R for Data Science Training





R for Data Science Training
Order this unique E-Learning Training R for Data Science online, 1 year 24/7 access to rich interactive videos, progress through reporting and testing.
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- Buy 2 for €155,82 each and save 2%
- Buy 3 for €154,23 each and save 3%
- Buy 4 for €152,64 each and save 4%
- Buy 5 for €151,05 each and save 5%
- Buy 10 for €143,10 each and save 10%
- Buy 25 for €135,15 each and save 15%
- Buy 50 for €127,20 each and save 20%
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- In stock
- Delivery time:
- Ordered before 5 p.m.! Start today.
- Award Winning E-learning
- Lowest price guarantee
- Personalized service by our expert team
- Pay safely online or by invoice
- Order and start within 24 hours
R for Data Science E-Learning
Order this unique E-Learning course R for Data Science online!
✔️ 1 year 24/7 access to interactive videos, voice-activated content and progress monitoring via reports.
✔️ Test your knowledge immediately with tests per chapter.
Why choose this course?
R is a powerful and widely used tool for data science and statistical analysis. This course provides you with a comprehensive introduction to the key concepts and tools needed to learn and apply data science techniques.
With this course you will gain:
- Thorough knowledge of data structures and how to manage them in R.
- Practical skills in data analysis such as importing, cleaning and manipulating datasets.
- Understanding regression analysis and classification models that you can apply to real datasets.
- Data visualisation tools to present complex insights simply and effectively.
Whether you are a beginner or want to expand your knowledge, this course will give you the skills to make data-driven decisions and solve complex data challenges.
Who should participate?
This course is perfect for:
- Data analysts and scientists who want to learn R to perform advanced data analysis.
- Statisticians who want to improve their work with a programming language designed specifically for data applications.
- IT professionals who want to transition to a career in data science or machine learning.
- Anyone interested in data science who wants to use a powerful tool like R for data manipulation and visualisation.
Course content
R for Data Science: Data Structures
Course: 52 Minutes
- Course Overview
- Creating Vectors
- Manipulating Vectors
- Sorting Vectors
- Using Lists
- Creating Matrices
- Matrix Operations
- Creating Factors
- Creating Data Frames
- Data Frame Operations
- Exercise: Creating and Using a Data Frame
R for Data Science: Importing and Exporting Data
Course: 34 Minutes
- Course Overview
- Reading from CSV
- Reading from Excel
- Reading from HTML
- Exporting to CSV
- Exporting to Excel
- Exporting to HTML
- Exercise: Reading and Writing Data
R for Data Science: Data Exploration
Course: 41 Minutes
- Course Overview
- Creating dplyr Tables
- Selecting Subsets
- Filtering Tabular Data
- Piping Data
- Mutating Data
- Summarizing Data
- Combining Datasets
- Grouping Data
- Exercise: Querying Data
R for Data Science: Regression Methods
Course: 37 Minutes
- Course Overview
- Linear Data Preparation
- Creating Linear Models
- Interpreting Model Output
- Using Linear Prediction
- Logistic Data Preparation
- Using glm
- Exercise: Creating a Linear Model
R for Data Science: Classification & Clustering
Course: 39 Minutes
- Course Overview
- Preparing Data for Classification
- Using rpart
- Using ctree
- Preparing Data for Clustering
- Using K-Means Clustering
- Using Hierarchical Clustering
- Exercise: Creating a Decision Tree
R for Data Science: Data Visualization
Course: 33 Minutes
- Course Overview
- Using Scatter Plots
- Using Line Graphs
- Using Bar Charts
- Using Box and Whisker Plots
- Using Histograms
- Using a Bubble Plot
- Exercise: Data Visualization
Get started with R for Data Science!
✔️ Learn at your own pace with interactive and accessible content.
✔️ Get hands-on knowledge that you can immediately apply to real data challenges.
✔️ Become an expert in data science and boost your career.
Order your course now and discover the power of R for data analysis and visualisation!
Language | English |
---|---|
Qualifications of the Instructor | Certified |
Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
Lesson duration | 3:56 Hours |
Progress monitoring | Yes |
Access to Material | 365 days |
Technical Requirements | Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge. |
Support or Assistance | Helpdesk and online knowledge base 24/7 |
Certification | Certificate of participation in PDF format |
Price and costs | Course price at no extra cost |
Cancellation policy and money-back guarantee | We assess this on a case-by-case basis |
Award Winning E-learning | Yes |
Tip! | Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. |
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