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Doctoral student in Paris 1 offers R | Python course for data science

From 36 € /h

I am currently in my last year of doctorate. I wrote two textbooks on data science, a first one devoted to R and data analysis. A second on the creation of deep learning model with Tensorflow.
It seems important to be able to transmit this knowledge to calmly approach data science.

Regarding my teaching experience, I was ski instructor for 5 years and profes

My teaching method is based on the use of Jupyter notebooks and online collaboration tools to optimize the exchange.

The whole of the courses is done around practical cases with a first part devoted to the theoretical notions.

All courses will be available online.

The idea is to propose a training to master the whole chain of value of the data analysis:

1: Database connection

2: Collaborative platform creation

3: Knowledge programming language to set up the analysis

4: Discovering analytics tools: capturing the best story behind the data

5: Report Writing / Collaborative Dashboard

6: Sharing the analysis with the outside world (via Medium, blog / website, and other tools.

The audience is mainly graduate students or professionals wishing to develop knowledge in data science.

Location

Use Ctrl + wheel to zoom!

At student's location :

Around Le Kremlin-Bicêtre, France

About Me

Intuitive and results-oriented PhD candidate. Proficient in integrating machine learning algorithms, data structures, and data analysis. Skilled at applying machine learning and statistical modeling techniques to solve technical problems. Proven track record of delivering research and solutions to businesses. Excellent communication, attention to detail, and problem-solving skills.

Quality
Excellent analytical skills and proven ability to read and interpret
different data

Ability to communicate detailed statistical and scientific results intended for
laypersons. Agile in learning skills and in participating in new process solutions

Programming languages and software such as Python, R, TensorFlow, BigQuery, Docker, GitHub, Web Scraping, SQL, STATA, LaTeX, VBA, Power Query, Power BI, Access

Education

PARIS 1 and FUDAN UNIVERSITY, (FRANCE and CHINA) |2015 – 2018|
PhD Candidate in International Trade (Taught in Chinese and English)
Subject of study: Econometrics, Foreign Direct Investment, Export and Quality
Sujet: “Economic Complexity and Location of Foreign Firms in China”
Sujet: “Promoting Upgrading: The Role of Governmental Interventions in China”
Sujet: “The Role of the VAT Rebate on the Process of Quality Upgrading, Evidence from China”
PARIS 1 PANTHEON SORBONE UNIVERSITY - ENS CACHAN (with honors) |2014|
Master 2 Research International Trade (taught in English)
Thèse Master: “Economic Complexity and Location of Foreign Firms in China”

Experience / Qualifications

Missions freelance |Jul 2016 – Present|

Author of the textbook Introduction to R for data analysis
Author of the textbook Artificial Intelligence with TensorFlow

Case 1: Volatility forecasting with the GARCH family model

Using the GARCH model to render the FCHI market index into a volatility forecast
robust
Using the GARCH Markov-Switching model to improve performance in a market
with structural breaks

Case 2: Predicting the best time to post a message on Weibo (Chinese Twitter)
Using the Hurdle negative binomial model to improve prediction performance
when the dependent variable has an excess of zero.
Using a latent class model to cluster Weibo accounts

Case 3 Problem: Lack of data to calculate the profit margin of a company producing kitchens
custom made.
Creation of a user-friendly file on Access to enable data collection and analysis
Development of a break-even point model to obtain a real-time selling price
Implementation of purchase/sales traceability to accurately determine the margin on each sale
Creation of a monthly report
Result: +10% improvement in margin after one year

Other projects
Oversee the creation of a customer retention dashboard: customer repeat rate model and
CLV with Pareto/NBD model
Supervising the drafting of a project proposal for a call for tenders: Modeling the demand for
A Beijing-based amusement park: Generalized Bass Model and other Machine Learning methods
Oversee the drafting of a statistical analysis following the collection of survey data for a product launch in China: Chi-square test, confidence interval, ANOVA

Age

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Duration

60 minutes

The class is taught in

English

French

Skills

Computer programming

Reviews

Availability of a typical week

(GMT -04:00)

New York

At student's home

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

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Digital electronics
Analog electronic
electromagnetism (propagation of high frequency waves)
Automatic (continuous, sampled)
electrical engineering (transformers, electrical machines, switching power supply)
C / c ++ programming, Assembler, ARM, STM32
renewable energy (wind, PV)
engineering Sciences
RDM
Python,VHDL
PIC Microprocessor and Microcontroller
Signal processing and data acquisition
Engineering Sciences

These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes.

