Credit Risk Analytics Full Stack

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1678
students

At some level or the other we all associate with financial institutions, be it a consumer, a stakeholder or an employee. Post the Global Financial Crisis, every economy has become more thoughtful of the decisions involving finance.  There is a lot of intelligence involved in how the Banks today make their lending decisions be it to an individual or to a corporate body.

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Credit Risk Analytics Full Stack Recorded Content + Live Mentor Sessions

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$799 $599

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About Credit Risk Analytics Full Stack Course

This comprehensive twenty hour program is meant for the committed learners of Credit Risk Analytics subject. In this course, over and above the pre-recorded content, you have an option to connect with a mentor during live doubt clearing sessions hosted every month.

This course includes everything covered in the Credit Risk Analytics Foundation Course, plus, it introduces many more complex retail datasets and it expands into the corporate lending scenarios.

What will you learn in this course?

This Full Stack program covers concepts and applications of most advanced machine learning algorithms including Neural Networks and Boosting techniques. We do an in-depth coverage of model evaluation techniques. In addition to the Probability of Default (PD) models, you get to take a closer look at the Exposure and Default (EAD), and Loss Given Default (LGD) models. Finally you learn to estimate the Expected Loss estimation through the predicted components such as PD, LGD and EAD.

Who should do this course?

This course is most suitable for:

  • Banking and Financial Services professionals working in the area of Credit Risk Management
  • Risk management consultants
  • Data Analysts who wish to develop domain specific skills
  • Analytics enthusiasts who are comfortable with at least of the tools such as R, Python and SAS

What are the skills you will gain with this course?

Everything covered in the foundation course, plus, you will learn to apply:

  • Dimension reduction using Principal Component Analysis, Factor Analysis
  • Dealing with low default portfolios
  • Default correlations
  • Credit risk modeling techniques Random Forest, KNN, Naïve Bayes’, Neural Networks, Bagging and Boosting.
  • Model evaluation methods
  • Stress Testing

What are the pre-requisites of this course?

If you are new to both Credit Risk and Analytics, you should have completed our Credit Risk Analytics Foundation Course.

Credit Risk Analytics Full Stack Curriculum

  • Introduction to Credit Risk 2

    • Lecture1.1
    • Lecture1.2
    • Lecture1.3
    • Lecture1.4
    • Lecture1.5
  • Statistics Foundation 2

    • Lecture2.1
    • Lecture2.2
    • Lecture2.3
    • Lecture2.4
    • Lecture2.5
  • Introduction to Analytics 0

    • Lecture3.1
    • Lecture3.2
    • Lecture3.3
    • Lecture3.4
  • Introduction to R 0

    • Lecture4.1
    • Lecture4.2
    • Lecture4.3
    • Lecture4.4
    • Lecture4.5
  • Exploratory Data Analysis 0

    • Lecture5.1
    • Lecture5.2
    • Lecture5.3
  • Scorecard Development 4

    • Lecture6.1
    • Lecture6.2
    • Lecture6.3
    • Lecture6.4
  • Default Correlations and Credit Portfolio Risk 3

    • Lecture7.1
    • Lecture7.2
    • Lecture7.3
  • PD, LGD and EAD Modeling 11

    • Lecture8.1
    • Lecture8.2
    • Lecture8.3
    • Lecture8.4
    • Lecture8.5
    • Lecture8.6
    • Lecture8.7
    • Lecture8.8
    • Lecture8.9
    • Lecture8.10
    • Lecture8.11
  • Stress Testing 5

    • Lecture9.1
    • Lecture9.2
    • Lecture9.3
    • Lecture9.4
    • Lecture9.5
  • Credit Risk Analytics Full Stack Certification

    Edazon trained participants work for some of the best organizations, below is a glimpse:


    Your Name

    Credit Risk Analytics Full Stack

    Program Director

    Course Instructor

    01/01/2020

    #1234567

    Credit Risk Analytics Full Stack Features

    Self-paced pre-recorded content : 20 hours

    Learn as you find it convenient, access your course material anywhere anytime.

    Case studies : 6

    It is the application of what you learn that matters. Learn about how your skill is applied to solve real problems.

    On demand mentor connect : 180 min

    Get your queries answered by a mentor during live interactions.

    Lifetime access

    You will always have access to this course and its subsequent updates.

    Quizzes : 4

    Test you proficiency.

    Graded assignments: 1

    Get custom feedback on your submitted assignments.

    Credit Risk Analytics Full Stack Reviews

    Average Rating

    5
    1 rating

    Detailed Rating

    5 stars
    0
    4 stars
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    3 stars
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      This comprehensive twenty hour program is meant for the committed learners of Credit Risk Analytics subject. In this course, over and above the pre-recorded content, you have an option to connect with a mentor during live doubt clearing sessions hosted every month.

