Additional Notes

LOVE this. Manage a fundraising event for a local farmers market

This course is designed to give you the fundamentals of Project Management. You will learn the basic principles of Project Management by managing a fundraising event for your local farmers market. You will designate responsible team members to help you, build a timeline and see the different ways that you can manage the project. Together, we will walk through not only the documentation, but also the theories and reasoning behind each task. You will learn how to look at a large project and break it down into manageable pieces and then how to build an action plan so that you hit your deadlines with your team.

By the end of the course, you will have created a Project Scope document, Stakeholder Responsibility Matrix, sequenced a task list, added task owners, and a explored several popular project views using Project Management software. You will be ready to tackle a project on your own or will be equipped to take a higher-level course in Project Management.

Interesting. NOTE - recommended to take Azure Machine Learning studio first. This course uses the Adult Income Census data set to train a model to predict an individual's income. It predicts whether an individual's annual income is greater than or less than $50,000.

linear regression, Python, pandas

use popular Advertising data set to predict sales revenue based on advertising spending through mediums such as TV, radio, and newspaper

Education, Business, Technology

Marketing, Web Development

By the end of this project, you will create a blog site with a home page and initial blog post using a free content management system, WordPress. You will be able to create a business blog with the look and feel of a website complete with options for e-commerce plugins. You’ll have a virtual space to showcase your business with customers who want to stay connected

Business, Technology

Business, Finance

n this 1-hour long project-based course, you will learn how to compare the performance of different securities using financial statistics (normal distributions) and the Google Sheets toolkit to decide which one performed the best in terms of risk-to-return (risk-to-reward) metrics. This will teach you how basic risk management using quantitative analysis is done and is applied in calculating mean returns of the stock, variance, standard deviation, the Sharpe ratio, and Sortino Ratio.

Business, Human Resources

Machine Learning Foundation

In this 2-hour long project-based course, you will learn how to implement Linear Regression using Python and Numpy. Linear Regression is an important, fundamental concept if you want break into Machine Learning and Deep Learning. Even though popular machine learning frameworks have implementations of linear regression available, it's still a great idea to learn to implement it on your own to understand the mechanics of optimization algorithm, and the training process. Since this is a practical, project-based course, you will need to have a theoretical understanding of linear regression, and gradient descent. We will focus on the practical aspect of implementing linear regression with gradient descent, but not on the theoretical aspect.

In this beginner project we will give you an introduction to using Android Studio and will facilitate you gaining the confidence and knowledge to begin your journey in the world of Android Development. By the end of this course you will have built an app in Android Studio using Java and will have uploaded your APK to Appetize. You will learn how to test your app on the Appetize platform. In this app you will build buttons, a TextView, an EditText, and dialog boxes. We will also cover using AVD Manager to create virtual devices that could be used to test applications in Android Studio.

Technology, Banking

By the end of this project, you will learn how to create a basic banking command-line application using Java and Eclipse. This application will be able to model real life bank functions such as adding an account, increasing/decreasing the balance of an account, and allowing a user to check their balance. We will also learn how to store basic demographic information of each account holder and learn how to output a summary of all accounts. This application will demonstrate standard programming paradigms, and teach students about essential programming concepts such as variables, commenting, input and output to the user with the Scanner class, and importing/using standard Java libraries. We will also cover more powerful concepts such as conditional statements, loops, and arrays. Students can expect to walk away from the course confident in their ability to use essential Java programming tools, with a basic working understanding of how Java functions.

In this 1-hour long project-based course, you will be able to: - Understand the theory and intuition behind Facebook times series forecasting tool - Import Key libraries, dataset and visualize dataset - Build a time series forecasting model using Facebook Prophet to predict future product prices - Compile and fit time series forecasting model to training data - Assess trained model performance

In this 1-hour long project-based course, you will learn how to create a simple linear regression algorithm and use it to solve a basic regression problem. By the end of this project, you will have built, trained, tested, and visualized a Regression model that will be able to accurately predict the salary of a data scientist if provided with some information about years of experience.

NOTE: Take Compare Stock Returns with Google Sheets before this one

In this 1-hour long project-based course, you will learn how to optimize a two-asset portfolio at the optimum risk-to-return with finding the maximum Sharpe ratio. To achieve this, we will be working around the Sharpe ratios of two given assets, we will find the efficient frontier of these assets, and find where they intersect the best by utilizing the Markowitz Model. The content of this course draws on the knowledge of Project: Compare Stock Returns with Google Sheets, so you are highly recommended to take it first if you are not familiar with how the Sharpe ratio is calculated and don’t have an understanding of how the risk-to-return metrics work.