Learn how to leverage big data and artificial intelligence to solve business problems. Develop skills in data exploration, visualization, and predictive modelling using machine learning techniques. Become job-ready in just 18 months.
What Do Data Analysts Do?
Data analysts gather and analyze information to discover hidden patterns. They turn raw data into insights that companies use to make better decisions.
They are typically responsible for:
- Collecting data from sources like databases and surveys
- Cleaning and organizing the data to make sure it’s accurate and complete
- Spotting trends and patterns in the data
- Producing charts and graphs to represent the data in an easy-to-understand way
- Explaining their findings to business decision makers
Herzing College Data Analytics With AI Program
This program is designed to help you develop the data management and AI skills sought by today’s employers. Training includes an internship, giving you valuable real-world experience even before you graduate.
- 18-month diploma program
- Delivered online
- 8-week internship included
- Multiple start dates; enrol at any time
- Financial assistance may be available for students who qualify
Career Outlook
Professionals with skills in data analytics can find work with:
- Software and IT services firms
- Healthcare organizations
- Banks and insurance companies
- Retailers
- Government agencies
- Educational institutions
Study Topics
Our Data Analytics / Artificial Intelligence program covers data management and analysis, cybersecurity, predictive analytics, and advanced machine learning.
You will learn how to:
- Formulate business problems in the context of big data, propose potential solutions, and establish key performance indicators to evaluate the effectiveness of these solutions
- Design and set up the necessary data analytics platforms and environments
- Execute data ingestion processes, transferring data from various sources to the prepared analytics environment
- Conduct comprehensive data exploration, summarization, and visualization to glean insights from the dataset
- Distinguish between target variables and independent variables in the data
- Develop predictive models using suitable machine learning techniques
- Implement the model in a predictive service, enabling its deployment for real-world applications
Click to see a detailed description of each course:
This course provides an in-depth understanding of networking principles and the revolution of software-defined networks. Topics include network architectures, protocols, and the functionalities and advantages of software-defined networks.
This course focuses on the principles and management of enterprise network operating systems, including installation, configuration, and troubleshooting. You will learn about system security, user and group management, network services, and data management.
An introductory course to Python, a widely used language in data analytics. The course covers Python syntax, data structures, functions, and libraries, as well as real-life problem solving using Python.
In this course, you’ll learn the essential SQL queries for data manipulation and analysis. You’ll also be introduced to NoSQL databases and their uses in handling big data and real-time web applications.
This course provides insights into various data storage methodologies, data replication techniques, backup strategies, and recovery procedures. You will learn how to manage and protect data effectively.
This course introduces you to the techniques of data preprocessing, like data cleaning, transformation, and scaling. It also covers building data pipelines, streamlining the process from data collection to analysis.
This is a foundational course that develops your understanding of key statistical techniques used in data analysis, such as probability, hypothesis testing, regression, and Bayesian statistics.
This course explores how data is leveraged within enterprise settings. Topics include data architectures, data governance, data integration, and how data analytics fits into the larger ecosystem.
This is a practical course focused on presenting and visualizing data using tools and software. You will learn how to design dashboards, reports, and graphs that effectively communicate data insights.
This course explores the fundamentals of cloud-based data solutions. It covers cloud storage, cloud-based data analytics platforms, and the management of data in a cloud environment.
This course guides students in preparing for a data analytics career, with sessions on resume writing, interview skills, job search strategies, and industry networking.
An essential course covering fundamental concepts in cybersecurity, such as threat landscapes, security architectures, encryption, and network security. It helps students understand the importance of security in data management.
This course introduces machine learning techniques used to make predictions from data. It covers the creation, evaluation, and application of predictive models in various industries.
This course focuses on the ethical considerations in data analytics, including issues related to privacy, confidentiality, and bias, and the responsible use of data and analytics.
A course designed to introduce the core principles of machine learning, including both supervised and unsupervised learning. It covers key algorithms and their applications.
This course delves deeper into machine learning, exploring advanced techniques such as neural networks, deep learning, and reinforcement learning, and their real-world applications.
This course explores the application of AI in decision-making processes, showcasing its role in various fields and illustrating its practical implementation through real-world case studies.
The internship component of the program is the practical application of a student’s knowledge and skills in an industry environment. The industry shall be directly related to the student’s program of study.
Admission Requirements
What you need to get started.
- Quebec issued high school diploma or equivalent
- Minimum of two consecutive terms OR One school year interruption from full-time studies OR Minimum of one year post-secondary education
- Pass a general admissions entrance test
- Meet any additional program specific entrance requirements
Not all programs and learning formats available at all campus locations.
The Data Analytics With AI program is registered at and delivered by Herzing College Montreal.
This program leads to an Attestation of Collegial Studies (ACS) recognized by the Minister of Education and Higher Education of Quebec.
Herzing College Montreal is a post-secondary institution recognized by the Ministry of Education and Higher Learning (permit number 749758) and a secondary vocational studies institution (permit number 534501).
