Start Date: June 17, 2024
Applications Open: April 8 - May 13, 2024
How to obtain useful data to analyze and manipulate when creating and maintaining databases. These courses will help establish key data analytics concepts and thinking processes at a business and enterprise level.
SQL is a programming language used to manage and manipulate relational databases, making it a powerful tool for data analytics. It allows users to extract, manipulate, and analyze data from large databases quickly and efficiently, by providing capabilities for querying and filtering data, aggregating and summarizing data, joining multiple tables, and performing calculations on data. SQL is widely used in data analytics and is a valuable skill for anyone working with data.
Python is a high-level programming language used in data analytics because of its simplicity, versatility, and powerful libraries. Its ease-of-use and wide range of libraries such as NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn make it an excellent choice for data manipulation, visualization, and machine learning. Python also offers interactivity, which allows users to explore and manipulate data in real-time, making it an ideal tool for data analysis.
This certificate validates foundational, high-level understanding of AWS Cloud, services, and terminology.
This online, asynchronous learning program with mandatory live sessions, will give flexibility to learn while you work and provide you access to support from the Skills for Hire Atlantic team throughout the duration of the 20 weeks through our live tutorial sessions, program slack channel, career kickstarter series and opportunity for industry connections.
You must be 18 years or older and have completed a high school GED or equivalent. You must also be a resident of Nova Scotia, Newfoundland and Labrador, New Brunswick or Prince Edward Island.
You Are… |
You Are Not… |
✅ 18 years of age or older | ❌ Under the age of 18 |
✅ Starting your Data Analytics journey | ❌ Already a Data Analytics professional |
✅ Ready to commit a minimum of 10 hours a week to your career change | ❌ Busy with a full schedule |
✅ A self-motivated learner | ❌ Expecting this course to guarantee a job |