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

From 33.94 Fr /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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◾ Statistical Methods & Tests

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- Preparation and structuring of databases
- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)
- Linear and logistic regressions
- Factor analyses (PCA / MCA)
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- Descriptive statistics (univariate and bivariate)
- Multivariate analyses
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- Correlations (Pearson, Spearman, Cohen's Kappa)
- t-tests (one and two samples, independent or paired)
- Chi-square, binomial tests
- z-scores and associated indicators

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- Linear regressions (simple and multiple)
- Logistic regression
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- Repeated measures ANOVA
- Fixed and random effects
- Post-hoc tests and effect sizes

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- 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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