Data Analytics Micro-credential

For those interested in a lucrative career in Data Science, Sheridan’s Data Analyst Micro-Credential is designed to be the first step towards achieving those professional goals. Designed to be a foundation series of courses that build on fundamental statistical and programming skills, students can expect to gain a competitive advantage within the Data Science industry. Students who are interested in understanding the ‘why’ from an analytical perspective, this Data Analyst program can help to achieve job-ready knowledge and skills required to solve real-world problems.

Through the ‘practitioner’ lens of Data Science, students will be introduced to the wide world of data science programming languages such as SQL, R, and Python, with an expanded knowledge of Tableau to better understand data visualization. The courses are designed as building blocks, with students being further introduced to Big Data Tools and deep learning scripting. Students will begin to understand analyzing, exploring, predicting, and reporting on small and large data sets for various industries, and initiating problem solving techniques to facilitate better business decisions. This program is ideal for a candidate who is focused on transitioning to data science from another industry and enjoys working through complex problems that they might experience in the workplace.

Students looking to gain the Certificate will successfully complete the following four courses: Business Problem Analysis and Modelling, Data Cleansing, Data Science Foundations, and Statistics for Data Science.

What You’ll Learn

• Understand and apply the fundamentals of data science and predictive modeling.
• Utilize advanced statistical concepts.
• Use tools and technologies related to data mining and analysis.
• Provide impactful strategies for presentation of data, with solid business-related outcomes.