Dr. Gurinderjeet Kaur
Data Analysis & Power BI training that’s hands-on & engaging
Data Science tutor - Dr. Gurinderjeet Kaur
Doctorate degree
/ 30 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 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
International Baccalaureate (IB)
Provincial-specific curriculum (CA)
Business intelligence
Data visualization
Job readiness
Statistical analysis
Common Core State Standards - CCSS (USA)
Advanced Placement (AP) Program (USA)
A-Levels (UK)
Australian Curriculum (AU)
Debugging
GCSE (UK)
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Data Science concept taught by Dr. Gurinderjeet
Dr. Gurinderjeet Kaur guided Dylan through a lesson focused on using shorthand notations in coding to simplify mathematical expressions. Dylan gained practical experience by working through several problems, with Dr. Kaur offering immediate feedback and corrections. To reinforce his understanding, Dr. Kaur provided Dylan with a script containing both long-form and shorthand notations to study and compare as homework.
Assignment Operators
Variable Update Principle
Shorthand Assignment Operators
In a recent C++ programming lesson, Dr. Kaur introduced Dylan to multiple and combined assignment operators. Dylan actively practiced these concepts by writing code to assign the same value to several variables and efficiently modify existing ones using combined operators. To solidify his understanding, Dylan received an assignment to complete a program that applies combined assignment operators.
Multiple Assignment
Declaration vs. Initialization
Combined Assignment Operators
During a C++ programming lesson, Dr. Kaur guided Dylan through data types, type conversion (casting), and the concepts of overflow and underflow. Dylan gained practical experience by declaring variables, performing calculations with various data types, and observing the consequences of exceeding data type limits. The lesson wrapped up with Dylan tackling overflow and underflow problems using short int and float variables.
Data Type Declaration
Implicit Type Casting
Explicit Type Casting (Static_cast)
Integer Overflow
Floating-Point Underflow
Dr. Gurinderjeet Kaur worked with Dylan on type casting in C++, covering both implicit and explicit conversions. During their lesson, Dylan gained practical experience by evaluating expressions with different data types and effectively using `static_cast`. For homework, Dr. Kaur assigned Dylan a new problem statement that will require him to apply user input, calculations, and the type conversions they discussed.
Explicit Type Conversion (static_cast)
Implicit Type Conversion
Operand Conversion for Division
Integer Division
Dr. Gurinderjeet Kaur provided Dylan with a C++ lesson focused on data types, specifically delving into integer overflow/underflow and type conversion using `static_cast`. Dylan gained practical experience by working through examples related to these concepts, including problems involving `short`, `float`, and `double` data types. To reinforce his understanding of these C++ programming principles, Dr. Kaur recommended Dylan attempt the unsolved examples in their textbook.
Static Cast
Data Type Ranges
Signed vs. Unsigned Data Types
Integer Overflow/Underflow
During a C++ programming lesson, Dr. Kaur guided Dylan through practical exercises. Dylan focused on writing programs to calculate the area of a circle, the average of test scores, and the volume of a cylinder. This involved applying concepts like user input, variable declaration, and mathematical formulas. Dr. Kaur assigned Dylan an unsolved problem concerning the volume of a cylinder for continued practice.
Order of Operations (Brackets)
Newline Characters (endl vs. \n)
double Data Type
const Keyword in C++
Your data science tutor also teaches
Data Analysis
Machine Learning
Power BI
SPSS
Tableau
Microsoft Excel
Learner types for data science class
All Levels
School
College
Home schooled
Adult / Professional
Teaching tools used by data science tutor
Quizzes
Practice worksheets
Digital whiteboard
Presentations
Assessments
Interactive data science classes
Open Q&A
Parent feedback
Record lessons
Chat for quick help
Note taking
Free lesson slots
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