Financial Scorecards are used widely in all financial organizations for different kinds of ratings. This workshop will take you through the building and validation process of a financial scorecard using data.Financial Scorecards are used by banking organizations to judge the financial stability of their portfolio and take business decisions. These scorecards help in tracking and collections.

This workshop is designed for audience to take them through the process of developing a scorecard using Python. The workshop will guide you through the EDA process using Python . We would cover basics of EDA and how python visualizations can support us in data mining. We aim to cover step by step process of building a scorecard and Use of different Machine Learning algorithms to build a better scorecard by comparing the outputs of different algorithms. We will demonstrate 3 different Machine learning algorithms Random Forest , Support Vector Machine and Gradient Boosting and their outcomes while building this scorecard.

Along the workshop we would introduce you to Python libraries that can be used to build these scorecards with more efficacy.

The key python libraries that we will be using will be Pandas , Numpy ,Scipy , Matplotlib and seaborn. We would demonstrate functions of these libraries used in building scorecards.

This will be a hands on session and attendees can come with their laptops for better understanding and follow up of session.

In today’s data economy and disruptive business environment, data is the new oil and data analysis with data visualization is vital for professionals and companies to stay competitive. Data Analysis and developing useful and interactive visualizations which provide insights may seem complex for a non -data professional. That should not be the case, thanks to various BI & data visualization tools. Tableau is one of the most popular one and widely used in various industries by individual users to enterprise roll out.

In this hands-on training session you will learn to turn your data into interactive dashboards, how to create stories with data and share these dashboards with your internal/external stakeholders. We will begin with practices for creating charts and storytelling utilizing best visual practices. Whether your goal is to explain an insight or let your audience explore data insights, using Tableau’s simple drag-and-drop user interface makes the task easy and enjoyable.

You will learn to use functionalities like Table Calculations, Sets, Filters, Parameters and predictive analytics using forecast functions . You will also learn mapping and other visual functionalities. We will demo few charts such as Waterfall charts, Pareto charts, Gantt Charts, Control Charts and Box and Whisker’s plot.

We will focus on data Visualization workflows and best practices using zen master techniques.

In these two training sessions ( 4 hours each, 8 hours total), you will learn to use data visualization and analytics software Tableau Public (free to use) and turn your data into interactive dashboards. You will get hands on training on how to create stories with dashboards and share these dashboards with your audience. However, the first session will begin with a quick refresher of basics about design and information literacy and discussions about best practices for creating charts as well as decision making framework. Whether your goal is to explain an insight or let your audience explore data insights, Tableau's simple drag-and-drop user interface makes the task easy and enjoyable. You will learn what's new in Tableau and the session will cover the latest and most advanced features of data preparation.

In the follow up second session, you will learn to create Table Calculations, Level of Detail Calculations, Animations and understanding Clustering. You will learn to integrate R and Tableau and how to use R within Tableau. You will also learn mapping, using filters / parameters and other visual functionalities.