Forecasting Mobile Network (Internet) Traffic with Recurrent Neural Network
Learn how to predict the mobile traffic load with high accuracy using Python.
Learn how to predict the mobile traffic load with high accuracy using Python.
Since the pandemic, people have shifted their daily habits and increased their time spent on the internet. The new patterns also raise a new demand: fast and reliable internet networks. As the number of internet users increases, the bandwidth for the services also needs to be increased. To continue providing the best service to customers, internet service providers should take advantage of data science.
By performing time series analysis using the Recurrent Neural Network (RNN) model, internet service providers can estimate how much bandwidth they need and manage network resources more efficiently. Estimations can be achieved by analyzing the characteristics of users and their area coverage for a particular time.
This 3-day online workshop is a beginner-friendly introduction to Forecasting Mobile Network (Internet) Traffic with RNN. By performing time series analysis on your historical business data and comparing it with current trends, you will be able to make a more informed decision.
Throughout the online course, we will provide participants with a rich interactive experience. One Instructor and two Teaching Assistants will help participants to troubleshoot or help with any difficulties encountered by participants.
NOTE: This workshop will be delivered in Bahasa Indonesia.
Upon completion of this workshop, you will be able to:
Python Programming Basics
Neural Network Architecture
Recurrent Neural Networks
Case Study: Forecasting Mobile Network (Internet) Traffic
This testimonial video is taken after our previous Online Data Science Series: Time Series Analysis for Business Forecasting.
Our learning format is online-interactive, you will feel the interactive experience as if you were present in a physical classroom. You can access the class using your Zoom account on pre-defined dates.
Workshops in this series are tailored to casual programmers and non-programmers that are taking their first steps into data science. It assumes no prior knowledge or academic background, and attendees will be introduced to the beautiful art of writing R / Python code to produce data visualization and build machine learning models. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.
If I don’t have any IT or programming skills, can I still attend this workshop?
Yes, you can still attend the workshop as it is a beginner-friendly workshop.
How to join the interactive-online learning class after I’ve done the payment & registration?
Our system will send you an email containing a link and details to join a Google Classroom.
What platform will be utilized for this online-interactive learning workshop?
Online learning will be conducted via Zoom.us, Link to join the Zoom Class will be announced via Google Classroom.
How will the participants receive the learning materials?
Learning materials can be obtain via Google Classroom
Would I receive a certificate after participating in the Workshop?
Yes, you will receive a certificate of completion.
A Data Science Instructor at Algoritma Data Science School who is proficient in Machine Learning implementation. She is a passionate Instructor with expertise in both R and Python programming languages. Wulan has been involved in numerous mentoring, data science projects, and consultative data science training for Bank Central Asia and Telkom.