Dr. Gurinderjeet Kaur
Data Analysis & Power BI training that’s hands-on & engaging
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Data Science tutor - Dr. Gurinderjeet Kaur
Doctorate degree
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 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.
Data Science tutor skills
New Zealand Curriculum - NZC (NZ)
Provincial-specific curriculum (CA)
GCSE (UK)
Next Generation Science Standards - NGSS (USA)
Project help
Job readiness
Paired coding
Machine learning
International Baccalaureate (IB)
Business intelligence
A-Levels (UK)
Debugging

Data Science concept taught by Dr. Gurinderjeet
The session covered creating a Python program to identify if at least three integers out of five are equal, focusing on logic implementation using conditional statements. The student worked through the problem, developing the conditional logic and debugging syntax errors. The tutor sent the working code and will schedule the next session after the student renews their lessons.
Nested Conditionals and Complex Logic
Conditional Statements (if
else)
Logical Operators (and
or)
Comparison Operators (==)
Inputting Data in Python
Indentation in Python
The session centered on the student's capstone project, specifically focusing on data analysis for improving shipping performance and on-time delivery. The Tutor guided the student in selecting relevant charts from their EDA to create a focused Tableau presentation and to identify underlying reasons for shipping delays. The next steps involve refining the selected charts and preparing the final presentation.
Identifying Key Performance Indicators (KPIs) and Reasons for Delay
Selecting Meaningful Charts for Presentation
The Evolving Role of the Data Analyst
Full-Stack Data Analyst Skills
Building a Strong Professional Profile
Exploratory Data Analysis (EDA) Focus
Dr. Gurinderjeet Kaur recently guided Jake through a C++ programming challenge. The task involved developing a program to convert US dollars to Canadian dollars using user inputs and presenting the results in a structured table with loops. Jake encountered difficulties with input validation, setting up loop conditions, and formatting the output, for which he received targeted assistance on debugging and overall code structure. To further enhance his C++ skills, Dr. Kaur assigned Jake two practice problems: one focused on calculating compound interest and another on printing a multiplication table, both to be completed before their next lesson.
Debugging Loops
Data Type Truncation
Output Formatting (C++)
Code Compilation
In a recent lesson, Dr. Gurinderjeet Kaur collaborated with Jacob to refine his C++ code for generating 2D tables. The core of their discussion revolved around achieving efficient formatting and robust user input validation. Jacob actively practiced manipulating table outputs and experimented with `setw` to ensure precise column alignment. For continued practice in C++ development, Dr. Kaur tasked Jacob with building a currency conversion table.
IO Manip for Formatting
2D Table Generation
Input Validation with While Loops
Code Efficiency & AI Comparison
Dr. Kaur assisted Lesa with a Python assignment focused on sorting three integers using conditional statements. Lesa practiced implementing 'if-elif-else' logic to determine the ascending order of user-inputted numbers, carefully avoiding disallowed functions like sorting or loops. They plan to meet again on Tuesday for another lesson, where they will tackle a similar assignment involving five integers.
If-Elif-Else Structure
Boolean Logic (AND operator)
Input & Type Casting
F-strings (Formatted String Literals)
Dr. Kaur guided Noel through an exploratory data analysis lesson, utilizing Python to generate insightful visualizations from a dataset. Noel concentrated on enhancing different plot types, such as distribution, bar, and heat map charts, to dissect supplier reliability, disruption categories, and temporal trends. For their upcoming lesson, Noel is tasked with finalizing the data analysis, developing visualizations in Tableau, and preparing a presentation.
Correlation Heat Map
Supplier Ranking by Delay
Box Plot
dt.period('M') in Pandas
Your data science tutor also teaches
Data Analysis
Machine Learning
Power BI
SPSS
Tableau
Microsoft Excel
Learner types for data science class
College
Home schooled
All Levels
Adult / Professional
School
Teaching tools used by data science tutor
Presentations
Quizzes
Practice worksheets
Digital whiteboard
Assessments
Interactive data science classes
Open Q&A
Record lessons
Parent feedback
Note taking
Mobile joining
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