Top-rated Data Science tutor in Canada
Data science turns raw numbers into real insight, and an online data science tutor shows you how. Lessons cover Python, pandas, statistics, and the basics of machine learning, using real datasets and building on school stats like Ontario's MDM4U. It is one of Canada's most in-demand skills, useful for students, analysts, and career changers. You learn hands-on over video, building projects you can add to a portfolio.
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Summary
Podcast
Data science taught through tutor-led classes
Learners attend in Toronto, Edmonton, Calgary
Nikita taught 2 days ago
The student and tutor focused on implementing and troubleshooting Excel formulas to automate deal counts and total commission calculations across multiple tables. They practiced applying dynamic formulas, correcting syntax errors, and understanding the difference between automated and manual data entry for financial reporting.
Automating Table Calculations
Dynamic Formula Referencing
Handling Column Name Inconsistencies in Formulas
Manual vs. Automated Data Entry
Nikita taught 3 days ago
The student and tutor worked through issues with Excel spreadsheet automation related to commission tracking. They identified and discussed solutions for manual data entry and formula range adjustments to ensure accurate, automated updates for commission figures and associated charts. The next session was scheduled for the following evening.
Formula Automation and Range Expansion
Manual Data Entry vs. Automated Updates
Data Visualization Accuracy and Source Data
Handling Non-Standard Deals in Calculations
vasundhra taught 4 days ago
The Student and Tutor focused on learning SQL database table creation, including defining columns, data types (INT, VARCHAR), primary keys, and NOT NULL constraints. They practiced creating a new table and later discussed and implemented foreign keys to establish relationships between tables. The session concluded with an introduction to ER diagrams and a plan for the Student to work on a new project based on an ER diagram.
Database Schema vs. Table
Creating Tables in SQL
Primary Keys and Data Integrity
SQL Data Types: INT vs. VARCHAR
Foreign Keys for Table Relationships
Nikita taught 10 days ago
The Student and Tutor worked on refining Excel spreadsheets, focusing on chart data manipulation, formatting, and optimizing print layout. They practiced adjusting chart elements, correcting formulas, managing empty rows, and implementing page breaks for better print preview presentation. The next session is scheduled for Sunday evening to continue these Excel skills.
Chart Data Manipulation
Chart Formatting and Customization
Print Preview and Page Layout
Spreadsheet Formula Correction
vasundhra taught 12 days ago
The student and tutor successfully installed MySQL Server and Workbench, then delved into the distinction between scripting and coding, and the reliability of human-written code versus AI. They discussed career path alignment, focusing on the student's interest in data management and database principles, and planned to continue learning SQL with targeted exercises.
SQL Server Installation and Configuration
SQL Server vs. Coding vs. Scripting
MySQL Workbench: Navigating the Interface
SQL SELECT Statement
Database Schemas and Tables
vasundhra taught 13 days ago
The student and tutor focused on introducing SQL as a database scripting language, differentiating it from programming languages like Python. They installed MySQL Workbench for practice and discussed server infrastructure, cloud computing, and the importance of data integrity and security in database management, with plans to build a project for the student's profile.
SQL vs. Python
Front-end vs. Back-end Applications
SQL Servers and Cloud Computing
MySQL and MySQL Workbench
