Further Develop your Child’s Structured Thinking Process with Python
Taking Mathematical Simulations to the next level, students who have completed S101 and done at least 10 hours of lab practice in S100P will now be performing even more Monte Carlo Simulations, experimenting with Probability, and practicing statistical modelling.
This course furthers their understanding of Python (Consistently ranked #1 as the “Most Popular Coding Language“), introducing them to concepts such as Functions, Lists, and Strings. Students will be expected to apply programming to model Mathematical simulations. Improving code efficiency will play a huge part in this module.
This powerful pairing of Math and Programming not only allows your child to build a solid foundation in both but also most importantly, to understand how Math is applicable in the Real World.
Our proprietary curriculum, developed by Coding Lab’s Award-Winning team of curriculum advisors has been tested in selected MOE schools in Singapore and is based on the GCE “O” Level and “A” Level Mathematics curriculum.
Undercover the dos and don’ts for your internal rating tool and consider the rating agencies’ modus operandi.
Training objectives:
Analyse sovereign debt issuance in today’s capital markets
Interpret macroeconomic and other quantitative data which impact sovereign credit ratings
Integrate qualitative risk factors into the risk assessment
Differentiate the rating methodologies for supranational agencies from those of sovereign obligors
Appreciate how the rating agencies assess risks
Discuss the UN principles on distressed sovereign debt recovery and legal process
Define situations of default with respect to international (external) sovereign debt and domestic sovereign debt
State how investors can predict improvements and deteriorations in sovereign credit quality
Introduction: The seminar identifies relevant approaches of credit analysis that are useful to incorporate in a financial institution’s own internal rating tool. Further, this enables participants to deepen their expertise about credit risk for global banks and sovereign obligors. Covering Standard & Poor’s, Fitch and Moody’s methodologies helps participants identifying general trends on each of the entities’ rating factors and qualitative adjustments. Through detailed case studies participants will be able to analyse how rating agencies apply their own criteria, and especially which questions remain unanswered in public rating reports. Further, participants will develop skills to read between the lines in rating reports in order to fully being able to form their own informed opinions about credit risk of sovereigns and financial institutions of their interest. Know-how about the rating agencies’ modus operandi will be transformed into practical tips about how internal ratings tools should assess credit risk and which factors need to be taken into account to what extent, when analysing banks and sovereigns. The seminar further discusses also the availability of validated data, so that participants instantly know where to find the right underling information for each of the rating factors, taking into account qualitative as well as quantitative data. Overall this seminar leads participants to keep track of probability of default and helps to conceive an informed opinion about counterparties’ creditworthiness. This again, helps improve a financial institution’s own internal rating tool, make it more robust and exceptionally forward-looking. Starting position: International rating agencies assess sovereign credit risk according to their own methodologies and criteria. Consequently, even taking into account the same set of hard fact data, rating outcomes may vary significantly from one rating agency to another. The large number of rating factors, and the complex interrelationships between various entities’ ratings, taking into account different sectors such as financial institutions and local governments, make it very difficult to track rating decisions and almost impossible to predict them. Implementation: The two-day seminar deals on one hand with the individual rating factors and thus the basic sovereign rating criteria, on the other hand practical examples in form of detailed case studies for rated sovereigns will lead participants to in-depth knowledge of the rating agencies’ world of credit risk. In addition, the seminar discusses a selection of current ratings, in order to compare them qualitatively and quantitatively. Furthermore, the seminar covers current events and evaluates how they might impact specific sovereigns’ credit risk and how one can incorporate useful rating factors in each own’s internal rating tool. Added value: The aim of the seminar is giving participants a thorough analytical perception of sovereign credit risk and discussing how they interrelate with ratings of other sectors (e.g. banking system, local governments, etc). The detailed work on case studies allows participants to break down far-reaching events for sovereigns to a single credit rating and use the knowledge for each individual own purpose. By guiding the participants through the various sovereign rating methodologies, the seminar explains how rating agencies work in detail and how they derive their rating decisions. This facilitates the participants to anticipate rating changes and initiate appropriate measures on a timely basis.
