logo

Data Science Tutor for Excel & Data Analysis Techniques - Tutor University

4.8(32)

Free trial lesson

tutor-image
tutor-image

Private tutor - Lata Kaushik

Masters degree

$26

/ hour

icon

Expert in debugging code

Breaks down coding issues into manageable steps.

icon

Debugging and problem-solving focus

85% of students improve debugging skills.

icon

Interactive debugging sessions

Students debug and improve their own code in real-time.

About your data science tutor

I’m Lata Kaushik, and I’m here to help you become confident and skilled in MS Excel. With a background in engineering and hands-on experience in data analysis, business research, and project management, I’ve used Excel extensively in academic and industry settings. From mastering basic formulas and functions to building dashboards, automating tasks with Excel tools, and analyzing large datasets using pivot tables and charts, I can guide you at your own pace. Whether you're a student, a working professional, or someone looking to improve your productivity, my sessions are tailored to your goals. My sessions are interactive, goal-oriented, and customized to your needs. Let’s make Excel easy and impactful for you! I focus on practical learning with real-world examples to make Excel simple, useful, and even fun. Let’s get started!

Data Science tutor specialities

Business intelligence icon

Business intelligence

Statistical analysis icon

Statistical analysis

Assignment help icon

Assignment help

Data visualization icon

Data visualization

Data sciece class overview

My MS Excel teaching methodology is centered around practical, hands-on learning tailored to each student’s skill level and goals. I begin by assessing your current knowledge to customize lessons that build a strong foundation before progressing to advanced topics. Using real-world examples and interactive exercises, I help you master essential Excel skills such as formulas, functions, pivot tables, charts, and data analysis tools. I focus on breaking down complex features into simple, step-by-step instructions, and encouraging questions to ensure thorough understanding. My approach emphasizes not just learning Excel tools but applying them effectively to boost productivity and solve real problems in academics or the workplace. Ultimately, I aim to make Excel accessible, engaging, and empowering for every learner.

Student types for data science class

Data Science for Beginners icon

Data Science for Beginners

Data Science for School students icon

Data Science for School students

Data Science for Adults icon

Data Science for Adults

Data Science for Kids icon

Data Science for Kids

Data Science for College students icon

Data Science for College students

Interactive data science classes

Record lessons icon

Record lessons

Pets are welcomed icon

Pets are welcomed

Parent feedback icon

Parent feedback

Open Q&A icon

Open Q&A

Chat for quick help icon

Chat for quick help

Teaching tools used by data science tutor

Jupyter Notebook image

Jupyter Notebook

Your data science tutor also teaches

Data Analysis

Data Analysis

Excel

Excel

Free lesson slots

1 / 1

keyLearning

Data Science concept taught by Lata

Gina learned 8 days ago

Lesson date:

Lata Kaushik assisted Gina (cardboard fish) with an Excel assignment, explaining formulas such as LEFT, RIGHT, PROPER, IF, ISBLANK, XLOOKUP, and VLOOKUP for text manipulation and conditional calculations. They addressed handling missing data, ensuring exact matches in lookups, and using error handling. Lata will send a request to transfer one of the booked lessons to an assignment.

XLOOKUP vs. VLOOKUP

String Functions (LEFT

RIGHT

PROPER)

Show more

Linda learned 11 days ago

Lesson date:

Linda and Lata collaborated to analyze product sales data in Excel, focusing on quarterly comparisons between 2023, 2024, and 2025. They worked on aggregating monthly data into quarterly summaries, creating charts to visualize sales trends, and calculating year-on-year growth percentages. Lata will complete the analysis for all quarters and add data labels showing percentage changes, to be reviewed in the next session.

Quarterly Data Compilation

Year-on-Year Comparison Charts

Dynamic Chart Updates

Combination Charts for Change Analysis

Show more
Report this listing