Dr. Gurinderjeet Kaur

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

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Dr. Gurinderjeet Kaur

Doctorate degree

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Each lesson is 55 min

50 lessons


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30 lessons


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20 lessons


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10 lessons


5% off

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5 lessons


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Rated 5 out of 5 stars.
★★★★★
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86 ratings
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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

Advanced Placement (AP) Program (USA) icon

Advanced Placement (AP) Program (USA)

Debugging icon

Debugging

New Zealand Curriculum - NZC (NZ) icon

New Zealand Curriculum - NZC (NZ)

Business intelligence icon

Business intelligence

Data engineering icon

Data engineering

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Upskilling

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Statistical analysis

Job readiness icon

Job readiness

Machine learning icon

Machine learning

Next Generation Science Standards - NGSS (USA) icon

Next Generation Science Standards - NGSS (USA)

Predictive modeling icon

Predictive modeling

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Assignment help

Learner types for data science class

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Home schooled

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College

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School

Adult / Professional icon

Adult / Professional

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All Levels

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

Flexible Scheduling

Allows 1h early scheduling

Allows 1h early rescheduling

Can wait for 20 mins after joining

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10 day Refund

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Data Science concepts taught by Dr. Gurinderjeet

Student learned 1 day ago

The student and tutor worked on debugging a MATLAB script for numerical equation solving, specifically addressing issues with the `f0` function and handling invalid input ranges. They implemented strategies for element-wise division and introduced error handling for non-positive values of `x3`, and developed a multi-interval search strategy for `x4`. The next session will focus on curve fitting and understanding lecture slides.

Element-wise Operations in MATLAB

Handling Numerical Instability with Safe Intervals

Iterative Refinement and Interval Testing for Root Finding

Robust Root Finding with Error Handling

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Student learned 1 day ago

The student and tutor worked on practice problems for an upcoming third-quarter exam, which is a written-based test. They focused on solving coding problems manually without a compiler, emphasizing accuracy and the avoidance of common errors. The tutor planned to share detailed solutions and assign more practice problems for the next session.

Exam Strategy: Avoiding Rushing and Silly Mistakes

Data Structures: Arrays and Their Manipulation

Understanding Loops and Conditional Statements

Code Execution Without a Compiler: Manual Simulation

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Student learned 1 day ago

The student and tutor reviewed Python programming exercises related to conditional statements and then transitioned to learning about dictionaries. They discussed dictionary creation, accessing elements, and iterating through keys and values, with the student practicing these concepts and preparing to work through provided files and the textbook.

Case-Insensitive Username Checking

Dictionary Comprehensions

Iterating Through Dictionaries

Python Dictionaries: Key-Value Pairs

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Student learned 2 days ago

The Tutor guided the Student through understanding and applying MATLAB's `fsolve` function for solving systems of nonlinear equations, particularly in the context of chemical reaction engineering. They also introduced the "tearing method" for complex systems and debugged the Student's code, identifying an error in the Jacobian matrix calculation and suggesting a review of the equations.

Reactor Modeling and Mass Balance

Nonlinear Equation Solvers in MATLAB

Tearing Method for Complex Systems

fsolve Function in MATLAB

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Student learned 3 days ago

The Tutor and Student worked on implementing the Secant method in MATLAB to solve a system of non-linear equations. The discussion involved understanding the theoretical underpinnings of the method, translating lecture slide concepts into code, and debugging specific implementation details related to Jacobian approximation. They planned to continue working on the assignment and explore other methods in future sessions.

Jacobian Matrix Approximation via Finite Differences

Secant Method for Multiple Variables

Iterative Refinement of Solutions

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Student learned 4 days ago

The tutor and student reviewed concepts related to multiple linear regression, specifically Extra Sum of Squares (ESS), marginal effects, and hypothesis testing (Global F-test, marginal tests). They discussed the decomposition of sums of squares and the F-statistic calculation, with plans for the student to review the notes.

Marginal Effect and Marginal F-Test

Global F-Test

Sum of Squares Decomposition

Extra Sum of Squares (ESS)

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Teaching tools used by data science tutor

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Practice worksheets

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Digital whiteboard

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Assessments

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Quizzes

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Presentations

Interactive data science classes

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Mobile joining

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Record lessons

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Parent feedback

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Chat for quick help

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Pets are welcomed

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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.