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!

4.8(32)

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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

Data Science for intermediate icon

Data Science for intermediate

Data Science for beginners icon

Data Science for beginners

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Data Science for kids

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 about 11 hours 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

Rounding to the Nearest Ten

Standard Form to Expanded Form

Expanded Form to Standard Form

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Student learned 1 day ago

The Student and Tutor worked through multiple-choice questions covering regression analysis and statistical interpretation. They focused on applying formulas to calculate predicted values and understanding the impact of data transformations on regression lines. The Tutor assigned homework to practice for the next session, where they will review the new unit with the correct formulas.

Least Squares Regression Line

Unit Conversion in Regression Analysis

Impact of Outliers on Regression Line

Logarithmic Transformations in Regression

Observational Studies and Regression Models

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Student learned 7 days ago

The Tutor and Student worked through problems involving linear equations and their application in real-world scenarios, specifically modeling car prices. They practiced deriving algebraic expressions, calculating intercepts for graphing, and determining lines of best fit from data points. The session concluded with comparing different linear models and discussing their limitations.

Formulating Linear Expressions

Graphing Linear Equations

Line of Best Fit

Interpreting Linear Models

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Student learned 12 days ago

The Tutor and Student worked on double-digit subtraction problems. The Student practiced applying borrowing techniques to solve various subtraction equations, showing marked improvement throughout the session. The plan is to continue focusing on subtraction for mastery before moving to multiplication next week.

Double-Digit Subtraction

Understanding Place Value in Subtraction

Checking Your Work in Subtraction

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Student learned 12 days ago

The Student and Tutor worked through problems related to calculating standard deviation manually from dot plots and data sets. They practiced calculating mean, median, IQR, and standard deviation, and discussed how these measures change when data values are added or removed from a set. The session concluded with a brief review of Mean Absolute Deviation.

Mean

Median

Standard Deviation

Interquartile Range (IQR)

Impact of Data Changes on Mean and Standard Deviation

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Student learned 18 days ago

The Student and Tutor worked through a review packet for an upcoming test, covering various statistical concepts. They practiced identifying variable types, describing data distributions from graphs, and applying rules like the empirical rule for standard deviation. The Tutor also guided the Student through calculating z-scores and determining percentiles.

Interpreting Histograms and Box Plots

Normal Distribution and Standard Deviation

Discrete vs. Continuous Variables

Quantitative vs. Categorical Variables

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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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Weekend lessons

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Pets are welcomed

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Note taking

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Mobile joining

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Chat for quick help

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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.