Python for Data and Finance
- Beginner
- 18 and older
- $1,250
- Earn 12,500 reward points
- 185 Madison Ave, New York, NY
- 20 hours over 4 sessions
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Python for Data and Finance is a comprehensive course with an emphasis on the practical application of Python to data analysis. Initially developed for Wall Street professionals, this course quickly became popular among people who crunch numbers, analyze big data and simply want to switch from spreadsheets to the faster and more efficient Python programming language.
Starting from scratch we will build a foundational understanding of the Python programming language. Afterwards we will gain understanding of NumPy and Pandas, Python libraries heavily used in data analysis and finance. Finally, we will cover Matplotlib, an essential tool for data visualization.
The main goal of the Python for Data and Finance course is to acquire a modern tool for data analysis and shift from spreadsheets to Python. We spend a great deal of time on gathering data from different sources like Excel, the Web and APIs and manipulating information to solve real-life challenges. During this course we use practical examples, so you can apply Python to daily tasks at work. We are proud to say that many financial giants have used Python for Data and Finance to give their workforce a competitive edge.
What to expect from this program:
Fundamental introduction to Data Science using Python programming language, practical application of different statistical, analytical and linear algebra models to a variety of data science projects, and feeling comfortable enough to apply acquired knowledge on your own seeking a junior data scientist position.
You will learn:
Preparation: Laptop
Python for Data Science Syllabus:
Session 1
Session 2
Session 3
Session 4
To reschedule or cancel, email us at [email protected]
All courses include a non-refundable registration fee (10% of the undiscounted course price).
Note: Any refunds must be requested within 180 days from the original payment date; courses rescheduled within 11 business days of the start date are not eligible for refunds.
Students who have taken classes at Python for Data and Finance have generally positive things to say about their experience. Many students find the class to be intense and challenging, but also valuable and worth the money. The small class sizes allow the instructor, Art, to ensure that everyone is on the same page and provide individual attention. Students appreciate that Art follows up after the class to see how their learning is going and is always available to help with any questions. The class provides a strong foundation for learning and developing Python skills, particularly in the context of data science and finance. Students say they have learned new things and more efficient ways to manage data, and they feel more confident in exploring scripting and customization in their work. Overall, students appreciate the structure, content, and hands-on approach of the classes at Python for Data and Finance. Direct quotes: - "I learned more than I expected...now I am confident to explore more into the scripting and customization of applications." - "Great content, pace, rigor, and hands-on instructor." - "Art is an expert in Python programming...I especially liked various projects we were working on during the classes."
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Get quick answers from CourseHorse and past students.
Practical Programming classes and workshops for everyone who wants to learn how to code from scratch or practice Python. You will learn how to start using Python, problem solving with algorithms and make dynamic web applications.
No coding experience needed, anyone who would like to learn how to code...
Read more about Practical Programming
This school has been carefully vetted by CourseHorse and is a verified NYC educator.
Practical Programming
Midtown, Manhattan
185 Madison Ave 3rd Fl
Btwn E 34th & E 35th Streets
New York, New York 10016 Midtown, Manhattan
185 Madison Ave 3rd Fl
Btwn E 34th & E 35th Streets
New York, New York 10016
We are located in New York City on 34th street and Madison Avenue, a few blocks from Penn Station, Port Authority and Times Square. You may also attend this class live online (virtual training) via Zoom. We will reach out with additional information, including the Zoom info and class files.
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