COURSE OBJECTIVES AND PEDAGOGICAL APPROACH

Resumption and deepening of fundamental concepts through exercises with course reminders.

Put the student in a situation of questioning and research.

Respond to individual issues and questions

Exercise training in order to achieve real mastery of the content.

Learn to build theoretical reasoning from observable facts or hypotheses.

Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background)

This educational approach is effective since it has often led me to interesting results with my students.

Associate professor provides support courses in electrical engineering

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For University/High school/Primary school students.

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- B.tech and M.tech in Computer Science
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- More than 6 years of teaching experience
- Oracle Certified Developer
- Helped students placed in FAANG

Featured Review :
Been trying to learn Java on my own for about 1 year and I couldn't get a grasp on it. Aniket make learning Java a fun experience and challenges you to think for yourself to reinforce the concepts you've learned. I am truly excited for our meetings and he makes time go by so fast that I'm upset when they end. Great teacher and he is genuinely passionate about your success. If I could give him more stars I would!!!

Thanks
Aniket

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◾ Tools

RStudio • SQL • SPSS • SAS • Jamovi • JASP

◾ Statistical Methods & Tests

Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation

◾ Data analysis & decision support

- Data preparation, structuring and validation using SAS, R and SQL
- Descriptive, exploratory and multivariate statistical analyses on business data
- Production of performance indicators and actionable analyses to support decision-making

◾ Selection and implementation of methods

- Preparation and structuring of databases
- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)
- Linear and logistic regressions
- Factor analyses (PCA / MCA)
- Mediation and moderation models
- Classification / clustering

1) Academic support

- Lectures, tutorials, projects and assignments in statistics
- Help in understanding and interpreting the results
- Preparation for exams and academic presentations

2) Statistical analysis

- Descriptive statistics (univariate and bivariate)
- Multivariate analyses
- Data exploration and outlier detection

3) Statistical tests

- Correlations (Pearson, Spearman, Cohen's Kappa)
- t-tests (one and two samples, independent or paired)
- Chi-square, binomial tests
- z-scores and associated indicators

4) Statistical modeling

- Linear regressions (simple and multiple)
- Logistic regression
- Interpretation of coefficients, diagnostics and validation of models

5) ANOVA & ANCOVA

- One- or multi-factor ANOVA
- Repeated measures ANOVA
- Fixed and random effects
- Post-hoc tests and effect sizes

6) Factor analyses

- ACP / PCA (scree plot, factor scores, matrices)
- Exploratory factor analysis
- Factorial rotations
- Validation and interpretation of structures and clusters

◾ Reporting & communication

- Clear, structured and concise reporting of results
- Visualizations tailored to decision-makers
- Support for strategic and operational decision-making

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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.

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As a specialized Spring Boot instructor, my primary goal is to expertly guide you in mastering this leading Java development framework.

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My goal is to make you a competent Spring Boot expert, capable of creating robust, scalable applications that meet industry standards. To summarize, my Spring Boot courses are suitable for all levels, from beginners to experienced developers, and are customized to meet your development needs and aspirations.

I'm excited to work with you to help you master Spring Boot and bring your most ambitious development projects to fruition.

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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.

Join

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With an interactive and effective teaching approach, you will benefit from personalized support to overcome obstacles, grasp complex concepts and improve your performance. Whether it is to succeed in difficult exams, high-level competitions or to create powerful applications in Python, this course will provide you with all the tools necessary to achieve your goals.

🎯 Why Choose This Course?
Advanced and Expertise Level: In-depth content and effective methodology to master complex topics in physics and programming.
Personalized Courses: Sessions adapted to your needs, your pace and your level.
Interactive Online Learning: Dynamic online courses with screen sharing and audio interaction for enjoyable and engaging learning.
Concrete Projects and Practical Applications: Development of practical projects to implement theoretical concepts.
Intensive Preparation for Exams and Competitions: Rigorous training with complex exercises and exam simulations to guarantee your success.
Flexibility and Comfort: Learn from home, according to your schedule, without having to travel.

