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!

4.4(88)

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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

Enroll after the free trial

Each lesson is 55 min

50 lessons


20% off

/ lesson

30 lessons


15% off

/ lesson

20 lessons


10% off

/ lesson

10 lessons


5% off

/ lesson

5 lessons


-

/ lesson

1 lessons


-

/ lesson

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

Learner types for data science class

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Data Science for adults

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Data Science for kids

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Data Science for intermediate

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Data Science for beginners

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.

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 Rithika

Student learned 4 days 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 8 days 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.

Conditional Probability

Two-Way Tables and Data Analysis

Addition Rule in Probability

Probability Basics

Independent vs. Dependent Events

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Student learned 16 days 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.

Expanded Form

Place Value Identification

Rounding to the Nearest 100

Recognizing Value of Multi-Digit Numbers

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Student learned 21 days 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.

Rounding to the Nearest 100

Rounding to the Nearest 1000

Rounding to the Nearest 10

Place Value and its Role in Rounding

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Student learned 22 days ago

The student practiced graphing linear equations by finding x and y intercepts and using a table of values. They also worked on solving systems of linear equations using the substitution method, which involved substituting an expression for one variable into another equation.

Graphing Linear Equations: Intercepts and Table Method

Solving Systems of Linear Equations by Substitution

Understanding the Equation of a Line (y = mx + c)

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Student learned 24 days ago

The student practiced identifying place values and rounding numbers to the nearest ten and hundred. They also worked on converting numbers between standard and expanded form. The session included a brief introduction to French greetings and a plan to learn Spanish phrases in the future.

Place Value

Expanded Form to Standard Form

Rounding to the Nearest Ten

Standard Form to Expanded Form

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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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Chat for quick help

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Pets are welcomed

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Note taking

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Mobile joining

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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.