Events for March 5, 2024 › Webinar › – Digital Nova Scotia – Leading Digital Industry
Recurring

FREE TRAINING: Website Design

Online

The Halifax Chamber of Commerce is working hard to provide our members with resources, information and value. We are pleased to offer a round of FREE online training programs to help grow your business in collaboration with the Department of Labour, Skills, and Immigration. This program is offered to businesses, managers, and employees at zero cost as a benefit of your membership. TRAINING OVERVIEW: Website Design training is a 10 week program that will start on, Tuesday, January 23, 2024 and take place once per week every TUESDAY from 9:00 am - 1:00 pm. These training sessions are in high demand with our members. Please consider your schedule beforehand and only register if you are 100% committed to fully participating in this training. This is a 40 hour course and you will be required to participate in 80% of the sessions in order to receive the certificate Preference will be given to members. Future members interested in joining, please contact Jenn Kurmey, Membership Sales Manager: jenn@halifaxchamber.com There are only 12 spaces available for this session, if the session is full, please add yourself to the waitlist, you will be contacted only if a spot opens up. We are limiting this training to 1 employee representative per membership in order to allow more members the […]

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Data Analytics with Python and Pandas

The session will use jupyter notebooks and the participants will be asked to code along with me as we work with sample data and try to gain as much value from it as possible. During the sessions we will be learning the following: load data, validate and clean data, transform and manipulate data, visual data and how to make visualization easily shareable. Webinar Takeaways: How to load data How to clean and transform data How to visualize data Meet your presenter... Kirk MacDonald  Over 5 years of experience of working with data between RBC and Air Canada. I'm a data engineer with a master's in data science and an overall interest in anything data. Have in depth knowledge of PySpark, SQL, Python, and various data tools. SKilled at navigating through complex data scenarios and offering insights that go beyond the surface.