      This course includes everything covered in the Credit Risk Analytics Foundation Course, plus, it introduces many more complex retail datasets and it expands into the corporate lending scenarios.

      Course Features

      • Lectures 45
      • Quizzes 0
      • Type Recorded Content + Live Mentor Sessions
      • Case Study & Quizzes Yes
      • Articles 8
      • Certificate of Completion Yes
      • Duration 20 Hours
      • Skill level Beginner
      • Language English
      • Students 1678
      • Certificate No
      • Assessments Yes
      • Introduction to Credit Risk 2

        • Lecture1.1
        • Lecture1.2
        • Lecture1.3
        • Lecture1.4
        • Lecture1.5
      • Statistics Foundation 2

        • Lecture2.1
        • Lecture2.2
        • Lecture2.3
        • Lecture2.4
        • Lecture2.5
      • Introduction to Analytics 0

        • Lecture3.1
        • Lecture3.2
        • Lecture3.3
        • Lecture3.4
      • Introduction to R 0

        • Lecture4.1
        • Lecture4.2
        • Lecture4.3
        • Lecture4.4
        • Lecture4.5
      • Exploratory Data Analysis 0

        • Lecture5.1
        • Lecture5.2
        • Lecture5.3
      • Scorecard Development 4

        • Lecture6.1
        • Lecture6.2
        • Lecture6.3
        • Lecture6.4
      • Default Correlations and Credit Portfolio Risk 3

        • Lecture7.1
        • Lecture7.2
        • Lecture7.3
      • PD, LGD and EAD Modeling 11

        • Lecture8.1
        • Lecture8.2
        • Lecture8.3
        • Lecture8.4
        • Lecture8.5
        • Lecture8.6
        • Lecture8.7
        • Lecture8.8
        • Lecture8.9
        • Lecture8.10
        • Lecture8.11
      • Stress Testing 5

        • Lecture9.1
        • Lecture9.2
        • Lecture9.3
        • Lecture9.4
        • Lecture9.5

      Reviews

      Average Rating

      5
      1 rating

      Detailed Rating

      5 Star
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      What will be the mode of teaching?

      Can you explain the benefits of the Edazon’s mentor led sessions?

      Can I enroll in this program if I don’t have any prior knowledge of Credit Risk & Analytics?

      Do I need to have an IT / Computer Science / Engineering background to do the program?

      Do I need to have an Economics / Mathematics / Statistics background to do the program?

      What kind of projects are included as part of the training?

      If I enroll today, when shall I get access to the course?

      Who are the instructors?

      What if I have more queries?

      Credit Risk Analytics Full Stack FAQs

      What will be the mode of teaching?

      Edazon offers Credit Risk Analytics Full Stack course in blended mode, learners go through the pre-recorded content and have an option to attend 3 hours of live mentor-led doubt clearing sessions at different stages.

      Can you explain the benefits of the Edazon’s mentor led sessions?

      Mentor led sessions help you connect better with the topics covered by getting answers to your queries. These are very engaging sessions where additional examples are covered.

      Can I enroll in this program if I don’t have any prior knowledge of Credit Risk & Analytics?

      Yes, all our courses are designed keeping in mind diverse backgrounds of learners. Analytics is a techno-functional area wherein one needs to understand the business processes and apply desired modelling techniques on relevant data in order to facilitate better decision making.

      Do I need to have an IT / Computer Science / Engineering background to do the program?

      No. The training module is developed to help you learn right from the basics to advanced knowledge. Having an IT / Computer Science / Engineering background can be an added advantage to help you grasp faster. However, the program doesn’t require you to have such knowledge as a prerequisite.

      Do I need to have an Economics / Mathematics / Statistics background to do the program?

      No. The training module is developed to help you learn right from the basics to advanced knowledge. We start right from mean, median, mode, etc. Having an Economics / Mathematics /Statistics background can be an added advantage to help you grasp faster. However, the program doesn’t require you to have such knowledge as a prerequisite.

      What kind of projects are included as part of the training?

      Edazon is offering you the most updated, relevant case studies as a part of this training program. This way you can implement the learning that you have acquired in a real-world industry setup. These practice case studies thoroughly test your skills, learning and practical knowledge thus making you completely industry-ready.

      If I enroll today, when shall I get access to the course?

      As soon as you enroll, the entire curriculum will be added to your account. Edazon provides its learners with immediate and lifetime access to every course

      Who are the instructors?

      All the instructors at Edazon are practitioners from the Industry with a minimum 10-12 yrs of relevant experience. They are subject matter experts and are trained by Edazon for providing an awesome learning experience to the participants.

      What if I have more queries?

      You can Call us at +91 98765 53336 (India) / +1 (214) 556-3336 (US) OR Email us at info@edazon.com. We shall be glad to assist you

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