Unveiling Socio Demographic Patterns: Exploring Data Panels in R
Utilize panel data for better decision-making, accurate modeling, and efficient problem-solving.
Utilize panel data for better decision-making, accurate modeling, and efficient problem-solving.
This course is designed for beginners who want to provide a comprehensive introduction to panel data processing in R. Participants will gain basic knowledge of R programming and panel data modeling concepts, from basic theory to practical applications. This in-depth journey will learn how to manipulate panel data, perform data exploration and most importantly for Socio Demographic Patterns, students will be given hands-on experience performing descriptive analytics with panel data models.
In this 3-day online training, participants will learn how to process and extract in-depth information from Socio Demographic Patterns using panel data analysis. By mastering these skills, participants will be prepared to apply their knowledge in academic, research and business environments. Ultimately, this course will empower participants to utilize panel data for better decision-making, accurate modeling, and efficient problem-solving.
NOTE: This workshop will be delivered in Bahasa Indonesia.
Upon completion of this workshop, you will be able to:
Introduction to Socio Demographic Patterns & Panel Data
Data Preparation and EDA
Modeling and Interpret the result
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.
Yusuf Rafsanjani is a data science instructor at Algoritma Data Science School with a robust educational background in statistics, providing a strong foundation for extracting insights from data through data visualization, assumption testing, and predictive model building using machine learning techniques. Proficient in R and Python programming languages.
With excellent communication skills, Yusuf excels in conveying complex concepts to learners, evidenced by his involvement as a team teacher in prestigious corporate training programs for companies such as Toyota Astra Motor, Bank DBS, Bank BRI, Bank HSBC, LAN RI, and KPU RI. he has successfully completed projects such as developing dashboards for operational algorithm teams to track and manage inventory requests efficiently.