Aritra Sen
Expert Data Scientist with experience in teaching and helping students with Machine Learning, Deep Learning and Statistical Modeling




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Aritra Sen
Masters degree
/ 55 min
About your data science tutor
Hello, I'm Aritra Sen, a Data Science tutor with a Masters in Statistics. I have expertise in Machine Learning, Deep Learning and AI. I bring in my industry experience into my teaching. My teaching philosophy revolves around simplifying complex concepts, making them easier for students to understand. I believe in engaging students through interactive demonstrations, real-world examples, and hands-on practice. Whether you're a beginner or an advanced learner, I'm here to help you master Data Analysis, Databases, Machine Learning, Python, Statistics, Tableau, and Microsoft Excel. Let's explore the world of data together! I have over 4 years of teaching experience helping both students and professionals build a career in Data Science, Data Engineering, MLOpS and Insights. I also teach Generative AI and LLM model building and tuning.
Aritra graduated from International Institute for Population Sciences
Data Science tutor skills
Statistical analysis
Case Studies
Deep Learning
Predictive modeling
Business intelligence
Project help
Machine learning
AI modules
Summary
Podcast
Quiz
Learnings
Flashcard
Spotlight
Zero Risk Guaranteed
15-days refund
Free tutor swap
No cancel fee
1-yr validity
24/7 support
Learner types for data science class
Data Science for intermediate
Data Science for adults
Home schooled
Data Science for beginners
Data Science for kids
ADHD
Anxiety or Stress Disorders
Data sciece class overview
As a Data Analysis, Databases, Machine Learning, Python, Statistics, Tableau, and Microsoft Excel tutor, I believe in a supportive and adaptable teaching methodology. I aim to be empathetic to all levels of students, providing an interactive and creative learning experience. My approach involves assigning data projects using real datasets to assess the process of data cleaning and visualization. I use datasets that align with the student's interests, highlighting innovative approaches and suggesting further exploration. I always tailor my teaching to meet the individual needs of each student, making learning engaging and impactful. My students have been able to build successful careers in Data Science and Analytics. Also I have the industry knowledge helping young professionals grow in their career and students to get past interviews with industry ready projects under their belt.
Your data science tutor also teaches
Data Analysis
Data Science
Databases
Excel
Machine Learning
Python

Data Science concepts taught by Aritra
Student and Tutor continued their lesson on Excel, focusing on advanced formatting techniques for data presentation. They learned how to convert data into a structured table, apply custom date, currency, and percentage formats, and utilize various table design options. A follow-up assignment will be provided, and the next session will cover data filtering.
Converting Data into Excel Tables (Ctrl + T)
Table Design Options for Enhanced Aesthetics
Dynamic Data Type Formatting: Date
Currency
and Percentage
The Student and Tutor continued their Excel lesson, focusing on advanced data management techniques. They covered sorting data by single and multiple criteria, freezing panes to maintain visibility of key rows and columns, and hiding/unhiding columns for data presentation. The Tutor also introduced adding comments to cells for additional notes. No immediate assignment was given as it was a compensatory class, but a proper assignment is planned after the next regular session.
Sorting Data in Excel
Freezing Panes for Enhanced View
Hiding and Unhiding Columns
Adding Comments to Cells
The Student and Tutor reviewed advanced Excel functions. They practiced conditional formatting, learned how to use `MAX` and `MIN` formulas, and explored the "Find and Replace" feature with its specific options. The session concluded with an introduction to data filtering, and the Student was informed that the next assignment would involve practicing these newly learned skills on a larger dataset.
Correcting Percentage Calculations
Automated Conditional Formatting
MAX and MIN Functions
Find and Replace (Ctrl+F/H) with Advanced Options
Data Filtering Essentials
The Tutor and Student worked on Microsoft Excel, covering how to calculate total scores, averages, and percentages for student marks using built-in formulas. They also learned to apply dynamic conditional formatting to color-code cells based on specific value criteria. The Student was assigned homework to practice these new Excel functions and formatting techniques.
Core Excel Formulas: SUM and AVERAGE
Cell References and Auto-Fill Magic
Calculating Percentage Scores
Dynamic Formatting with Conditional Formatting
Decimal Precision and Rounding
The session focused on fundamental Excel skills, covering the basic interface, efficient data entry, and various formatting techniques. The Student practiced creating and organizing a student mark sheet, including adding titles, borders, and colors. The Tutor introduced basic sum formulas, and a small assignment based on the day's topics will be sent for practice.
Data Entry and Tabular Organization
Essential Keyboard Shortcuts for Efficiency
AutoFit Column Width
Basic Data Formatting & Presentation
Applying Formatting with Format Painter
Introduction to Basic Formulas (Addition)
Excel Core Terminology
Teaching tools used by data science tutor
Digital whiteboard
Assessments
Looker
Jupyter Notebook
Streamlit
Presentations
Interactive data science classes
Parent feedback
Mobile joining
Open Q&A
Chat for quick help
Pets are welcomed
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