Nikita Dadlani
Data Science Tutor and help in assignments, case studies projects with experience of using tools - Excel, R, Python, Tableau, JASP.




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Nikita Dadlani
Masters degree
/ 55 min
About your data science tutor
Hi, I am Nikita Dadlani. I have around 10.5 years of experience of teaching online. I teach almost all concepts from statistics and data science. Along with that I know and teach the statistical analysis and programming tools like R, Excel, Python, JASP, Tableau. I have also solved many assignments, helped in case studies, reports, projects etc. I love to teach. I prefer teaching in detail and by clearing the basic concepts of student. Interactive sessions go best with my teacher. I like to crack the logic behind any concept and I teach with the same logic to students. I use pen tab also to teach and to explain the concepts clearly. In my teaching I like to discuss the concept from scratch even in advance concepts, it's good to discuss the previous basics for at least important pointers and I prefer that. My teaching method includes examples and references from real scenarios to get connected to what we are learning. At the end it's students' choice and comfort of how they need teaching and I would like to be flexible about it and teach accordingly. I try to strengthen the knowledge of student and make them feel confident about what they learnt. I make sure that student understood the concept by asking small questions and I welcome the questions and feedback. Thanks!
Meet Nikita
Data Science tutor skills
Assignment help
Machine learning
Data visualization
Predictive modeling
Case Studies
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 advanced
Data Science for beginners
Data Science for adults
Data Science for kids
Quick assignment help
90% of students get assignment support within 24 hours.
Debugging and problem-solving focus
85% of students improve debugging skills.
Highly rated for problem-solving approach
95% of students improve problem-solving skills and speed.
Your data science tutor also teaches
Data Analysis
Data Science
Excel
Tableau

Data Science concepts taught by Nikita
Student and Tutor worked on extracting and aggregating financial data in Excel. The session focused on troubleshooting date formatting issues, learning how to use the `SUMIF` function to calculate month-wise commission totals, and applying absolute references in formulas. The plan for the next session is to apply these methods to data from previous years to create comparative graphs.
Excel Pivot Tables for Initial Data Aggregation
Criticality of Date Formatting in Excel
SUMIF Function for Conditional Summation
Absolute vs. Relative Cell References (Dollar Sign $)
Excel Number & Currency Formatting
Excel Formatting for Currency and Numbers
Conditional Formatting for Data Highlighting
Excel Rounding Functions
Data Visualization with Line and Bar Charts
The student and tutor worked extensively with Microsoft Excel, focusing on applying and troubleshooting conditional formatting and color schemes within tables. They practiced using formulas for dynamic formatting and explored using macros to automate color application, with plans to cover decimal and currency formatting in the next session.
Excel Macros for Automation
Conditional Formatting with Formulas
Table Formatting and Data Integrity
Color Formatting Nuances and Troubleshooting
The Student and Tutor reviewed existing SUM formulas in Excel tables and learned about data sorting to organize information. The session then concentrated on conditional formatting, starting with highlighting individual cells and progressing to applying formula-based rules to highlight entire rows based on specific cell values. The Student was encouraged to apply this conditional formatting to other tables as follow-up.
Excel SUM Formula for Totals
Sorting Data in Excel Tables
Conditional Formatting: Highlighting Specific Cells
Conditional Formatting: Highlighting Entire Rows with Formulas
Absolute vs. Relative References in Formulas (`$`)
The Tutor and Student worked on advanced Excel data analysis and visualization. They focused on filtering data, formatting dates, creating and customizing pie charts to show commission proportions, and refining the overall presentation of tables and charts. Future sessions will involve creating yearly comparative graphs if historical data is provided.
Data Formatting and Customization
Data Filtering and Analysis
Spreadsheet Formulas for Calculation
Data Visualization: Creating Charts
Table Formatting and Layout
The student and tutor worked on advanced Excel formulas for commission tracking and data management. They practiced using subtraction and `SUMIF` functions, improved spreadsheet formatting, and learned to insert hyperlinks to external folders, with plans to finalize column configurations in the next session.
Dynamic Data Manipulation in Spreadsheets
Excel Data Linking and Organization
Excel Formatting and Presentation
Conditional Summation with SUMIF
Teaching tools used by data science tutor
RStudio
Google Colab
Jupyter Notebook

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