Data Science With R
Instructor-led training in Data Science With R. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
Data Science With R is an intermediate-level course designed to equip you with essential skills in data analysis, visualization, and modeling using the R programming language. As data continues to drive decision-making across industries, mastering these skills will empower you to extract insights and make data-driven decisions effectively.
What you'll learn
- You will be able to manipulate and analyze data using R's tidyverse package.
- You will be able to create informative visualizations with ggplot2.
- You will be able to implement statistical models for predictive analytics.
- You will be able to perform data cleaning and preprocessing techniques.
- You will be able to conduct exploratory data analysis to uncover trends.
- You will be able to apply machine learning algorithms using R.
- You will be able to communicate your findings through reports and presentations.
Curriculum
8 modules · outline is indicative and can be tailored to your team.
1Introduction to R and RStudio
- Setting up R and RStudio
- Understanding R syntax and data types
- Basic operations and functions in R
2Data Manipulation with dplyr
- Data importing and exporting
- Filtering and selecting data
- Mutating and summarizing data
3Data Visualization with ggplot2
- Creating basic plots
- Customizing visualizations
- Creating multi-layered graphics
4Statistical Analysis
- Descriptive statistics
- Hypothesis testing
- Regression analysis
5Machine Learning Basics
- Introduction to machine learning concepts
- Supervised vs. unsupervised learning
- Building and evaluating models
6Data Cleaning and Preprocessing
- Handling missing values
- Data transformation techniques
- Data normalization and scaling
7Exploratory Data Analysis (EDA)
- Understanding data distributions
- Identifying patterns and anomalies
- Using EDA for decision making
8Communicating Results
- Creating reports in R Markdown
- Presenting data findings effectively
- Best practices for data storytelling
Prerequisites
Basic knowledge of programming concepts is recommended.
Who should attend
This course is ideal for data analysts, business analysts, and anyone looking to enhance their data science skills using R.
Certification
Frequently asked questions
What is the delivery format of the course?
The course is delivered live online through interactive sessions with an instructor.
How long is the course?
The course typically spans over 8 weeks, with one session per week.
Will I receive a certificate upon completion?
Yes, you will receive an Skilvi course-completion certificate after finishing the course.
Are exam vouchers included?
Exam vouchers are available through authorized channels on request.
What are the prerequisites for this course?
Basic knowledge of programming concepts is recommended, but no specific prior experience is required.
Pricing on request
- Live online (VILT)
- 24–32 hours
- Hands-on labs & assignments
- Skilvi completion certificate
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