
Explore numpy fundamentals by creating identity matrices, reshaping arrays, and using indexing techniques, including zero- and negative-indexing, and slicing to access elements.
Explore descriptive statistics in Python for finance, calculating mean, standard deviation, min and max, and sorting data in ascending and descending orders to analyze datasets.
Merge and join data frames in pandas, specify your variables, and control left or right joins to combine datasets.
Explore data visualization using math, learning about variables, ranges, exponential of x, and logarithmic ideas, with upcoming tutorials guiding you through practical examples.
Explore clustering to analyze data ranges and generate pie charts and scatterplots with labeled axes, revealing insights from the data.
Part 3 explores handling random variables, constructing x and y data, and using box plots to visualize outliers, all within a data visualization framework for finance analytics in Python.
Discover building a deep Q-learning agent for finance and algorithmic trading, including data prep, state and action definitions, memory, epsilon-greedy exploration, and neural network training with gradient descent.
Define BLT fixings and set block dimensions, plot value and calories, create a first buy signal, review close prices, show total gains, and render the final visualization.
Would you like to explore how Python can be applied in the world of Finance?
Would you like to learn how to apply machine learning using python in finance?
Would you like to learn how to apply deep learning using python in finance?
Would you like to learn how to apply reinforcement learning using python in finance?
Would you like to learn about algorithmic trading using python?
If so, then this is the right course for you!
We are proud to present python for finance-machine learning and algorithmic trading – one of the most interesting and complete courses we have created so far.
An exciting journey from Beginner to Pro.
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 basic Python skills. And then, once we have covered the basics, we will be ready to tackle various parts of algorithmic trading and working with financial data.
Finance Fundamentals.
And it gets even better! The Finance part 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. In this course, we will focus on Finance, covering many tools and techniques used by finance professionals daily:
Everything is included! All these topics are first explained in theory and then applied in practice using Python. This is the best way to reinforce what you have learned.
This course is great, even if you are an experienced programmer, as we will teach you a great deal about the finance theory and mechanics you will need if you start working in a finance context.
Teaching is our passion.
Click 'Buy now' to start your learning journey today. We will be happy to see you inside the course.