Python, SQL, Excel, Data Analytics, Data Science

From 14 € /h

Are you looking to learn Python programming from scratch or improve your coding skills for college, job interviews, or a career in Data Analytics and Artificial Intelligence? You're in the right place!

In this course, I provide personalized one-to-one online lessons designed for beginners, students, and working professionals. My teaching approach is practical and interactive, focusing on real-world applications rather than just theory. Every concept is explained in a simple, easy-to-understand way with plenty of hands-on practice.

### What you'll learn:

* Python Programming from Beginner to Intermediate
* Problem Solving and Coding Logic
* Object-Oriented Programming (OOP)
* File Handling and Exception Handling
* SQL and Database Basics
* Microsoft Excel for Data Analysis
* Power BI Dashboard Development
* Data Analytics Fundamentals
* Introduction to Machine Learning and Artificial Intelligence
* Interview Preparation and Project Guidance

### Why learn with me?

* Personalized lessons based on your goals and current skill level
* Step-by-step explanations with practical coding exercises
* Real-world projects to build confidence and strengthen your portfolio
* Help with assignments, academic projects, interview preparation, and career guidance
* Friendly, patient, and supportive learning environment with regular doubt-solving sessions

Whether you're preparing for exams, starting your programming journey, or aiming to build a career in Data Analytics, I'll help you gain the practical skills and confidence you need.

Book a lesson today, and let's start learning together!

Extra information

Before our first lesson, please let me know your current skill level (beginner, intermediate, or advanced) and your learning goals. This will help me create a personalized learning plan for you.

Please have a computer or laptop with a stable internet connection for the best learning experience. If required, I'll guide you through installing the necessary software such as Python, VS Code, MySQL, or Power BI before we begin.

Feel free to bring your assignments, projects, coding problems, or interview questions to class. I'm happy to help with academic coursework, exam preparation, technical interviews, internships, and real-world projects.

No prior programming experience is required—beginners are always welcome!

Location

Online from India

About Me

Hello! I'm Nikita Sharma, a passionate Data Science graduate and online programming tutor dedicated to helping students learn with confidence. I specialize in teaching Python, SQL, Microsoft Excel, Power BI, Data Analytics, Machine Learning, Artificial Intelligence, and basic HTML.

I believe that learning should be practical, interactive, and enjoyable. My teaching style focuses on explaining concepts in a simple way, followed by hands-on exercises and real-world projects that help students truly understand and apply what they learn. I adapt every lesson to the student's learning pace and goals, whether they are complete beginners, college students, or working professionals looking to develop new skills.

I'm committed to creating a supportive and friendly learning environment where students feel comfortable asking questions and building confidence. My goal is not only to help students succeed in exams or interviews but also to equip them with practical skills they can use in their academic and professional careers.

If you're looking for a patient, dedicated, and project-based tutor, I'd be delighted to help you achieve your learning goals. Let's learn, practice, and grow together!

Education

Bachelor of Technology (B.Tech) in Data Science. During my degree, I studied Python Programming, SQL, Data Structures, Database Management Systems, Statistics, Machine Learning, Artificial Intelligence, Data Analytics, Data Visualization, and Business Intelligence. I completed academic projects and internships involving real-world data analysis, predictive modeling, dashboard development using Power BI, and Python-based automation. My education provided both theoretical knowledge and practical problem-solving skills, enabling me to teach technical concepts in a simple and effective way.

Experience / Qualifications

I am a B.Tech graduate in Data Science with hands-on experience in Python, SQL, Microsoft Excel, Power BI, Data Analytics, Machine Learning, and Artificial Intelligence. I have completed internships and developed real-world projects involving data analysis, dashboard creation, business intelligence, and machine learning.

As an online tutor, I have taught students with different learning goals, including beginners, college students, and working professionals. I provide personalized one-to-one lessons, assist with assignments and projects, prepare students for technical interviews and exams, and focus on practical, project-based learning. My teaching approach emphasizes clear explanations, hands-on coding, and building confidence through real-world applications.

I continuously update my knowledge to stay current with the latest technologies and industry practices, ensuring students learn relevant and in-demand skills.

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

English

Hindi

Skills

Python

Microsoft powerpoint

Microsoft excel

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Dr.

