Rithika Rushendra

Excel doesn’t have to be hard! I’ll help you master it one skill at a time through hands-on learning and open discussion!

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Profile photo of Rithika, Data Science tutor at Wiingy
Profile photo of Rithika, Data Science tutor at Wiingy
Data Science learning materials by Rithika

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Rithika Rushendra

Bachelors degree

/ 55 min

About your data science tutor

Hi, I’m Rithika Rushendra! I’m a 4th-year Computer Science student at Ontario Tech University, specializing in Data Science. Over the past decade, I’ve had the privilege of teaching a wide range of subjects including Mathematics, English, Coding, and Microsoft Office tools, helping learners of all ages develop their skills and confidence. My expertise lies particularly in Math, Coding, and Excel, which I actively use in my academic and professional projects. I’ve also participated in numerous workshops, certifications, and training sessions to continuously refine my teaching methods and stay current with evolving technology and educational practices. In my lessons, I emphasize hands-on learning and experimentation, encouraging students to explore through trial and error rather than rote memorization. I believe that understanding comes from doing, so my sessions often include interactive exercises, real-world problem-solving, and guided practice to strengthen conceptual understanding. I design personalized study plans that align with each student’s goals and learning style. Whether you’re looking to improve grades, master a new skill, or build confidence in technical subjects, I’m committed to helping you reach your goals with patience, structure, and encouragement.

Data Science tutor skills

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Assignment help

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Zero Risk Guaranteed

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1-yr validity

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Learner types for data science class

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Data Science for beginners

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Data Science for adults

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Data Science for kids

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Data Science for intermediate

Data sciece class overview

My tutoring approach is rooted in fostering deep conceptual understanding through hands-on projects, interactive exercises, and real-world applications. I focus on developing not just technical proficiency but also problem-solving confidence, especially in Excel, Data Science, and data visualization techniques. Each session is personalized to the learner’s level and goals. I integrate a blend of online and offline learning tools such as Google Sheets, Excel, Slack, and Zoom, ensuring every lesson is dynamic, collaborative, and easy to follow. This approach helps students not only grasp abstract concepts but also apply them effectively in academic, personal, or professional contexts. By combining individualized attention, clear explanations, and consistent feedback, I’ve successfully guided over 50 students to strengthen their analytical thinking and master complex data concepts with confidence. My goal is to make learning both engaging and empowering, so every student walks away with lasting skills and curiosity to keep exploring.

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Improved problem-solving skills

92% of students report faster problem-solving after lessons.

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Debugging and problem-solving focus

85% of students improve debugging skills.

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Highly rated for problem-solving approach

95% of students improve problem-solving skills and speed.

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Data Science concepts taught by Rithika

Student learned 2 days ago

The student practiced solving word problems involving unit rates through decimal long division. The tutor provided step-by-step guidance on setting up the division and executing the calculation by hand, reinforcing the process with two examples. The session concluded with the student expressing increased confidence in remembering the steps.

Unit Rate Calculation

Decimal Division by Hand

Problem Setup for Rates and Budgets

Division with Decimals in Both Numbers (Miles Per Gallon)

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Student learned 28 days ago

The Student and Tutor worked on probability problems, focusing on conditional probability and the union of events. The Student reviewed previously completed test questions, identifying and correcting errors in calculations and logic. The Tutor provided explanations and guidance on applying the correct formulas and understanding the underlying concepts.

Applying Probability to Real-World Scenarios

Conditional Probability

Probability: Union of Events

Independent vs. Dependent Events

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Student learned about 2 months ago

The student and tutor reviewed various probability and statistics concepts, including calculating probabilities from histograms, defining sample spaces, and identifying mutually exclusive events. They practiced problems involving simulations, dice rolls, and selections from groups, and discussed conditional probability and independent events.

Probability of Independent Events

Mutually Exclusive Events

Conditional Probability

Sample Space

Probability of 'Not' Events

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Student learned about 2 months ago

The class reviewed probability and statistics concepts, including calculating probabilities for various scenarios, understanding independent and dependent events, and applying the addition rule. The student practiced problems involving spinners, card decks, and data tables, with a focus on conditional probability and checking for independence.

Probability Basics

Independent vs. Dependent Events

Addition Rule in Probability

Conditional Probability

Two-Way Tables and Data Analysis

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Student learned about 2 months ago

The student practiced place value by writing numbers in expanded form up to the millions place. The student then practiced rounding numbers to the nearest hundred. The tutor assigned practice to reinforce these concepts.

Rounding to the Nearest 100

Recognizing Value of Multi-Digit Numbers

Place Value Identification

Expanded Form

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Student learned 2 months ago

The Tutor and Student worked extensively on rounding numbers to the nearest 10, 100, and 1000. The Student practiced these skills through various exercises and demonstrated significant improvement in their understanding and application of rounding rules. The Tutor planned to follow up with the Student's father to discuss further practice areas.

Place Value and its Role in Rounding

Rounding to the Nearest 1000

Rounding to the Nearest 100

Rounding to the Nearest 10

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Teaching tools used by data science tutor

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Google Colab

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Jupyter Notebook

Interactive data science classes

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Mobile joining

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Note taking

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Chat for quick help

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Parent feedback

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Weekend lessons

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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.