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ANKIT
- Rate R26
- Response 1h

R26/h
Unfortunately, this tutor is not available
- Statistics
- Maths Logic
- Information Technology
Sql, Ms Excel ,statistics And Python For data analysis 100 per hour
- Statistics
- Maths Logic
- Information Technology
Lesson location
About ANKIT
I have completed my B.Tech in Computer Science, followed by an MBA, and have worked as a Business Analyst for about eight months, which gave me practical exposure to data-driven decision-making. I currently teach SQL, Python, MS Excel, and Statistics for Data Analysis, helping students build strong foundations as well as industry-ready skills. My sessions focus on simplifying concepts, using real-world examples, and ensuring students can confidently apply what they learn in projects, exams, or interviews. I offer one-on-one hourly classes at a fair fee that reflects the quality, personal attention, and effort I put into each session. My goal is not just to teach, but to make you capable of solving real problems with data.
About the lesson
- Matric/GCSE
- AS Level
- A Level
- +5
levels :
Matric/GCSE
AS Level
A Level
Secondary
BTech
Masters
Undergraduate
MBA
- English
Languages in which the lesson is available :
English
How My Classes Will Be Conducted (Example: Python for Data Analysis)
My classes follow a practical, problem-solving approach rather than just theory or rote learning. Every session is interactive, with screen sharing on Zoom/Google Meet and real-time coding.
Class Structure & Teaching Method
1. Strong Foundations First
Understanding Python basics: variables, input/output, operators
Lists, dictionaries, strings, loops, conditional statements
Writing small programs like calculator, menu-driven apps, etc.
2. Logical Thinking & Problem Solving
Reverse a string, check palindrome, count vowels/consonants
Find maximum/minimum in a list, frequency of elements
Learn how to approach a problem step-by-step like a programmer
3. Moving to Data Analysis
Introduction to NumPy: arrays, indexing, mathematical operations
Pandas: Series, DataFrames, importing datasets, filtering, grouping
Hands-on projects using real-world datasets (CSV/Excel files)
4. Interactive Coding Challenges
Practice questions in every session
Debugging exercises and live problem-solving
Mini projects and assignments to build confidence
5. Practical, Hands-on Learning
No memorization-focused teaching — everything is done through coding
Students write code along with me via screen sharing
Doubts are solved instantly during the class
Class Mode & Tools
100% online (Zoom, Google Meet, or any platform you prefer)
Screen sharing for live coding and explanation
Notes, code files, and practice questions provided after class
Flexible pace based on student’s understanding
Teaching Focus
Build strong logic and analytical thinking
Learn by doing, not memorizing
Step-by-step learning from basics to advanced
Confidence to solve problems independently
Rates
Rate
- R26
Package rates
- 5h: R79
- 10h: R140
online
- R17/h
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