🔬 Advanced Physics – From High School to University
This module offers a complete and in-depth program to prepare you for demanding secondary school exams, preparatory classes and scientific university courses:

1. Secondary Physics (High School and Preparatory Classes)
⚙️ Classical Mechanics: Kinematics, dynamics, Newton's laws, energy and work, oscillations.
🌊 Waves and Vibrations: Wave propagation, interference, diffraction, acoustics.
⚡ Electricity and Magnetism: Electric circuits, electrostatics, magnetostatics, electromagnetic induction.
🔦 Optics: Geometric optics (lenses, mirrors), wave optics (interference, diffraction).
🌡️ Thermodynamics: Laws of thermodynamics, thermodynamic cycles, entropy, changes of state.

2. University and Advanced Physics
🔄 Analytical Mechanics: Lagrangian, Hamiltonian, and generalized coordinates.
🌐 Advanced Electromagnetism: Maxwell's equations and the propagation of electromagnetic waves.
🧪 Quantum Physics: The postulates of quantum mechanics, the wave function, and the Schrödinger equation.
☢️ Nuclear and Particle Physics: The structure of the nucleus, radioactivity, and fundamental interactions.
🌌 Special Relativity: Lorentz transformations, time dilation, and length contraction.

3. Intensive Preparation for Exams and Competitions
📘 Scientific methodology: Learn to analyze statements, structure responses and write clearly and precisely.
📝 Application exercises and past papers: Intensive training to master the concepts and pass your exams.
🔎 Solve complex problems with detailed explanations and effective strategies.
⏰ Time management: Practical tips to improve your time management during exams.

🐍 Advanced Python Programming – Focused on Efficiency
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1. Mastering Advanced Concepts in Python
🔠 Advanced Syntax and Best Practices: Deepening of Python concepts.
📦 Object-Oriented Programming (OOP): Abstract classes, interfaces, and design patterns in Python.
🔄 Functional Programming: Using lambda, map, filter, reduce, generators and iterators.
⚡ Asynchronous Programming: Implementing asyncio for fast and responsive applications.
🧪 Unit Testing and Code Quality: Use of pytest, code coverage, and CI/CD.

2. Performance Optimization
🚀 Algorithm Optimization: Analysis of algorithmic complexity and use of efficient data structures.
⚙️ Profiling and Debugging: Performance evaluation with cProfile and code improvement.
🔒 Security and Robustness: Writing secure code and handling exceptions appropriately.
3. Practical Projects and Advanced Applications
🌐 Web Applications: Building high-performance web applications using Flask and FastAPI.
📊 Data Science and Machine Learning: Exploitation of Pandas, NumPy, Scikit-learn and TensorFlow.
🕸️ Advanced Web Scraping: Complex data extraction using BeautifulSoup and Selenium.
🤖 Automation and Efficient Scripts: Automation of tasks and development of efficient scripts.

🧑‍🏫 Methodology and Pedagogical Approach:
Learning by doing: Each theoretical concept is directly implemented through practical exercises.
Interactive Online Teaching: Using audio and screen sharing for seamless communication and dynamic learning.
Personalized monitoring: Regular support to assess your progress and answer all your questions.
Concrete projects: Development of complete projects to apply your programming skills.
Motivation and Confidence: A positive and encouraging approach to build your confidence in your abilities.

🎓 For whom?
This course is intended for:

- High school and preparatory class students who aspire to academic excellence.
- University students in science and computer science wishing to deepen their knowledge.
- Candidates for scientific competitions who are preparing for physics and programming tests.
- Developers looking to improve their advanced Python skills.
- Researchers and engineers who use Python for complex scientific applications.

🔔 Register now! Don't miss the opportunity to master advanced physics while developing skills in optimized and efficient Python. Join our program "🚀 Advanced Courses - 🔬 Physics from High School to University & 🐍 Advanced Python Programming Focused on Efficiency!" and progress at your own pace with confidence and motivation!

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- We'll review your project's background and requirements.
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Whether you require a single session or a series of in-depth consultations, my goal remains the same: to help you break through programming barriers and achieve your goals.

Ready to level up your programming skills? Let's get started!

Please note:
This is a support course only ! While I'm here to guide you, the project's success lies in your hands and I will not finish your project for you.

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My philosophy revolves around these three values:
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By the end of this course, students will:
✅ Build fun projects with Scratch 🎮
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✅ Develop problem-solving & logical thinking skills

This course is perfect for kids who love technology and want to start their journey into programming in a creative and enjoyable way!