Advanced Certificate in R for Telecom Analytics
-- viewing nowThe Advanced Certificate in R for Telecom Analytics is a comprehensive course designed to empower learners with the essential skills required in today's data-driven telecom industry. This course emphasizes the use of R, a powerful statistical software, to analyze and interpret complex telecom data.
2,332+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
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
• <strong>Data Manipulation with R:</strong> An in-depth exploration of data manipulation techniques using R, focusing on data wrangling, subsetting, merging, and reshaping for telecom analytics.
• <strong>Telecom Data Analysis using R:</strong> A comprehensive review of analyzing telecom data with R, covering key concepts, exploratory data analysis, and descriptive statistics for telecom datasets.
• <strong>Statistical Modeling for Telecom Analytics:</strong> An introduction to statistical modeling techniques using R, such as linear and logistic regression, time series analysis, and forecasting for telecom analytics.
• <strong>Telecom Network Analysis with R:</strong> An exploration of network analysis methods using R, including visualization, community detection, and centrality measures for telecom network datasets.
• <strong>Machine Learning for Telecom Analytics:</strong> An overview of machine learning techniques using R, including supervised, unsupervised, and reinforcement learning, for predictive modeling and decision making in telecom.
• <strong>Big Data Analytics for Telecom using R:</strong> An introduction to big data analytics using R, covering distributed computing, Hadoop, Spark, and related tools for large-scale telecom datasets.
• <strong>Data Visualization with R:<strong> A thorough examination of data visualization techniques using R, focusing on effective visualization of telecom data, and creating interactive visualizations for web and mobile.
• <strong>Case Studies in Telecom Analytics with R:</strong> A review of real-world case studies and applications of R in telecom analytics, covering customer churn prediction, fraud detection, and network optimization.
Career Path
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
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate
