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.
Free Trial
15-days refund
Free tutor swap
No cancel fee
Summary
Podcast

Data science taught through tutor-led classes
Learners attend in Toronto, Edmonton, Calgary
Nikita taught 2 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 4 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 5 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
Nikita taught 23 days ago
The Student and Tutor worked extensively on an Excel spreadsheet, focusing on refining commission tracking and reporting. They addressed formatting issues, adjusted commission calculation logic for individual agents and the primary agent, and implemented new formulas in the summary table to accurately reflect total expected commissions.
Excel Currency Formatting & Format Painter
Understanding Excel Hyperlink Behavior
Dynamic Commission Tracking with Excel Formulas
Manual vs. Automated Commission Rate Input
Structuring Summary Tables for Comprehensive Financial Analysis
Nikita taught about 1 month ago
Student and Tutor worked through several Excel data management and formula correction tasks. They focused on understanding and applying correct pasting methods to avoid data errors, refreshing pivot tables to update data, and ensuring accurate calculation formulas for total and average commissions across various agent reports. The session ended with a plan to clarify the company's approach to setting overall financial goals.
Paste Special: Values
Refreshing Pivot Tables
Ensuring Data Accuracy with Formulas
Calculating and Interpreting Average Commission
Managing Company Goals: Manual vs. Formulaic Totals
Nikita taught about 1 month ago
Student and Tutor addressed a data discrepancy in 2023 commission totals in Excel by correcting a missing date for a negative value. They then prepared multi-year commission data by structuring it with "Year" columns and consolidating it, culminating in the creation of a Pivot Table and a clustered column chart for annual comparison. They planned to continue with more past years and explore printing options for charts.
Resolving Data Discrepancy in Commission Totals
Standardizing Data with a 'Year' Column
Consolidating Multi-Year Data for Analysis
Dynamic Monthly Total Calculation with SUMIF Refinement
Analyzing Trends with Pivot Tables and Clustered Column Charts
Troubleshooting Temporary Excel Display Issues







