- Introduction
- Datasets
- Dataset Quiz
- Important KPIs
- Important KPI Quiz
- Domain Knowledge
- Domain Knowledge Quiz
- Final review
- Final Quiz
Data is a big part of the telecom business.
Operators collect and use data extensively from monitoring performance to making decisions.
But if you think about it, it can work other way around.
We can try understand the business by looking at important datasets used by telecom operators.
And that’s what this course is all about.
This course is for people who newly joined the telecom industry or planned to move to this industry.
It helps you to familiarize yourself with the context and so that you can work and speak like an insider!
It also help if you are currently working in the industry, you’ll be able to communicate clearly, drive new projects with the resources u never knew existed before.
This introductory course has a well balance of business and technical aspects.
To help you navigate the course easier, we split the it into 3 main parts, Datasets, Important KPIs, and Domain Knowledge.
Outline:
Introduction
Part 1: Datasets
Customer Relationship Management
Call Detail Records
Location Update
Performance Management
Network Inventory
SDK Dataset
Device Dataset
Customer Support Dataset
Part 2: Important KPIs
Growth KPIs:
Gross Add
Churn
Net Add
Subscriber Base KPIs:
Subscriber Base
VLR Base
RGB Base
Monetary KPIs:
Recharge
Revenue
ARPU
Network KPIs:
Call Setup Success Rate (%)
RRC Setup Success Rate (%)
ERAB Setup Success Rate (%)
Cell Availability (%)
Intra-frequency Handover Out Success Rate (%)
Inter-frequency Handover Out Success Rate (%)
Handover In Success Rate (%)
Call Drop Rate (%)
Average Downlink Throughput Per User (kbit/s)
Average Uplink Throughput Per User (kbit/s)
Cell Downlink Average Throughput (kbit/s)
Cell Uplink Average Throughput (kbit/s)
Cell Downlink Maximum Throughput (kbit/s)
Cell Uplink Maximum Throughput (kbit/s)
Downlink Traffic Volume (GB)
Uplink Traffic Volume (GB)
Average User Number
Maximum User Number
Resource Block Utilization Rate Uplink (%)
Resource Block Utilization Rate Downlink (%)
RSRP: Reference Signals Received Power
RSRQ: Reference Signal Received Quality
Part 3: Domain Knowledge:
Key Organizations
Evolution of Mobile Communication
Radio Frequencies
Signal Strength
Cell Phone Location
Learn how to create a native desktop application using Python and HTML/CSS/JS
Impresses your audience by showing the data on a map
Learn how to build a Laravel project & Deploy it using Cloudways
Register and Login Processes in Our Projects Through Social Media Environments
Mission: To split the truths from the noises by using science.
Vision: To be a humble and trustee advisor in the data domain through education and knowledge sharing.
About me: I am a data scientist working in the telecommunication industry. I help people understand things.
The motivation of this channel: On a busy day, I attend up to 2-3 sales pitches from vendors. They usually advertise their products or services as "AI, Machine Learning, Deep Learning, or Big Data." It does not take longer than 5 minutes to figure out if it is a zero or a hero. Most of the proposals are just straight B.S. That's why this channel exists to spread the data related knowledge to all stakeholders, especially the management team, so that they can make faster decisions to cut loose those types of "fake" projects. Save everybody time.