5.0

(15)

I am Dr Iyer- a tutor with over 18 years of teaching experience as of 2023 and students from across the globe. I teach one-on-one online (over Skype/ Google Hangout and other media) using a pen tablet and the screen-share feature.

I have helped several students in courses like Python Programming, R Programming, Data Science,
Machine learning etc. I can customise the content to domains like business, economics finance and investments as per student requirements.

I have taught students of various age groups - high school (IB/Cambridge/IGCSE/ ICSE,) University (bachelors, masters, doctoral) and working industry professionals.

More than anything, I trust that if I can replace the fear of a subject with love for it, then I would have truly made a difference to the student.

Matías

5.0

(15)

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Adam

5.0

(15)

Learn to code with method and logic
Whether it's to succeed in the NSI (Digital Sciences and Technology) specialization in high school, design personal projects, or prepare for higher scientific studies, mastering code relies on solid algorithmic thinking. I help students understand the structure of programming languages and the logic of data.

Subject areas and languages taught:

Algorithms & Logic: Designing data structures and solving problems.

Programming Languages: Python, C/C++, C# and Java.

Data Management: Analysis and SQL queries / databases.

Basic Web Development: HTML & CSS for creating structured pages.

The goal is to take the student from simply writing code to true autonomy in development.

Amin

5.0

(15)

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

Salomé

5.0

(15)

A 34-year-old university graduate, business engineer, with 12 years of professional experience, offers her teaching services.

Lessons (1 hour online only) - 1.5 or 2 hours depending on the subject/level/location
Educational and organized teacher with excellent revision and organizational techniques
Microsoft Office - Excel/Word/PowerPoint - email - typing - ...

Educational and patient with a good methodology adapted to each student

97% success rate with regular monitoring

Feel free to contact me for more information!
See you soon

Amine

5.0

(15)

Discover programming lessons suitable for children! With a fun and educational approach, my lessons allow young minds to dive into the fascinating world of programming. Provide your children with an enriching learning opportunity in a fun and stimulating environment.

Ikrami

5.0

(15)

I would guide you step by step to get familiarised with the tools of Microsoft Office programmes (Word, Excel, and PowerPoint) that you believe you might need to meet your purposes. Your level of experience will determine where we start and how we proceed through the course.
Contact me

Yassine

5.0

(15)

Unlock Your Microsoft Office Potential! Private online classes available in Microsoft Word, Excel, and PowerPoint. Struggling with Microsoft Office? Get personalized help with private online classes in Word, Excel, and PowerPoint. Boost your productivity, create professional documents, analyze data effectively, and design engaging presentations. Learn from the comfort of your home! Inquire today.

Brent

5.0

(15)

Stuck in Excel? Want to finally understand how those formulas really work? Do you need to create a pie chart of your expense report for work or school, but feel completely lost? Don’t worry! I’m here to help... at your pace, with no jargon or complicated explanations.

Whether you:
- are starting completely from scratch,
- already have some basic knowledge,
- or want to solve a specific problem,
we’ll tailor the session to your needs. No one-size-fits-all course, just practical help that actually works for you.

👨‍🏫 About me
I’ve been using Excel since I was a teenager — for personal use (like budgeting tools or calorie trackers) and professionally as part of my work and studies in data analysis. Thanks to my experience and structured approach, I explain Excel in a clear and understandable way. I know how frustrating it can be when something technical doesn’t work... and how satisfying it feels when it finally clicks.

🎯 Topics we can cover
- Smart formulas (IF, VLOOKUP, INDEX, MATCH, etc.)
- Creating charts, pivot tables, and dashboards
- Using Excel for budgeting, planning, or managing projects
- Data analysis and basic programming in Excel
- Preparing for Excel tests or improving job-related Excel skills

💻 Practical info
- Having your own laptop/PC is helpful, but not required
- Online or in-person sessions possible
- Have specific questions or files you’d like to work on? Let me know! I also have my own practice materials.

Feel free to send me a message with your question or goal. I’ll gladly look at how I can help you out!

