Our Courses

Deploying Machine Learning Models

Deploying Machine Learning Models

In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. By the end of this course, you should be able to implement a working recommender system (e.g. to predict ratings, or generate lists of related products), and you should understand the tools and techniques required to deploy such a working system on real-world, large-scale datasets.

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  • 11 hours
  • English
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Machine Learning with PySpark: Customer Churn Analysis

Machine Learning with PySpark: Customer Churn Analysis

This 90-minute guided-project, "Pyspark for Data Science: Customer Churn Prediction," is a comprehensive guided-project that teaches you how to use PySpark to build a machine learning model for predicting customer churn in a Telecommunications company.

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  • 3 hours
  • English
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Code Loops in COBOL

Code Loops in COBOL

In this project, you will enhance your COBOL skills by learning to incorporate loops into your COBOL code.

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  • 2 hours
  • English
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Juniper Networks Automation Using Python and PyEZ

Juniper Networks Automation Using Python and PyEZ

This course will introduce you to fundamental concepts of a programming language called Python. After introducing you to Python concepts, the course describes how to apply those concepts to network automation using Junos PyEZ, a free Python library from Juniper Networks. This course demonstrates using Python and Junos PyEZ to automate the management of Junos OS devices.

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  • 4 hours
  • English
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Java Servlet Pages (JSPs)

Java Servlet Pages (JSPs)

This course will provide an overview of JSP and show the power of using Scripting Elements. Additionally, key JSP Directives are covered. We’ll do an overview of JSP Tags and introduce how to create and access Java Beans to manipulate their properties. We explore JSP Expression Language, examining the rules, syntax, and the most commonly used implicit objects. We also cover standard tags and JSTL.

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  • 16 hours
  • English
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The Final Solution to the Jewish Question

The Final Solution to the Jewish Question

The "Final Solution to the Jewish Question" was the official code name used by Nazi German authorities for the planned annihilation of Jews during World War II. This course focuses on the origins, evolution, and implementation of this deadly operation which led to the murder of six million Jews by the Nazis and their collaborators.

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  • 12 hours
  • English
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Mastering Data Analysis with Pandas: Learning Path Part 3

Mastering Data Analysis with Pandas: Learning Path Part 3

In this structured series of hands-on guided projects, we will master the fundamentals of data analysis and manipulation with Pandas and Python.

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  • 2 hours
  • English
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Running Windows Containers on Compute Engine

Running Windows Containers on Compute Engine

This is a self-paced lab that takes place in the Google Cloud console.
In this lab you will learn how to create a virtual machine with Microsoft SQL Server installed. You’ll also create a Windows user and password and learn how to connect to the Windows Server via remote desktop.

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  • 1 hour
  • English
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Command Line Tools for Genomic Data Science

Command Line Tools for Genomic Data Science

Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

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  • 12 hours
  • English
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Python and Statistics for Financial Analysis

Python and Statistics for Financial Analysis

Course Overview: https://youtu.be/JgFV5qzAYno
Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.
By the end of the course, you can achieve the following using python:
- Import, pre-process, save and visualize financial data into pandas Dataframe

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  • 13 hours
  • English
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Predict Visitor Purchases with a Classification Model in BQML

Predict Visitor Purchases with a Classification Model in BQML

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use a newly available ecommerce dataset to run some typical queries that businesses would want to know about their customers’ purchasing habits.

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  • 1 hour
  • English
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Introduction to Software Product Management

Introduction to Software Product Management

This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software.

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  • 5 hours
  • English
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Neural Basis of Imagination, Free Will, and Morality

Neural Basis of Imagination, Free Will, and Morality

This course deals with the neural basis of imagination, free will, and morality.
In module one of the course, you will explore the evidence of imagination derived from artifacts.
This module examines the brain changes that caused the innovativeness of human imagination. The relation between the first and the second-order desires and free will also be discussed.

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  • 6 hours
  • English
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Practice Exam for Certified Scrum Master (CSM) Certification

Practice Exam for Certified Scrum Master (CSM) Certification

This course provides an overview of the Scrum Alliance Certified Scrum Master (CSM) certification. We will share the process required to qualify for the exam, specific education requirements, and exam specifics. We will wrap up the course with a 50-question mock exam designed to prepare you for the CSM certification test.
Becoming a CSM is the beginning of your Agile journey and the first step along a path of continual learning. Passing the CSM examination can open many doors, and this course will ensure you are more than ready to achieve a passing score.

