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Emmanuel Segui
Dans ce cours d'une heure, basé sur un projet, vous apprendrez comment faire des analyses de données exploratoires de base (EDA) dans R, automatiser vos rapports EDA et apprendre quelques astuces et techniques avancées d'EDA.
Remarque : ce cours fonctionne le mieux pour les étudiants basés en Amérique du Nord. Nous nous efforçons actuellement d'apporter la même expérience dans d'autres régions.
Register for this course and see more details by visiting:
OpenCourser.com/course/svgnrj/analyse
What's inside
Syllabus
Vue d'Ensemble
À la fin de ce projet, vous saurez comment faire des analyses de données exploratoires de base (EDA) dans R, automatiser vos rapports EDA et apprendre quelques astuces et techniques avancées d'EDA.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Une introduction complète aux analyses de données exploratoires (EDA) dans R, vous aidant à manipuler des données efficacement
Automatisez vos rapports EDA pour gagner du temps et améliorer l'efficacité de vos analyses de données
Apprenez des trucs et des techniques avancés d'EDA pour approfondir vos analyses et extraire des informations plus approfondies
Idéal pour les débutants en EDA qui cherchent à acquérir une base solide dans ce domaine essentiel
Convient aux professionnels de la data qui souhaitent améliorer leurs compétences en EDA et suivre les meilleures pratiques de l'industrie
Save this course
Save Analyse Exploratoire des Données (AED) dans R to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Analyse Exploratoire des Données (AED) dans R with these
activities:
Review R basics
Show steps
R programming skills are needed for most of the assignments in the course. Reviewing the basics will greatly improve assignment completion rates.
Browse courses on
R
Show steps
-
Review R syntax
-
Review data structures in R
-
Review R functions
Find a R programming mentor
Show steps
Mentorship can greatly accelerate learning.
Browse courses on
R
Show steps
-
Identify the desired skills you want your mentor to have.
-
Research potential mentors.
-
Reach out to potential mentors.
Watch R programming tutorials
Show steps
Supplemental instruction will greatly benefit learning outcomes.
Browse courses on
R
Show steps
-
Find R programming tutorials online
-
Watch the tutorials
-
Take notes
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete R exercises
Show steps
Assignments will become progressively harder as the course goes on. Completing practice exercises will greatly improve the ability to complete assignments and improve grades.
Browse courses on
R
Show steps
-
Find R exercises online
-
Complete the exercises
-
Check your answers
Join a R programming study group
Show steps
Collaborative learning has been shown to improve retention and understanding for most learners.
Browse courses on
R
Show steps
-
Find a R programming study group
-
Attend study group meetings
-
Participate in discussions
Create a data visualization using R
Show steps
The ability to visualize data is critical to data analysis.
Browse courses on
R
Show steps
-
Choose a dataset
-
Clean the data
-
Create the visualization
Start a R programming project
Show steps
Completing a project will give students a sense of accomplishment in addition to building valuable skills.
Browse courses on
R
Show steps
-
Choose a project idea
-
Gather the necessary resources
-
Start working on the project
Participate in a R programming competition
Show steps
Competitions are a great way to test your skills and learn from others.
Browse courses on
R
Show steps
-
Find a R programming competition
-
Register for the competition
-
Prepare for the competition
Review R basics
Show steps
R programming skills are needed for most of the assignments in the course. Reviewing the basics will greatly improve assignment completion rates.
Browse courses on
R
Show steps
Show steps
Show steps
- Review R syntax
- Review data structures in R
- Review R functions
Find a R programming mentor
Show steps
Mentorship can greatly accelerate learning.
Browse courses on
R
Show steps
Show steps
Show steps
- Identify the desired skills you want your mentor to have.
- Research potential mentors.
- Reach out to potential mentors.
Watch R programming tutorials
Show steps
Supplemental instruction will greatly benefit learning outcomes.