Adil

5.0

(15)

Online Private Classes in Microsoft Word, Excel, and PowerPoint

Unlock your potential with personalized online private classes in Microsoft Word, Excel, and PowerPoint! Tailored to your skill level—beginner, intermediate, or advanced—our expert instructors provide one-on-one guidance to master essential tools for school, work, or personal projects. Learn to create professional documents in Word, analyze data with Excel, and design stunning presentations in PowerPoint. Flexible scheduling, interactive sessions, and hands-on practice ensure you gain practical skills fast. Boost your productivity and confidence—book your first session today! Contact us

Hamed

5.0

(15)

Online Private Classes: Microsoft Word, Excel & PowerPoint
Unlock your productivity potential with personalized one-on-one training!

📘 Microsoft Word: Master document formatting, reports, and professional layouts.

📊 Microsoft Excel: Learn formulas, charts, and data analysis with ease.

🎤 Microsoft PowerPoint: Create impactful presentations that impress every audience.

👩‍🏫 Private & Flexible: Classes tailored to your level, schedule, and goals. 🌍 Online Access: Learn from anywhere, at your own pace. 🎯 Practical Skills: Focus on real-world applications for work, study, or personal projects.

👉 Start today and gain the confidence to use Microsoft Office like a pro!

Laroussi

5.0

(15)

Who should attend ?
This course is specifically designed for seniors, young retirees, or anyone wishing to update their computer skills at their own pace. No prior technical knowledge is required. Patience, clarity, and a supportive approach are at the heart of this training.

Why take this course?
Information technology should no longer be a barrier, but a tool to simplify your daily life and keep you connected with loved ones. This program has two objectives: to make you completely proficient with standard software (Word, Excel) and to introduce you, in a simple and engaging way, to the new Artificial Intelligence (AI) technologies that everyone is talking about.

Educational goals :
At the end of this learning cycle, you will be able to:

Drafting and formatting administrative or personal documents.

Managing a family budget or creating simple organizational lists.

Understand what Artificial Intelligence is (like ChatGPT or Gemini) and use it as a personal assistant on a daily basis.

Detailed program (Syllabus)
The program is adaptable to your initial level. Each session includes simplified theory and plenty of practice.

Module 1: The basics of office software (Microsoft Word)

Exploring the interface: the keyboard, the mouse, and the word processing screen.

Enter, correct and format text (bold, italics, colours, alignment).

Write an official letter or a letter to loved ones.

Save, find your document on the computer, and print it.

Module 2: Daily Organization (Microsoft Excel)

Understanding the principle of tables and cells.

Create simple lists (address book, shopping list).

Create a tracking table for the monthly budget (expenses, income).

Use basic formulas (automatic sum) to have the computer calculate for you.

Module 3: The Arrival of Artificial Intelligence (Chatbots)

What is Artificial Intelligence (AI)? A simple explanation and demystification.

Discover virtual assistants (ChatGPT or Gemini): how to access them for free and securely.

The art of the "Prompt" (the query): how to ask the right questions to the machine to get the best answers.

Practical workshops with AI:

Ask him to draft a complex email.

Looking for recipe ideas using leftovers from the fridge.

Have him summarize a long newspaper article.

Organize a travel itinerary from A to Z.

Module 4: Safety and Best Practices

Recognizing reliable information in the face of AI "hallucinations" (errors).

The golden rules for protecting your personal data on the internet and in Office documents.

My Pedagogical Methodology
The approach is entirely personalized. I adapt to your learning pace. Each new concept is immediately followed by a practical, concrete exercise directly related to your everyday needs (writing to an administration, planning your vacation, etc.). Simplified course materials can be provided at the end of each session to help you review on your own.

Ammar

5.0

(15)

A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

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B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

Baia

5.0

(15)

I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects

Pallavi

5.0

(15)

Learn Python with a structured, hands-on approach! Whether you are a absolute beginner looking to start coding, a student needing help with coursework, or a professional aiming to automate tasks, these lessons are tailored for you.What we will cover:
Core Fundamentals: Variables, loops, functions, and data structures.Object-Oriented Programming: Building reusable and clean code.Real-World Projects: Creating scripts, data analysis, or web scraping based on your goals.

Problem Solving: Learning how to debug and think like a programmer. Lessons are highly interactive. We will write code together from day one, and you will receive practical exercises after every session to build your confidence.