Learn end-to-end credit scoring, from business transactional financial data to the machine learning algorithms behind it.
The utilization of data analytics for credit and banking case development has improved and revolutionized decision-making by credit departments to add efficiency to policy-making. The utilization of the analytics field has been in use for many years. However, due to the dynamic nature of the banking system itself, the collection, processing and analysis of the data used was largely manual. This manual approach creates difficulties for the team. To overcome this problem, a method that is fast and dynamic and able to utilize the information optimally is needed. Machine Learning method is one of the answers to overcome this problem.
Behavior Scoring in the context of credit refers to a method of evaluating the financial and payment behavior of an individual or borrower. Behavior scores are used by financial institutions to assess the extent to which an individual is consistent in paying loans or other financial obligations. This score can provide insight into a borrower’s propensity to pay on time, pay more than expected, or may have a history of inconsistent payments.
This 3-day online workshop is a beginner-friendly introduction, you will learn end-to-end credit scoring using transactional financial data from business to the machine learning behind that.
NOTE: This workshop will be delivered in Bahasa Indonesia.
Upon completion of this workshop, you will be able to:
R Programming Basics
Logistic Regression
Tree-Based Methods & Ensembles Methods
Developing a Credit Scorecard
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.
Rany Dwi Cahyaningtyas ia a Senior Data Science Instructor with experience in programming languages such as R, Python, and SQL, she has demonstrated her expertise through leading various academic and corporate training sessions across a wide array of sectors, such as finance, banking, telecommunication, and retail. With a blend of technical expertise and a passion for education, Rany has been essential in delivering consultative training in data science to a wide array of esteemed clients and helped these companies make informed and strategic business decisions based on data.
PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
WhatsApp: 0816-692-471
Email: community@algorit.ma
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