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Post-Graduate Certificate Data Analytics Accelerated Program

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Data 401 - Data Literacy

    This course aims to equip students with essential data manipulation and modelling techniques. It explores various data formats and styles, enabling students to understand data extraction, transformation and loading the datasets. Students will learn to refine and query data from the databases using query language. Through the lens of data analysis, students will craft informative narratives to aid organizational decision-making.

Data 410 - Business Context for Data Analysis

    Introduces the use of data to meet the needs of an organization and apply data in decision-making. Understand a balanced approach to integrating data decisions in business processes and strategic alignment.

Data 415 - Statistical Analysis of Data

    Using statistical techniques to arrange, extract, transform and load the datasets to gain insight from data. Students will learn a diverse range of statistical methods and analyze datasets with the purpose of effectively conveying information to business decision-makers.

Data 420 - Predictive Analytics

    This course is based on fundamental analytics models using a programming language. It entails proficiency in predictive analytics models, encompassing data mining, data aggregation, integration, and data visualization. Students will also explore the application of market research and data mining techniques to anticipate challenges and enhance results.

Data 445 - Business Analytics

    This course aims to provide students with a comprehensive understanding of data analysis principles and methods, employing widely recognized industry tools and techniques. Students will gain the skills to proficiently utilize data analysis tools and deliver refined insights by engaging in hands-on exercises and using industry-standard analytical tools to inform decision-makers.

Data 460 - Business Intelligence Reporting

    This course provides students with a comprehensive understanding of data visualization concepts and techniques used by leveraging industry-standard business intelligence software. Students will also gain knowledge in enhancing, customizing, and effectively managing professional reports.

Data 475 - Advanced Concepts in Data Analytics 

    In this course, students will explore advanced data analysis concepts, including machine learning, natural language processing, deep learning, artificial intelligence and probabilistic programming. Students will also examine trends in predictive and prescriptive analytics, as well as developments in IoT and cloud computing.

Proj 406 - Data Analytics Capstone Project

    This capstone project for the Data Analytics program presents the framework for students to complete a synthesis of the program outcomes and learning in a final, demonstrative manner.


References: https://www.sait.ca/programs-and-courses/certificates/data-analytics