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We are providing Python online training in our institute NareshIT. We are having the best and well trained experienced faculty to train you the python. By joining in this course you will get complete knowledge about python. we are giving 100% guidance in placement for our students.
Python is a high-level programming language designed to be easy to read and simple to implement. It is open source, which means it is free to use, even for commercial applications. ... Python is considered a scripting language, like Ruby or Perl and is often used for creating Web applications and dynamic Web content.
course objective :
After completion of the python online training at Naresh I technologies, you will be expertise and eligible for:
Complete knowledge on Python
Learn how to use lists, tuples, loops, decision statement, etc. in python
Build packages in Python
Working with Exception handling, Inheritance
Work independently in Project with scripting and Automation
What is Python and why Python?
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. ... Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.
What is Python theory?
Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace.
What is the main use of Python?
Python is a general purpose and high level programming language. You can use Python for developing desktop GUI applications, websites and web applications. Also, Python, as a high level programming language, allows you to focus on core functionality of the application by taking care of common programming tasks.
What is special about Python?
Python is a general-purpose language, which means it can be used to build just about anything, which will be made easy with the right tools/libraries. Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. ... Connect with our Python experts now!
Where is Python used in real life?
The programming language is used globally to design and build 2D imaging software like Inkscape, GIMP, Paint Shop Pro, and Scribus. Also, Python is used in several 3D animation packages such as Blender, Houdini, 3ds Max, Maya, Cinema 4D, and Lightwave, to name a few.
How is Python used in government?
Python is widely-used across financial institutions, whether they are hedge funds, large banks or regulators (see "Government Agencies" section below). ... Salaries and responsibilities vary widely based on the role and whether Python is used for data analysis, web application development or DevOps.
Why is Python so popular?
More Productive. First and foremost reason why Python is much popular because it is highly productive as compared to other programming languages like C++ and Java. ... Python is also very famous for its simple programming syntax, code readability and English-like commands that make coding in Python lot easier and efficient
What are the basic concepts of Python?
Basic Data Types - Learn the five types: strings, tuples, lists, dictionaries, and integers. Operators - Python operators - basically, ways to do things. Flow Control - By using Boolean expressions, flow control, and loops, you'll learn how to code logic into your program.
Will Python be used in the future?
Python itself reveals its success story and a promising future ahead. Python programming language is best used for application development, web application or web development, game development, system administration, scientific computing, etc.
What is the demand for Python programmers?
Python developers are in high demand - not only because the language is so popular and widely used but mostly due to the fact that Python became a solution in many different areas. From web applications to data science and machine learning. However, it is not enough to just master the language itself.
What does a Python developer do?
Python Developer writes server-side web applications when working as a Web Developer. They also develop various back-end components to connect the web application to web services and more. Basically, a Python Developer develops, deploys, and debugs a project.
Are Python developers in demand?
Python developers are in high demand - not only because the language is so popular and widely used but mostly due to the fact that Python became a solution in many different areas. From web applications to data science and machine learning.Surprisingly, that might be the easiest step in becoming a Python developer
How much does Python developer make?
The entry-level Python developer salary in the US is $78,176 a year on average, The average junior Python developer salary is $89,776, The mid-level Python developer salary reaches $$111,896, While the senior Python developer earns $122,093 on average.
Why we have to choose NareshIT?
• Real Time Trainers
• 100% Placement Assistance
• Small Training Batch
• Flexible Timings
• Practical Guidance
• Excellent Lab Facility
• Resume Preparation
• Hands on Experience
• Certification Support
For Details :
• Email Id : onlinetraining@nareshit.com
• Contact : +91 8179191999
• Website : https://nareshit.com/python-online-training/
• REGISTER HERE : https://goo.gl/HIB0wL
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