- Hands-on Data Science Training Learn Project Based Agile Data Science Practices
You have learned all methods of data science and machine learning, but looking for hands-on experience on a real-world data science project. A true data science story which should have relevance to local marketplace, so that you can leverage it to land your first data science or machine learning job.
With that in mind, the hands-on data science training program has been designed in such a fashion that it will equip you with valuable experience of working in professional, collaborative and enterprise-like data science team settings. At the end of this program, you will be able to position yourself as one of following:
The training program has been divided into following three phases of data science process, and every phase follows data science agile methodology:
1. Data Exploration
The data exploration phase consists of 8 on-sites sessions. Each on-site session will be on Sunday and last 2 hours. On weekdays, the team will work remotely on assigned tasks. During this phase, you will apply and/or develop a number of skills which include but not limited to following:
In modeling phase, you will apply important machine learning and data science algorithms to build models around a real data set. The skills you will practice include but not limited to the following:
Deployment phase helps you to apply and develop importants data science required for deployment of a real machine learning model into production. The key skills you will employ in the deployment phase include:
Our instructors are highly qualified with PhD degrees in data scientists and machine learning. They have been working in Canadian industry for years and can help you to develop skill set required for data scientists job.
This program is for data science enthusiasts who have data science and basic programming skills (in Python) but looking for a project based experience, to leverage it to land the first data science job.
Although we do quick reviewo of Python for data science, but expect students to have basic understanding of key concepts of data science.
1. Understanding of basics of data science: data acquisition, data cleaning, regression and classification models, data visualization.
2. At least one year of industry experience
The program consists of three phases:
1) data exploration,
2) modeling and validatin
Each phase lasts for 8 weeks. You would have the option to exit at end of each phase.
We invite you to contact us so that we can discuss your data science and machine learning needs and assign a suitable data scientist to work with you.
- Related Services
- Contact Us
Please fill in contact form below and we will respond promptly. Please include as much detail about how we can help you as possible.
Unit 216, 1325 Eglinton Ave E
Mississauga, ON L4Z 3K6