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  • 3 hours
  • English
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Lymphoedema: Monitoring & Intervention After Breast Cancer

Lymphoedema: Monitoring & Intervention After Breast Cancer

Lymphoedema following breast cancer treatment is a poorly understood and under-researched condition which can significantly impact physical and psychological function, reduce quality of life and result in substantial cost burdens to both patients and the healthcare system.
In these interactive modules we will cover an introduction to lymphoedema, lymphatic physiology and anatomy, assessment and treatment, as well as utilise case studies to understand the prospective surveillance and early intervention model of care in breast cancer rehabilitation.

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  • 8 hours
  • English
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Digitalisation in Aeronautics

Digitalisation in Aeronautics

The instructors of the online course "Digitalisation in Aeronautics" present a spectrum of different aviation research and application areas, exploring the impact of digitalisation in this specific field, including the effects of digitalisation in simulating the interaction of aircraft components, in overall aircraft development and related decision-making and in the communication channels used within aircraft. A broad and varied range of applications and digital solutions are explored in detail in the individual modules of this course.

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  • 10 hours
  • English
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How to integrate apps on Canva

How to integrate apps on Canva

This project allows you to integrate various applications on Canva, which you can then use in your graphic creations.

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  • 1 hour
  • English
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Get Organized: How to be a Together Teacher

Get Organized: How to be a Together Teacher

This course is designed for classroom teachers who juggle time-sensitive tasks and often-exhausting teaching schedules. With an eye toward long-term sustainability, The Together Teacher examines the purpose for planning ahead, provides tools for tracking time commitments, deadlines and tasks, and helps teachers develop a personal organization system that interacts with their day-by-day practices.

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  • 8 hours
  • English
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Machine Learning Basics

Machine Learning Basics

In this course, you will:
a) understand the basic concepts of machine learning.
b) understand a typical memory-based method, the K nearest neighbor method.
c) understand linear regression.
d) understand model analysis.
Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

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  • 15 hours
  • English
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Poverty & Population: How Demographics Shape Policy

Poverty & Population: How Demographics Shape Policy

This course has four modules, or foci. The first is to understand the categories of social welfare—populations, income, earnings, and assets— and some related concepts that play a very large role in shaping policy decisions: unemployment, inflation, and the minimum wage. The second deals with the central institution of social welfare—the labor market, which largely determines how many resources a person has. The labor market also establishes hierarchy, both through meritocracy and through categories of privilege.

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  • 12 hours
  • English
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Forecasting Financial Statements & Valuation for Accountants

Forecasting Financial Statements & Valuation for Accountants

The objective of this course is to provide you with the knowledge and skills necessary to analyze, interpret, understand and use financial information to make informed decisions. We will discuss financial reporting from a user’s perspective, use a variety of tools to break apart financial reports into meaningful units for analysis, forecast financial statements, and value a firm. This course is intended to give you exposure to the issues facing users of financial statements.

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  • 17 hours
  • English
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MLOps Tools: MLflow and Hugging Face

MLOps Tools: MLflow and Hugging Face

This course covers two of the most popular open source platforms for MLOps (Machine Learning Operations): MLflow and Hugging Face. We’ll go through the foundations on what it takes to get started in these platforms with basic model and dataset operations. You will start with MLflow using projects and models with its powerful tracking system and you will learn how to interact with these registered models from MLflow with full lifecycle examples. Then, you will explore Hugging Face repositories so that you can store datasets, models, and create live interactive demos.

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  • 13 hours
  • English
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Deploying Memcached on Kubernetes Engine

Deploying Memcached on Kubernetes Engine

This is a self-paced lab that takes place in the Google Cloud console. In this lab you'll learn how to deploy a cluster of distributed Memcached servers on Kubernetes Engine using Kubernetes, Helm, and Mcrouter.

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  • 1 hour
  • English
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Fundamentals of Customers and Competition, with Goldman Sachs 10,000 Women

Fundamentals of Customers and Competition, with Goldman Sachs 10,000 Women

This free online course is one of 10 courses available in the Goldman Sachs 10,000 Women collection, designed for entrepreneurs ready to take their business to the next level.
In this course, you will examine your customers’ buying process and explore the benefits of market segmentation.
Through competitive analysis and identifying your competitive advantage, you will consider how an understanding of your customers and competitors can help you maximize the value of your offer, enabling you to achieve business growth.

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  • 5 hours
  • English
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Advanced Interviewing Techniques

Advanced Interviewing Techniques

People interviewing for jobs today often fail because they are using yesterday's strategies. Recruiting technology has become more sophisticated, and the best employers are constantly changing the way interviews are done. This course gives you detailed strategies for handling tough competency-based, or behavioral, interviews so that you can communicate the knowledge, skills, and abilities that you have and that employers demand.
You will be able to:
1. Identify what the hiring organization is looking for in using behavioral interviewing techniques.

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  • 21 hours
  • English
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