R for Data Analysis
This training is dedicated to professionals and students wishing to diversify their skills in data analysis with R. A basic programming and an understanding of statistics and algorithms are assets, although they are not mandatory.
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The Art of Discovery: Become an Expert in R for Data Analysis
Mission
🌪️ In the constant whirlwind of today’s digital world, where billions of data are born every second 📈, lies a profession of an artist 🎨, an explorer 🧭, and a visionary 🔮: the Expert in R for Data Analysis 💼.
Imagine yourself as a modern-day archaeologist 🕵️♂️. Instead of digging the earth 🌍, you navigate through an infinite ocean of data 🌌, seeking hidden treasures 💎 of information. With the R language 🅡 as your compass, you unveil patterns, trends, and stories 📖 waiting to be told.
What sets apart this expert?
🔍 A Master of Code: Armed with the R language 🅡, they sculpt, shape, and reveal the very essence of data, transforming it into valuable insights 💡.
🎙️ A Born Narrator: Beyond numbers 1️⃣2️⃣3️⃣, they tell captivating stories 📚, turning data tables into powerful narratives that guide business decisions 📊.
🌌 A Visionary: Where others see a chaos of numbers ❓, they see opportunities, innovations, and futures to build 🏗️.
🔥 An Unrelenting Curiosity: Each dataset is a new world 🌏 to explore, each challenge a puzzle 🧩 to solve with creativity and rigor.
The profession of an Expert in R for Data Analysis is much more than a mere technical role 💻. It’s a call to adventure 🚀, a chance to dive into the beating heart ❤️ of the digital era and emerge with stories that shape our world 🌐.
If this quest for discovery beckons you ⏳, if you feel the excitement of deciphering the data puzzle 🧠, then the world of R for Data Analysis awaits 🚪.
Embrace this passion ❤️ and become a craftsman of the digital future 🌠.
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🎯 Objectives of the Training
Educate on the Basics
Learn the fundamentals of data analysis via R
Import Facility
Learn how to load and manipulate data from various sources.
BW techniques
Explorez en profondeur les ensembles de données.
Statistical Analysis
Master statistics with dplyr, tidyr, and ggplot2.
Data Visualization
Efficiently visualize the data.
interactive dashboards
Create interactive dashboards with Shiny.
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📚 Course content
Introduction to R
Familiarize yourself with the R work environment, its key features and syntax. Find out why R is an essential tool for data analysis.
data manipulation
Learn how to load, transform, and clean data using powerful libraries like dplyr, tidyr, and lubridate. Master the techniques to manage complex datasets.
Exploratory Data Analysis (EDA)
Dive into your data to extract relevant insights, understand trends and distributions using statistical approaches.
advanced visualization
Use libraries like ggplot2 to create dynamic visualizations, helping to tell compelling stories with your data.
statistical techniques
Deepen your statistical skills by using R to perform tests, regressions and other quantitative analyses.
Creation of Interactive Dashboards
Learn how to turn your analytics into interactive dashboards with tools like Shiny, providing a visually appealing presentation and practical utility for stakeholders.
The job of data analyst in a few figures
attractive salary
10000
€
On average, a beginning data analyst can expect an annual salary of €45,000 in Europe, which can rise to €70,000 or more with experience.
demand growth
0
%
Demand for data analysts increased by +372% between 2012 and 2022.
Growing need for specialization
0
%
About 40% of companies are currently looking for data analysts specialized in specific fields such as finance, marketing, or health.
Format & Prerequisites
Format 1 Day
Diving into the Fundamentals of R
Environment Setup:
Get started with R by setting up an optimal environment. Learn about the RStudio IDE, its features, and how it can amplify your data science workflow.Data Transformation:
Dive deep into data wrangling with the `dplyr` and `tidyr` libraries. Understand the art of reshaping data, filtering datasets, and combining multiple data sources to prepare for analysis.Visualization Mastery:
Unlock the potential of your data by visualizing it. Explore the capabilities of the `ggplot2` library, learning how to create compelling graphs, charts, and plots that tell a story.Format 2 Days
2-Day Intensive R Training: From Basics to Advanced Techniques
Day 1: Mastering R Basics and Data Visualization
- Introduction to the R ecosystem and RStudio environment.
- Data manipulation essentials with dplyr and tidyr.
- Effective data visualization techniques using ggplot2.
- Hands-on session: Crafting compelling data stories.
Day 2: Advanced R Techniques and Application Deployment
- Advanced data import/export techniques for diverse sources.
- Machine learning with R
- Introduction to Shiny for interactive data applications.
- Building robust applications using Golem.
- Hands-on session: Deploying a Shiny app with RConnect.
Format 4 days
Intensive Data Analysis with R
Day 1: R Fundamentals & Visualization
- Configuring and optimizing the R environment (Rstudio/Posit Workbench).
- Advanced data manipulation with dplyr and tidyr.
- Visualization techniques with ggplot2 and graph interpretation.
Day 2: Shiny, Golem & Interactive Applications
- Designing dynamic interactive applications with Shiny.
- Structuring and deploying robust applications with Golem.
Day 3: Advanced Statistics & Machine Learning
- Deep dive into statistical methods using R.
- Practical introduction to machine learning and model optimization.
Day 4: Big Data, Connect & Project Management
- Approaches to managing large datasets with R.
- Integrating and deploying solutions with RConnect.
- Overview of the Posit suite for effective project management.
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🗓 Schedule Your Consultation!
Do you have questions? Do you want to learn more about our courses or discuss a specific project? Schedule a personalized session with our team.
We look forward to collaborating with you and assisting you on your learning journey with Datakoo Training.
🚀 Why Choose Datakoo Training's Course?
proven expertise
Our trainers, with years of experience in the field, combine solid theory and proven practice to offer high-level teaching.
innovative pedagogy
The training is structured around interactive pedagogical approaches, combining real-life case studies, practical workshops, and tutoring sessions, to ensure a deep and applied understanding of the concepts.
market relevance
Designed to meet today’s business needs, our training specifically prepares you for the real challenges of the data world, making you immediately operational.
ongoing support
At Datakoo, your learning goes beyond training. We value lifelong learning and are here to answer your questions in a professional context. Get post-training support and regular updates on our platform. With Datakoo, you have a constant ally in your professional progression.
Do you want to take your skills to the next level today?
Discover the future of data training. With Datakoo, every lesson is an opportunity, every module a step towards excellence. You have the potential; we have the tools. Start your transformation today!