Browse courses on
R
Show steps
Show steps
Show steps
- Find R programming tutorials online
- Watch the tutorials
- Take notes
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete R exercises
Show steps
Assignments will become progressively harder as the course goes on. Completing practice exercises will greatly improve the ability to complete assignments and improve grades.
Browse courses on
R
Show steps
Show steps
Show steps
- Find R exercises online
- Complete the exercises
- Check your answers
Join a R programming study group
Show steps
Collaborative learning has been shown to improve retention and understanding for most learners.
Browse courses on
R
Show steps
Show steps
Show steps
- Find a R programming study group
- Attend study group meetings
- Participate in discussions
Create a data visualization using R
Show steps
The ability to visualize data is critical to data analysis.
Browse courses on
R
Show steps
Show steps
Show steps
- Choose a dataset
- Clean the data
- Create the visualization
Start a R programming project
Show steps
Completing a project will give students a sense of accomplishment in addition to building valuable skills.
Browse courses on
R
Show steps
Show steps
Show steps
- Choose a project idea
- Gather the necessary resources
- Start working on the project
Participate in a R programming competition
Show steps
Competitions are a great way to test your skills and learn from others.
Browse courses on
R
Show steps
Show steps
Show steps
- Find a R programming competition
- Register for the competition
- Prepare for the competition
Career center
Learners who complete Analyse Exploratoire des Données (AED) dans R will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is someone who uses data to solve business problems. This course will help you develop the skills you need to become a successful Data Scientist, including data mining, machine learning, and artificial intelligence. Additionally, this course will teach you how to use R, a popular programming language for data science.
Business Analyst
Business Analyst
A Business Analyst is someone who uses data to make better business decisions. This course will help you develop the skills you need to become a successful Business Analyst, including data analysis, data visualization, and business intelligence. Additionally, this course will teach you how to use R, a popular programming language for business analytics.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst is someone who uses data to improve the efficiency and effectiveness of organizations. This course will help you develop the skills you need to become a successful Operations Research Analyst, including data analysis, optimization, and simulation modeling. Additionally, this course will teach you how to use R, a popular programming language for operations research.
Statistician
Statistician
A Statistician is someone who collects, analyzes, and interprets data. This course will help you develop the skills you need to become a successful Statistician, including data collection, data analysis, and statistical modeling. Additionally, this course will teach you how to use R, a popular programming language for statistics.
Data Analyst
Data Analyst
A Data Analyst is someone who works with data to identify trends, patterns, and insights. This course can help you develop the skills you need to become a successful Data Analyst, including data cleaning, data visualization, and statistical analysis. Additionally, this course will teach you how to use R, a popular programming language for data analysis.
Financial Analyst
Financial Analyst
A Financial Analyst is someone who analyzes financial data to make investment recommendations. This course will help you develop the skills you need to become a successful Financial Analyst, including data analysis, financial modeling, and investment analysis. Additionally, this course will teach you how to use R, a popular programming language for financial analysis.
Data Engineer
Data Engineer
A Data Engineer is someone who designs, builds, and maintains data pipelines and infrastructure. This course will help you develop the skills you need to become a successful Data Engineer, including data engineering, data architecture, and cloud computing. Additionally, this course will teach you how to use R, a popular programming language for data engineering.
Actuary
Actuary
An Actuary is someone who uses mathematics to assess risk and uncertainty. This course will help you develop the skills you need to become a successful Actuary, including data analysis, statistical modeling, and risk assessment. Additionally, this course will teach you how to use R, a popular programming language for actuarial science.
Market Researcher
Market Researcher
A Market Researcher is someone who collects and analyzes data about customers, markets, and competition. This course will help you develop the skills you need to become a successful Market Researcher, including data collection, data analysis, and market research techniques. Additionally, this course will teach you how to use R, a popular programming language for market research.
Compliance Officer
Compliance Officer
A Compliance Officer is someone who ensures that an organization complies with laws and regulations. This course will help you develop the skills you need to become a successful Compliance Officer, including data analysis, regulatory compliance, and ethics. Additionally, this course will teach you how to use R, a popular programming language for compliance.
