Dr. Gurinderjeet Kaur
Data Analysis & Power BI training that’s hands-on & engaging
Loading...



Show all photos
Dr. Gurinderjeet Kaur
Doctorate degree
/ 55 min
About your data science tutor
Hello! I’m Dr. Gurinderjeet Kaur, a dedicated Data Science tutor with a doctorate in Computer Science Engineering. My teaching philosophy centers on the belief that complex concepts can be made simple and relatable. I strive to engage my students through interactive sessions, real-world examples, and hands-on practice, ensuring that learning is not only effective but also enjoyable. I cover a wide range of subjects essential for today’s data-driven world, including Data Analysis, Databases, Machine Learning, Power BI, Python, SPSS, Statistics, Tableau, and Microsoft Excel. Each of these areas offers unique insights and skills that are vital for success in various fields, whether you are just starting out or looking to enhance your existing knowledge. My approach is tailored to meet the individual needs of my students, whether they are in school, college, or are working professionals seeking to upskill. I believe that education should be a collaborative journey, and I am committed to providing the support and guidance needed to help each student reach their goals. Let’s embark on this learning journey together and unlock your potential in the exciting world of Data Science!
Meet Dr. Gurinderjeet
Dr. Gurinderjeet graduated from Thapar Institute of Engineering and Technology India


Data Science tutor skills
Common Core State Standards - CCSS (USA)
Debugging
Assignment help
Australian Curriculum (AU)
Machine learning
New Zealand Curriculum - NZC (NZ)
Business intelligence
Paired coding
International Baccalaureate (IB)
Data engineering
Project help
Statistical analysis
Learner types for data science class
Adult / Professional
All Levels
School
College
Home schooled
Data sciece class overview
As a tutor specializing in Data Analysis, Machine Learning, and Statistics, I provide structured and systematic lessons tailored to students at all levels, including school, college, and adult or professional learners. My teaching style combines lecture-based instruction with interactive elements and hands-on practice, ensuring that students not only grasp theoretical concepts but also develop practical problem-solving skills. I emphasize the use of real-world datasets and visualization tools, which makes the learning process more engaging and insightful. By incorporating these elements, I aim to bridge the gap between theoretical knowledge and practical application, allowing students to see the relevance of what they are learning in everyday contexts. Additionally, I encourage students to adopt innovative approaches and delve deeper into the subject matter through practical projects. This not only solidifies their understanding but also fosters a sense of curiosity and exploration. My goal is to ensure a comprehensive understanding of the topics covered, empowering students to confidently apply their knowledge in real-world scenarios and pursue further learning opportunities in the dynamic fields of Data Analysis and Machine Learning.
Your data science tutor also teaches
Data Analysis
Machine Learning
Power BI
SPSS
Tableau
Microsoft Excel

15 days Refund
Free Tutor Swap

Data Science concepts taught by Dr. Gurinderjeet
The student and tutor worked on a MATLAB programming problem to calculate the Reynolds number. They focused on creating a function for interpolation and viscosity calculations, implementing nested loops for iterating through parameters, and debugging the code to achieve the correct output and plots. The tutor provided example files to assist the student's understanding.
Looping Structures for Parametric Studies
Data Storage and Plotting
MATLAB Function and Script Structure
Data Interpolation in MATLAB
Reynolds Number Calculation
The session focused on applying linear transformation and multilinear regression to solve a fluid dynamics problem. The student practiced linearizing an equation using logarithms and constructing matrices for multiple linear regression in MATLAB. The next session will cover the remaining question.
Linear Transformation using Logarithms
Multilinear Regression
Design Matrix (X) and Intercept Term
Conditional Statements: If
Elif
Else
Logical Operators: OR
Comparison Operators in Conditionals
Purpose of `print()` vs. Conditions
Data Types: int vs. float
Array Indexing and Access
Boolean Logic and Conditions
Looping Constructs: For Loops
The tutor and student reviewed programming fundamentals, specifically functions and the lead-up to object-oriented programming concepts like classes. The student is working through exercises and will continue with the next session focusing on the 'classes' chapter to prepare for object-oriented programming.
Classes in Programming
Transition to Object-Oriented Programming (OOP)
Core Programming Concepts (Part 1)
The class focused on setting up the Python development environment using Visual Studio Code and Jupyter Notebooks. The student practiced creating and running Python files, learned about variables, data types (strings), and string manipulation functions. Homework involves completing practice exercises from the textbook on these topics.
Working with Strings in Python
Introduction to Jupyter Notebooks
Python Variables and Data Types
Introduction to VS Code for Python
Setting Up Your Python Environment
Teaching tools used by data science tutor
Quizzes
Practice worksheets
Assessments
Presentations
Digital whiteboard
Interactive data science classes
Open Q&A
Pets are welcomed
Mobile joining
Note taking
Parent feedback
Find tutors in similar subjects

Data Science tutors on Wiingy are vetted for quality
Every tutor is interviewed and selected for subject expertise and teaching skill.
