Data Science Classes Toronto

This data science program is designed to help individuals with a math background and some familiarity with Python programming bolster their skills and get up to speed and launch their data career. Through their blended learning model, students will be able to hone their data skills through fundamental preparatory work, in-class project work, and though the support of a devoted career coach. Students in this course will start their data science journeys by learning fundamental concepts around Python programming and leveraging programming tools like GitHub. As the course progresses, students will explore additional programming concepts like NumPy, utilizing Unix commands, using Pandas to clean and extract data, and web scraping tools. The course also covers statistical modeling and regressions, machine learning models, NLP, and a few other advanced topics and trends that are helpful to data scientists of all levels.

This data science program uses project-based learning to teach students data analysis, modeling, and programming in Python. Using Synapse, a data-driven Learning Management System, students will learn how to clean and analyze data, create visualizations, and use the fundamental components of programming to work with Python, Pandas, and NumPy. Students can take advantage of online and on-campus options.

In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's Numpy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake for students to refresh the material.

This data science course is a 10-week, part-time program for individuals with backgrounds in programming or a quantitative field. Utilizing a hands-on approach, students learn by doing to build vibrant skills that are essential in any field that leverages big data. The course curriculum centers around Python programming and data exploration, data modeling, and machine learning. Graduates of the Data Science course will be able to showcase their strong understanding of Python programming and applied statistics through their capstone projects, which are also a great springboard to a career in data science.

This online data science program is meant to get students ready for a career in data science. The program covers the key components for data science, including SQL, Python, statistics, and machine learning. Students will start coding in Python using Jupyter notebooks, learn the statistics behind machine learning, apply machine learning techniques, and work on data science projects in this data science course. Students will also receive career coaching and job support during the program for help finding a job in data science. The online program offers flexible scheduling options, including full-time over 5 months, part-time over 10 months, and self-paced for up to 15 months.

Data Science Flex is a 6-month part-time program that will prepare you to to be a data scientist. This program comes with a tuition back guarantee if you can't land a job within 6 months after your graduation. To be accepted into this program, you will have to complete 3 weeks of prepwork and pass an assessment test before you start. Once you're accepted, you'll learn how to clean data using Python, query data using SQL, learn how to train and evaluate supervised and unsupervised machine learning models, and choose a track to specialize. You can deepdive in natural language processing, big data and spark, and deep learning with TensorFlow and Keras.

This data science bootcamp offers the ability to learn online with a 16-week full-time schedule or a 24-week part-time schedule. Students will learn how to use tools such as Python, R, Hadoop, and AWS to facilitate data visualization and analysis, machine and deep learning, and building statistical models. This program culminates in a professional capstone experience.

If you want to become a data scientist, you should enroll in this intensive twelve-week bootcamp. Participants learn how to extract data from multiple sources to empower decision-makers. Specific course topics include Python, GitHub, and other data foundations, matplotlib, Seaborn, and other data visualization tools, Flask, Docker, and other data engineering platforms, data wrangling with JSON, SQL, and XML, machine learning models, and deep learning techniques.

Beginners welcome in this introduction to data analytics course, learning subjects such as organizing and analyzing data with Google Sheets as well as making charts and visualizations. Students also learn how to write database queries with SQL, explore Tableau, and gain an introduction to Python for data analysis.

This course in data analytics serves as an introduction to data analysis. Professionals who take this course will obtain essential data analysis skills, including the use of Tableau for visualizations. This program offers online and on-campus versions, with instruction by experienced data analysts. Graduates are equipped to solve real-world data problems.