An Introduction to Data Science for Managers
This data science training video gives managers a foundation for leading data-driven projects.
Related course: TP2805
Proven Results in Data Science Courses in Toronto
For over 20 years, we have trained developers from hundreds of companies – including many Fortune 500 companies. We provide the best data science courses for your needs.
Here are a few of the clients we have delivered Data Science Courses to:
Here are some reviews from past students who completed our Data Science Courses in Toronto:
This was a great course. I loved the blend of Python Concepts Plus Just enough Data science to be productive
Instructor was very thorough, yet practical. He was a great communicator and explained everything in layman’s terms.
Great tutorials! I will go back to these
This course is excellent. It gave me an overview of data science and a good understanding. It put me in the right direction of data analysis in my work.
Should I Attend Data Science Courses in Toronto, Canada?
Thanks to high demand, careers in data science are considered some of the most lucrative positions in the world. In fact, Forbes and Glassdoor both rated data scientist as the best job in America in 2018. It comes as no surprise that the demand for data scientists has been surging in the job marketplace.
Web Age Data Science courses in Canada are taught at locations throughout the Toronto area and other Ontario venues, delivered in traditional classroom style format. Online Data Science Courses in Canada are also available in a synchronous instructor led format.
Our Data Science courses in Canada are extremely hands-on; only half of the content is lecture. Our data science courses include extensive, hands-on labs.
At Web Age, we also offer Hackathon Style Project training. One of the key aspects of measuring success of a training program is the ability of attendees to apply the knowledge gained in the classroom to real world scenarios. Attending a ‘Hackathon Style Project’ after a training program is a proven approach to successful learning.
Check out our Hackathon Style Project page for more information.
Data Science Courses in Canada!
Toronto Canada, also known as ‘Terronna’ by locals, is at the forefront of the Canadian working world. Not only does it act as a headquarters for all of the major banks in Canada, but it also houses well-developed film, biotechnology, finance, tourism, aerospace, software development, media and telecommunication sectors.
Forbes Magazine tracked the “World’s Most Economically Powerful Cities” and included Toronto in its top ten list. As one of the most populous cities in North America, Toronto offers many job opportunities to people moving to Canada, especially for those who have highly developed and unique skills sets. Toronto is quickly becoming one of the largest tech hubs in Canada, supporting the vision city officials have of Toronto as the next ‘Silicon Valley North’. Working in Toronto is a grea
Applied Data Science Using Python
In this webinar we will talk about how you can use Python in the realm of applied data science.
Related course: Applied Data Science with Python (WA2592)
Using R As A Tool In Data Science Projects
R has won itself a solid reputation in the data analysis realm. In this webinar we talk about some aspects of R and its libraries that make it an indispensable tool for data science projects.
Related course: R Programming from the Ground Up (WA2711)
Who should take Web Age Solutions’ Data Science courses in Canada?
The data science role requires the perfect mixture of experience, data science knowledge, and using the correct tools and technologies. It is a good career choice for both new and experienced professionals. Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue a career as a Data Scientist including:
- IT professionals
- Analytics Managers
- Business Analysts
- Banking and Finance professionals
- Marketing Managers
- Supply Chain Network Managers
- Those new to the data analytics domain
- Students in UG/ PG Analytics Programs