Python for Finance with Intro to Data Science

Python for Finance with Intro to Data Science

Course Details

Location
Online
Length
12 weeks
Times
Self-paced
Cost
$1,250
Enroll today14 day money-back guarantee* Questions first?

Overview

Whether you're new to coding, have some Python experience, or are a programming expert, this course is designed for you. You'll gain hands-on Python skills and develop real-world projects with the support of a personal TA for guidance and detailed code reviews.

Master Python with a focus on practical applications in Finance, Financial Engineering, and Data Science. Taught by industry experts, this course uses advanced tools like PyCharm, Anaconda, and Jupyter Lab for efficient and effective learning.

Highlights

  • Intro to Data Science

    Using the cutting-edge JupyterLab environment, the course covers tabular data using Pandas/NumPy in depth, and demonstrates data visualization using packages such as Matplotlib and Plotly. The course also provides a brief, high-level introduction to Machine Learning packages in Python.

  • Tips, Tricks, and Pitfalls

    In addition to the course videos and material, there are ever-evolving pointers provided with valuable tips on how to code in a production environment, and common pitfalls to avoid.

  • Midterm Case Study

    In addition to the rigorous exercises, the midterm case study ties together all the Part 1 concepts into a highly practical project in Asset Backed Security modeling.

  • Personal Support

    Each student is assigned a personal Teaching Assistant who will provide timely detailed and practical feedback on all code. Instructors are practitioners in finance with years of industry experience.

Exam and Certification

The final exam is proctored online by the TA. Upon successful completion of the course, a Certificate of Completion will be awareded to students who pass the final exam and obtain a 70% or higher average. A Certificate of Completion with Distinction will be awarded to students with 90% or higher average.

  • Published
    7/7/20
  • Page views
    75,170
Back
Top Bottom