Students are required to bring their own computers to class

English Language Requirements:

Applicant must attain one of the following English language requirements:

• Successful completion of CCTB EAP (English for Academic Purposes) Level 4 or
• Have the required IELTS 5.5 score or equivalent or
• Pass the CCTB English Assessment (Written onsite or online with exam proctor)

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Subjects

  • Engineering
  • Information Systems management
  • Linux Administration
  • SQL
  • SQLite

Course programme

Information Systems Management
  • In this course, students will be introduced into the Information Technology Organizational Structure and become familiar with the different I.T. business units that make up an enterprise-level project and their respective roles. Students will gain an understanding of the effective collaboration and coordination of these different business units and roles in order to drive project objectives to the solution.
  • This course will introduce students to different Software Development Lifecycle models and frameworks and how projects are organized and initiated within each model.
  • This course will introduce the concept of business requirement interpretation and analysis and how they translate into a strategic objective for a project. Students will become familiar with issue tracking and reporting as well as become proficient in the Application Lifecycle Management (ALM) and Quality Center backtracking system software.
Introduction to Linux Administration

This course is an introduction to Linux and Unix System Administration. Students will be introduced to a variety of topics including the underlying system architecture, command-line interface administration, device and filesystem management, networking, common administration practices and bash shell scripting.

Relational Database Systems and SQL

In this course, students learn the tools and processes for data modelling in Relational Database Management Systems (RDBMS) and the Structured Query Language, SQL, to define and manipulate data.

Introduction to Data Structures, Design and Analysis

This course will develop the foundation skills and knowledge required for the design, implementation and analysis of data structures.

Business Analysis and Systems Design

In this course, students will learn the foundation of business analysis.

Probability and Statistics Fundamentals

In this course, students will learn the main concept and methodology of statistics and the main concepts of probability.

Statistics for Data Analysis

In this course, students will learn a programming language R that was created for statistical analysis. Will be able to apply multiple linear regression model and its components and approaches. ANOVA table. Correlations.

Applied Multivariate Statistical Analyst

In this course, students will learn a programming language R that was created for statistical analysis. Will be able to apply multiple linear regression model and its components and approaches. ANOVA table. Correlations.Machine Learning
In this course, students will learn about artificial intelligence.

Data Warehouse (EDW) Concepts

In this course, students will learn about artificial intelligence. In this course, students will learn how to design warehouses and create data integration workflows from multiple sources.

Visual Analysis for Business Intelligence (BI) with Tableau

In this course, students will learn about data visualization.

Business Intelligence (BI) with SSIS, SSAS, SSRS

In this course, students will learn about SQL Server services.

Advanced Topics in Data Analysis: Big Data, Data Mining, Cloud Computing

In this course, students will learn the main concepts of Big Data, Data Mining and Cloud Computing.

Security and Privacy Issues in Data Analytics

In this course, students will learn about the security and privacy issues of big data.

Employment Preparation Training

The purpose of this course is to prepare students for the employment upon completion of the program. This course will ready students through resume crafting, portfolio development, job search strategies, interview preparation and salary negotiations as well as career development training

Additional information

Fee

Domestic and International: $ 18,900 
after launch promotion: $16,878

See related categories

Data Engineering and Analytics with Co-op

£ 9,833.00 VAT inc.

*Indicative price

Original amount in CAD:

$ 16,878 $ 18,900

The best IT Systems courses

See all

See all