Software Engineer
Software Engineer
A Software Engineer is someone who designs, develops, and maintains software applications. This course will help you develop the skills you need to become a successful Software Engineer, including data structures, algorithms, and software development. Additionally, this course will teach you how to use R, a popular programming language for software development.
Risk Manager
Risk Manager
A Risk Manager is someone who identifies, assesses, and manages risk. This course will help you develop the skills you need to become a successful Risk Manager, including data analysis, risk assessment, and risk management. Additionally, this course will teach you how to use R, a popular programming language for risk management.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst is someone who uses mathematics and statistics to analyze financial data. This course will help you develop the skills you need to become a successful Quantitative Analyst, including data analysis, financial modeling, and risk assessment. Additionally, this course will teach you how to use R, a popular programming language for quantitative finance.
Auditor
Auditor
An Auditor is someone who examines an organization's financial records to ensure accuracy and compliance. This course may help you develop some of the skills you need to become a successful Auditor, including data analysis and financial auditing. However, this course will not teach you about accounting or auditing standards, which are essential for a successful career in auditing.
Tax Accountant
Tax Accountant
A Tax Accountant is someone who prepares and files tax returns. This course may help you develop some of the skills you need to become a successful Tax Accountant, including data analysis and tax law. However, this course will not teach you about tax accounting principles or tax preparation software, which are essential for a successful career in tax accounting.
For more career information including salaries, visit:
OpenCourser.com/course/svgnrj/analyse
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Analyse Exploratoire des Données (AED) dans R.
Save
Ce livre fournit une introduction complète à l'analyse exploratoire des données (EDA) avec R. Il couvre un large éventail de sujets, de la préparation des données à la visualisation des données en passant par le modélisation statistique.
Save
Ce livre fournit une introduction complète à R pour la science des données. Il couvre un large éventail de sujets, de la programmation de base à la visualisation des données en passant par l'apprentissage automatique.
Save
Ce livre est une référence complète sur R. Il couvre un large éventail de sujets, de la programmation de base aux statistiques avancées.
Ce livre fournit une introduction à l'analyse statistique multivariée. Il couvre un large éventail de sujets, de la théorie statistique à la programmation statistique.
Ce livre fournit une introduction aux méthodes statistiques pour l'analyse et la visualisation des données. Il couvre un large éventail de sujets, de la théorie statistique à la programmation statistique.
Ce livre fournit une introduction à l'apprentissage automatique avec R. Il couvre un large éventail de sujets, des algorithmes d'apprentissage automatique à la programmation R.
Save
Ce livre fournit une introduction à l'apprentissage profond avec R. Il couvre un large éventail de sujets, des réseaux de neurones profonds à la programmation R.
Save
Ce livre fournit une introduction au traitement du langage naturel avec R. Il couvre un large éventail de sujets, des techniques de traitement du langage naturel à la programmation R
Ce livre fournit une introduction à R pour les débutants. Il couvre un large éventail de sujets, de la programmation de base à la visualisation des données en passant par le modélisation statistique.
Ce livre fournit une introduction à R pour les programmeurs. Il couvre un large éventail de sujets, de la programmation de base aux techniques avancées de programmation.
Ce livre fournit un guide de style pour la programmation R. Il couvre un large éventail de sujets, des bonnes pratiques de programmation aux techniques avancées de programmation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/svgnrj/analyse
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Emmanuel Segui
Language
Français
Good to know
Une introduction complète aux analyses de données exploratoires (EDA) dans R, vous aidant à manipuler des données efficacement
Automatisez vos rapports EDA pour gagner du temps et améliorer l'efficacité de vos analyses de données
Apprenez des trucs et des techniques avancés d'EDA pour approfondir vos analyses et extraire des informations plus approfondies
Idéal pour les débutants en EDA qui cherchent à acquérir une base solide dans ce domaine essentiel
Convient aux professionnels de la data qui souhaitent améliorer leurs compétences en EDA et suivre les meilleures pratiques de l'industrie
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