Data Science & Machine Learning Training in Mississauga

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:

Data Science Generalist
Data Science Manager
Data Science Business Analyst

Machine Learning Engineer
Data Science Analyst
Data Science Porfolio Manager

Practical Data Science Training on A Value Driven Project

Become a hands-on data scientist & unlock new career opportunities

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:

Data Science Ideation
Data Acquisition
Data Cleaning
Data Transformation

Problem Solving
Data Integration
Visualization & Reporting
Agile Data Science Practices

You will get a certificate on successful completion of data exploration phase. On completion of this phase, you will be eligible to enroll into second phase of training i.e. modeling.

2. Modeling

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:

Feature Engineering
Model Validation
AI Ethics

Model Building
Bias and Overfitting
Error Analysis

You will be awarded a certificate on successful completion of modeling phase. Also, you will be eligible to enroll into next data science training phase i.e. deployment.

3. Deployment

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:

Cloud computing
Flask
Dockers

Job Scheduling
Data Engineering
REST API Development

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.