Dr. Gurinderjeet Kaur

Data Analysis & Power BI training that’s hands-on & engaging

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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

Dr. Gurinderjeet graduated from Thapar Institute of Engineering and Technology India
Dr. Gurinderjeet graduated from Thapar Institute of Engineering and Technology India

Data Science tutor skills

Common Core State Standards - CCSS (USA) icon

Common Core State Standards - CCSS (USA)

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Debugging

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Assignment help

Australian Curriculum (AU) icon

Australian Curriculum (AU)

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Machine learning

New Zealand Curriculum - NZC (NZ) icon

New Zealand Curriculum - NZC (NZ)

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Business intelligence

Paired coding icon

Paired coding

International Baccalaureate (IB) icon

International Baccalaureate (IB)

Data engineering icon

Data engineering

Project help icon

Project help

Statistical analysis icon

Statistical analysis

Learner types for data science class

Adult / Professional icon

Adult / Professional

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All Levels

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School

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College

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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

Data Analysis

Machine Learning

Machine Learning

Power BI

Power BI

SPSS

SPSS

Tableau

Tableau

Microsoft Excel

Microsoft Excel

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15 days Refund

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Data Science concepts taught by Dr. Gurinderjeet

Student learned 1 day ago

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

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Student learned 3 days ago

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

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Student learned 5 days ago

The student and tutor reviewed conditional statements, including the use of 'if', 'elif', and 'else', and the 'or' logical operator. They practiced debugging code related to conditional logic and print statements, and discussed scheduling the next session for Thursday.

Conditional Statements: If

Elif

Else

Logical Operators: OR

Comparison Operators in Conditionals

Purpose of `print()` vs. Conditions

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Student learned 5 days ago

The student completed a practice problem set with tutor guidance, reviewing answers and identifying areas for improvement in programming concepts. The next session will involve a practical, screen-sharing coding test to assess the student's coding abilities.

Data Types: int vs. float

Array Indexing and Access

Boolean Logic and Conditions

Looping Constructs: For Loops

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Student learned 5 days ago

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)

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Student learned 5 days ago

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

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Teaching tools used by data science tutor

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Quizzes

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Practice worksheets

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Assessments

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Presentations

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Digital whiteboard

Interactive data science classes

Open Q&A icon

Open Q&A

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Pets are welcomed

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Mobile joining

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Note taking

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Parent feedback

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Data Science tutors on Wiingy are vetted for quality

Every tutor is interviewed and selected for subject expertise and teaching skill.