codefinance.training

Coding for Finance

Course Organiser: Coursera

Tools for Data Science > IBM

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you’ll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.

What is Data Science? > IBM

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.

Machine Learning with Python > IBM

This course explores techniques and applications of machine learning using Python and has two main components:

  1. The purpose of Machine Learning and it’s applications in the real world.
  2. A general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.

The course covers real-life examples of Machine learning and shows you how it affects society in ways you may not have guessed!

With only a few hours study a week you get:

  • New skills for CV including regression, classification, clustering, sci-kit learn and SciPy
  • New application to demonstrate, including image classification detection, trend analysis and prediction, customer analysis, recommendation engines, and more.
  • A certificate in machine learning to prove your competency plus an IBM digital badge upon successful completion.