Etudiant en doctorat à Paris 1 propose cours R|Python pour data science
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Je suis actuellement en dernière année de doctorat. J'ai écrit deux textbook sur le data science, un premier consacrer à R et l'analyse de donnée. Un second sur la création de modèle de deep learning avec Tensorflow.
Il semble important de pouvoir transmettre ce savoir pour aborder sereinement le data science.
Concernant mon expérience d'enseignement, j'ai été moniteur de ski pendant 5 ans et profes
Ma méthode d'enseignement est basée sur l'utilisation de notebook Jupyter et des outils de collaboration en ligne pour optimiser au mieux les échanges.
L'ensemble des cours se fait autour de cas pratiques avec une première partie consacrée aux notions théoriques.
Tous les cours seront disponible en ligne.
L’idée est de proposer une formation pour maitriser l’ensemble de la chaine de valeur de l’analyse de donnée:
1: Connexion base de donnée
2: Création plateforme collaborative
3: Connaissance language de programmation pour mettre en place l’analyse
4: Découverte d’outils d’analyse: capter la meilleure histoire derrière les données
5: Rédaction de rapport/Dashboard en mode collaborative
6: Partage de l’analyse avec le monde extérieur (via Medium, blog/site internet, et autre outil.
L'audience est principalement les étudiants de second cycle ou professionels souhaitant développer les connaissances en data science.
Il semble important de pouvoir transmettre ce savoir pour aborder sereinement le data science.
Concernant mon expérience d'enseignement, j'ai été moniteur de ski pendant 5 ans et profes
Ma méthode d'enseignement est basée sur l'utilisation de notebook Jupyter et des outils de collaboration en ligne pour optimiser au mieux les échanges.
L'ensemble des cours se fait autour de cas pratiques avec une première partie consacrée aux notions théoriques.
Tous les cours seront disponible en ligne.
L’idée est de proposer une formation pour maitriser l’ensemble de la chaine de valeur de l’analyse de donnée:
1: Connexion base de donnée
2: Création plateforme collaborative
3: Connaissance language de programmation pour mettre en place l’analyse
4: Découverte d’outils d’analyse: capter la meilleure histoire derrière les données
5: Rédaction de rapport/Dashboard en mode collaborative
6: Partage de l’analyse avec le monde extérieur (via Medium, blog/site internet, et autre outil.
L'audience est principalement les étudiants de second cycle ou professionels souhaitant développer les connaissances en data science.
المكان
عند الطالب :
- بالقرب من Le Kremlin-Bicêtre, فرنسا
من أنا؟
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
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
المستوى التعليمي
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”
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”
الخبرة / المؤهلات
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
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
السن
الكبار (18-64 سنة)
الكبار (65 سنة فأكثر)
مستوى الطالب
مبتدئ
متوسط
المدة
60 دقيقة
الدرس يدور باللغة
الإنجليزية
الفرنسية
مهارات
المراجعات
الجاهزية في الأسبوع العادي
(GMT -04:00)
نيويورك
عند التلميذ
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
فصول مماثلة
فصول مماثلة
ضمان المدرس المناسب
اتصل بThomas