Professional Certificate in R for Business Intelligence

Name: Professional Certificate in R for Business Intelligence
Availability: InStock

-- viewing now

The Professional Certificate in R for Business Intelligence equips learners with essential data analysis skills using the R programming language. This course is crucial in today's data-driven world, where businesses rely on data analysis for decision-making.

4.5

Based on 6,385 reviews

7,338+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

About this course

The course covers data manipulation, visualization, and statistical analysis, making learners well-versed in handling, interpreting, and presenting complex data. With the increasing demand for data professionals, this course offers a great opportunity for career advancement. According to the Bureau of Labor Statistics, employment of data scientists and mathematical science professionals is projected to grow by 33% from 2019 to 2029, much faster than the average for all occupations. By mastering R for Business Intelligence, learners can seize this opportunity and excel in various roles, including Data Analyst, Business Intelligence Developer, and Data Scientist. In summary, this course is a vital step towards a rewarding career in data analysis, providing learners with in-demand skills and knowledge to thrive in the ever-evolving business intelligence landscape.

100% online

Learn from anywhere

Shareable certificate

Add to your LinkedIn profile

2 months to complete

at 2-3 hours a week

Start anytime

No waiting period

Course Details

• <data\_manipulation>: Introduction to data manipulation in R using packages like dplyr and tidyr. • <data\_visualization>: Data visualization using ggplot2, creating charts and plots for better data interpretation. • <statistical\_analysis>: Statistical analysis in R, including descriptive and inferential statistics. • <data\_modeling>: Data modeling using R, including linear regression, logistic regression, and time series analysis. • <business\_intelligence\_tools>: Overview of popular business intelligence tools integrated with R, like Shiny, R Markdown, and RStudio. • <big\_data\_analytics>: Big data analytics using R, including handling large datasets and using packages like SparkR and ff. • <machine\_learning>: Machine learning in R, including supervised and unsupervised learning using packages like caret and mlr. • <data\_security\_governance>: Data security and governance best practices in R, including data encryption, access control, and auditing. • <deployment\_best\_practices>: Best practices for deploying R-based solutions in a production environment.

Career Path

In the ever-evolving world of Business Intelligence (BI), the demand for professionals who can effectively leverage data to drive business growth has never been higher. Our Professional Certificate in R for Business Intelligence is designed to equip learners with the skills needed to excel in this dynamic field. With a focus on R, a leading programming language for statistical computing, this certificate program will empower you to extract valuable insights from complex data sets and present your findings in a clear and actionable manner. Discover the various roles in which R is being utilized by BI professionals: 1. **Data Analyst**: A data analyst collects, processes, and performs statistical analyses of data. They interpret the data, draw conclusions, and present results in a format that is easy to understand, often using charts, graphs, and tables. 2. **BI Developer**: A BI developer designs, develops, and maintains BI solutions according to the organization's needs. They are responsible for building data warehouses, creating ETL processes, and developing dashboards and reports. 3. **Data Scientist**: Data scientists combine statistical expertise, machine learning, and programming skills to analyze and interpret complex data sets and develop data-driven solutions. 4. **Data Engineer**: Data engineers design, build, and manage the data infrastructure that supports data science, BI, and analytics initiatives. They create data pipelines, ensuring that data is clean, accurate, and available for analysis. 5. **BI Manager**: A BI manager oversees the development and implementation of BI strategies and manages a team of BI professionals. They are responsible for ensuring that the organization's BI capabilities align with its objectives and goals. Equipped with the knowledge and skills provided by the Professional Certificate in R for Business Intelligence, you will be prepared to excel in any of these roles and drive success in the modern data-driven business landscape.

Entry Requirements

Basic understanding of the subject matter
Proficiency in English language
Computer and internet access
Basic computer skills
Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

Not accredited by a recognized body
Not regulated by an authorized institution
Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

Why people choose us for their career

Loading reviews...

Frequently Asked Questions

What makes this course unique compared to others?

▼

How long does it take to complete the course?

▼

What support will I receive during the course?

▼

Is the certificate recognized internationally?

▼

What career opportunities will this course open up?

▼

When can I start the course?

▼

What is the course format and learning approach?

▼

Course fee

Get course information

Pay as a company

Request an invoice for your company to pay for this course.

Pay by Invoice

Earn a career certificate

PROFESSIONAL CERTIFICATE IN R FOR BUSINESS INTELLIGENCE

is awarded to

Learner Name

who has completed a programme at

London School of International Business (LSIB)

Awarded on

05 May 2025

Blockchain Id: s-1-a-2-m-3-p-4-l-5-e

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.