4.7 Read 3 reviews
Overview
Python for Finance - Investment Fundamentals and Data Analytics from Udemy is one of the most interesting and complete courses we have created so far. It took our team slightly over four months to create this course, but now, it is ready and waiting for you.
If you are a complete beginner and you know nothing about coding, don’t worry! We start from the very basics. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. And then, once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks.
And it gets even better! The Finance block of this course will teach you in-demand real-world skills employers are looking for. To be a high-paid programmer, you will have to specialize in a particular area of interest.
Students at Python for Finance - Investment Fundamentals and Data Analytics from Udemy will:
- Learn how to code in Python
- Work with Python’s conditional statements, functions, sequences, and loops
- Work with scientific packages, like NumPy
- Understand how to use the data analysis toolkit, Pandas
- Plot graphs with Matplotlib
- Use Python to solve real-world tasks
- Get a job as a data scientist with Python
- Acquire solid financial acumen
- Carry out in-depth investment analysis
- Build investment portfolios
Programme Structure
Courses include:
- Python Variables and Data Types
- Basic Python Syntax
- Python Operators Continued
- Conditional Statements
- Python Functions
- Python Sequences
- Using Iterations in Python
- Advanced Python tools
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- San Francisco, United States
Disciplines
Data Analytics View 179 other Short Courses in Data Analytics in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Who this course is for:
- Aspiring data scientists
- Programming beginners
- People interested in finance and investments
- Programmers who want to specialize in finance
- Everyone who wants to learn how to code and apply their skills in practice
- Finance graduates and professionals who need to better apply their knowledge in Python
Technological requirements
- You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course
- All software and data used in the course is free
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents175 USD / full≈ 175 USD / full - Out-of-State175 USD / full≈ 175 USD / full
-
Domestic
Applies to youIn-State175 USD / full≈ 175 USD / full
Funding
Improve page content