FINANCIAL ANALYTICS WITH PYTHON

  • FINANCIAL ANALYTICS WITH PYTHON

    About the Course

    Participants will be introduced to the Python programming language for the purpose of performing financial analytics. Important topics covered include data types and structures, data munging, transformation, visualisation, time-series modelling, input / output operations, statistical application with python and working with EXCEL.

    Learners will also be exposed to the crucial Python scientific stack that are used by data scientists and will be provided with opportunities to solve financial data analytics problems.

    The course will cover the key pillars of analytics – descriptive analytics, predictive analytics and prescriptive analytics.

  • Course Outline

    1. Hands-on demonstration with Jupyter Notebook and Python
    2. Working with key data science libraries including NumPy, Pandas, Matplotlib, and Seaborn.
    3. Important topics covered include data types and structures, data munging, transformation, visualisation, time-series modelling, input / output operations, statistical application with python and working with EXCEL.
    4. The course will include financial examples.

  • Target Participants

    Suitable for finance professionals, entrepreneurs, investment professional, technologist who are looking to gain deep skills in Artificial Intelligence.

  • Certification

    Certificate of Completion

  • Admission Requirements

    No minimum entry requirement

  • Course schedule (conducting days & time)

    E-Learning (Self-paced)

    Course fee payment provides 180 days of course access.

    Certificate will be awarded upon successful completion within the 180 days.

  • What You'll Study

    FINANCIAL ANALYTICS WITH PYTHON
  • Course Fees and Funding

    Please refer to course brochure.

  • Contact for course enquiries

  • Remarks

    NYP reserves the right to reschedule/cancel any prog and amend the fees/info without prior notice