Python, SQL, Excel, Data Analytics, Data Science

From 13 € /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

Mohamed

5.0

(5)

This comprehensive course is designed to take absolute beginners with no prior coding experience to confident Python programmers. Through hands-on projects, real-world examples, and interactive exercises, students will master Python fundamentals and apply them to build applications, automate tasks, analyze data, and even explore game development.

What You’ll Learn:
🐍 Python Basics:

Syntax, variables, data types, and operators
Input/output, loops (for, while), and conditionals (if-else)

📚 Core Programming Concepts:

Functions, modules, and error handling
Lists, tuples, dictionaries, and sets

🎮 Real-World Applications:

File handling (read/write files)
Web scraping (intro to BeautifulSoup/Requests)
Basic game development (with Pygame)

🔢 Next-Level Skills (Towards "Hero" Level):

Object-Oriented Programming (OOP) – Classes & Objects
Working with APIs (fetching data from the web
Intro to data analysis (Pandas & Matplotlib basics)
Mini-capstone project to showcase skills

Giuliano

5.0

(5)

Python is a powerful and versatile programming language with countless possibilities. You can use it for data analysis, image processing, automation, software development, hardware control, and much more.

Do you want to create your own software?
Work with data or images?
Automate repetitive tasks?
Control or manage your own hardware?

Whether you are just starting to learn Python or already have a specific project and need some guidance, I would be happy to help you.

My goal is to explain things clearly, adapt to your level, and help you understand not only how to make something work, but also why it works.

Let's turn your ideas into working Python projects!

Amine

5.0

(5)

Course description: Introduction to Office Tools 💼📊📎

This introductory office tools course is designed to provide participants with a solid foundation in the effective use of commonly used business software, such as Microsoft Word, Excel and PowerPoint, as well as other essential applications such as e -emails. 🖥️📧

Graduate teacher in Information Systems and Service Science (Bachelor) and holder of a Bachelor's degree in Computer Networks, as well as an M1 in Digital Systems and Services, I am passionate about teaching essential digital skills to succeed in the modern professional world. 🎓💻

This course covers the basics of creating professional documents, managing data, and designing visually appealing presentations, while emphasizing effective communication via email. By the end of the course, participants will have acquired the skills to use these tools confidently and effectively, improving their productivity and employability. 🚀📈

Salah

5.0

(5)

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Rayah

5.0

(5)

Master Microsoft Word, Excel and Power Point with Personalized Online Private Lessons!
Boost your confidence with one-on-one Microsoft Word, Excel and Power Point classes tailored to your level and goals. Whether you're a beginner or advanced, our flexible online sessions fit your schedule and focus on what you need today from the comfort of your home!

Hayat

5.0

(5)

This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning.

The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.

Yomna

5.0

(5)

This course is designed to introduce students aged 7 to 16 to the world of programming through two of the most widely used and industry-relevant languages: C++ and Python.

The class provides a structured, age-appropriate pathway into programming, whether the student is a complete beginner or already exploring coding through platforms like Scratch or Code.org. Emphasis is placed on understanding logic, building problem-solving skills, and writing real code in a supportive, project-based environment.

Taught by an engineering student with hands-on experience in both C++ and Python, this course empowers students to explore the power of code and build a strong foundation in computational thinking — essential for future studies in engineering, robotics, AI, or game development.

Brent

5.0

(5)

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!

Salem

5.0

(5)

Improve your office skills with our online private lessons on Microsoft Word, Excel and PowerPoint!
Whether you're a beginner or looking to improve your skills, our personalized courses will help you:
Master the basic and advanced features of Word, Excel and PowerPoint
Create professional documents and impactful presentations
Increase productivity and efficiency in your work
Our courses are tailored to your needs and pace. Book your session today and improve your office skills!

Yassin

5.0

(5)

Master Word, Excel & PowerPoint with Private Online Classes!
Boost your productivity and skills with one-on-one sessions tailored to your level and goals. Learn at your own pace—from beginner to advanced. Perfect for students, professionals, and job seekers!

✅ Personalized Lessons
✅ Flexible Scheduling
✅ Real Projects & Practical Skills

Book your class today and start mastering Microsoft Office!

Asmer

5.0

(5)

Online Private Classes in Microsoft Word, Excel & PowerPoint – Master the Essentials from Home!

Unlock your full productivity potential with personalized, one-on-one online training in Microsoft Office Suite! Whether you're a student, professional, or looking to boost your digital skills, our tailored private classes in Microsoft Word, Excel, and PowerPoint are designed to meet your specific needs and learning pace.

🎯 What You’ll Learn:

📘 Microsoft Word:

Create professional documents, resumes, and reports
Format text, paragraphs, and styles efficiently
Use headers, footers, tables, and templates
Master mail merge, track changes, and collaboration tools
📊 Microsoft Excel:

Build and manage spreadsheets with confidence
Perform calculations using formulas and functions (SUM, AVERAGE, VLOOKUP, IF, etc.)
Create charts, pivot tables, and data analysis tools
Learn data sorting, filtering, and conditional formatting
📽️ Microsoft PowerPoint:

Design engaging, visually appealing presentations
Use animations, transitions, and multimedia elements
Apply themes, layouts, and master slides
Deliver impactful business or academic presentations
✅ Why Choose Our Online Private Classes?

100% customized to your skill level (beginner to advanced)
Flexible scheduling – learn at your convenience

Ammar

5.0

(5)

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

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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.

Jude

5.0

(5)

My lessons are designed to take you from simply following code to genuinely understanding how data science works.

We can cover the complete data science process, including data cleaning, exploratory data analysis, feature engineering, visualisation, statistics, machine learning, model evaluation and communicating results.

Depending on your goals, lessons can include:

Python, pandas, NumPy and scikit-learn
Data cleaning and exploratory analysis
Regression and classification
Decision trees, random forests and boosting
Clustering and dimensionality reduction
Cross-validation and model evaluation
Feature engineering and model interpretation
Neural networks and deep learning foundations
Bayesian modelling and PyMC
Portfolio and interview preparation
Support understanding university modules and projects

I use diagrams, analogies and practical demonstrations to make difficult ideas easier to understand. We will normally begin with an intuitive explanation, look at the underlying logic or mathematics, and then implement the concept in Python.

Lessons are personalised around your level. Complete beginners receive a structured learning path, while experienced students can focus on advanced topics, project guidance, debugging or interview preparation.

You will be encouraged to explain ideas back to me, interpret results and make your own modelling decisions. My goal is not only to help you produce working code, but to help you become an independent and confident data scientist.

Baia

5.0

(5)

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

Fatima

5.0

(5)

Teaching python to beginners!

In these classes, you will learn the basics of python programming, functions, lists, sets, and much more with practice assignments and assessments...

I have experience in teaching python to university peers.