Get My Python for Finance Course For 75% Off Today
I taught myself how to code when I was 18. To be honest, it was a brutal journey — late nights, an overwhelming amount of frustration, and way too much coffee.
I didn't have a roadmap. Instead, I wasted so much time trying to figure out the best place to start.
I built a wonderful career building Python application for companies in the finance, investing, and real estate industries. The entire time I couldn't stop thinking about how hard it was to get started...
That's why I created my Python for Finance course. This course will teach you everything you need to start building real-world Python projects to solve financial problems.
Join thousands of students by signing up now:
If you're not sold yet, keep reading this page to learn more about my Python for Finance course.
What is Python?
Before we go any further, let's go over the basics.
Python is a flexible, fast, and surprisingly simple programming language that's freely available and used by companies all over the globe. It's one of the most common (and therefore valuable) programming languages.
While Python is known for its succinct code, clear syntax, and cross-platform compatibility, this popular programming language offers so much more than that—especially for those who are interested in taking their programming skills to the next level.
The Average Python Programmer Salary in the US in 2020
According to Indeed, the average Python programmer rakes in an estimated $120,365 per year; the top three best-paid states for Python programmers included California, New York, and Washington D.C.
That's a nice chunk of change... but why are salaries so high?
According to a survey published by StackOverflow, Python was one of the most in-demand technologies of 2018 and 2019. I assume the same is true for 2020, too!
This means that Python developers are highly-paid because there is a large shortage.
You can help fix that...
Python Career Opportunities
Python is truly is an amazing programming language.
It's open-source, easy-to-learn (and easy-to-read), versatile, and used by beginners and experts alike. In fact, hundreds of successful companies use Python programming, including Google, Spotify, Instagram, and Netflix just to name a few.
Python is quickly becoming one of the best programming languages in the nation (and, the world)! With a Python certification, you could easily land any of the following jobs.
1. Python Developer
2. Product Manager
3. Data Analyst
4. Financial Advisor
5. Educator (Who knows? Maybe you'll be a Python programming language expert by the end of this!)
6. Data Journalist
7. Algorithms Expert
What are you waiting for? Sign up to learn Python today!
You don't need a fancy degree from Columbia Business School to become a skilled Python interpreter. In fact, leveling up from the beginners' league to an experienced programmer is easy. All you need is a strong internet connection, access to an awesome online course, and the proper course materials.
What's better news? I'm accepting new students for my one-of-a-kind Python Finance and Data Science course. It's also 50% off for the first 50 students who join. Sign up now!
Take a deep dive into the Python programming language.
Curious about what you'll learn in Python Finance and Data Science? Here's a shortlist of what the course covers:
- How to work with basic Python data structures like lists, tuples, and dictionaries
- How to write Python functions and classes
- How to import external libraries, allowing students the ability to create more functionality with less code.
- How to use the NumPy and Pandas libraries to deal with large data sets.
- How to import external datasets from places like the UCI Machine Learning Repository.
- How to handle missing data in a dataset.
- How to create and manipulate Pandas DataFrames, which are the most popular data science structure for handling large data.
If it's not obvious alreadyl, the skills taught in this Python course are more than enough to get you your first job in data science.
In addition to learning how to implement best practices into whatever applications you're working on, you'll also get access to more than 100 practice problems that test every concept taught in the course.
This is way more than just a Python tutorial. I have personally used the skills and free resources taught in this course to create a six-figure software development consultancy. Trust me—this course is worth way more than I'm charging for it.
If you're still unsure about whether this is the best Python course for you, here's a short list of what basic Python skills you'll be able to do by the course's end.
- Build interactive Python applications that work with massive data sets
- Create beautiful data visualizations that allow you to draw meaningful conclusions from complex data
- Be prepared for interviews for your first Python job
- Create complex functions and classes that solve real-world problems
What are you waiting for? Your first Python job is waiting.
If you're feeling a bit uneasy, don't worry. This isn't the only Python course I offer! In fact, I offer free online courses, too. If jumping into Python for Finance and Data Science isn't the best starting point for you, check out my introductory course: Python Fundamentals.
This awesome course gives anxious Python learners the skills they need to grasp basic concepts and gain an introductory knowledge of Python. (It's the perfect course for beginners!)
If you're new to the Python programming language, I definitely recommend looking into Python Fundamentals. Soaking up knowledge is the best way to get on the fast track (AKA the right track) to a new career, right? By the final week, you'll have a good idea about how Python knowledge can positively impact your professional trajectory.
Still not convinced? Check out what some of my previous students had to say.
"I was laid off from my job in retail due to the COVID-19 pandemic. Nick's course was the best thing for me to quickly level up my Python skills set and find a new (and much better paying) job writing Python for a financial institution."
"This was a great course. I've worked in finance my entire life but I knew nothing about different data types or computer programming until I signed up for Nick's course. I've now automated away some of the most mundane parts of my job, which has allowed me to focus on what really matters at work. In fact, I would say that a recent promotion was largely due to Nick's Python for Finance and Data Science course!"