What’s new on Coursera for Business – February 2020

What’s new on Coursera for Business – February 2020

By Kyle Clark, Senior Skills Transformation Consultant

February was a special month at Coursera: we officially launched Rhyme Projects for enterprise. Coursera acquired Rhyme Softworks last year to augment our abilities to create and share hand-on projects with learners. Projects allow learners to work on a task in their browser while following a self-paced or live-guided session with no additional set-up or download required. See our projects guide for more information.

See below for a screenshot from an advanced Excel integration with Outlook project:

Our partners also launched over 40 courses on topics including blockchain in finance, information security, future payments technology, and COVID-19.

Here are our top picks for enterprises from February:

February 2020’s key launches:

Financial Technology (Fintech) Innovations Specialization, University of Michigan – This specialization is intended to familiarize learners with a broad range of financial technologies. While finance has always been at the forefront of technological innovation, the financial industry is changing rapidly in the face of new technology. In the past, at the forefront of innovation in finance were central governments and financial institutions. Today, information technology firms and professionals are leading innovation in the financial industry
Science Matters: Let’s Talk About COVID-19, Imperial College London – On January 30th, the World Health Organisation (WHO) declared the outbreak of COVID-19 (previously termed ‘novel coronavirus’ or ‘2019-nCoV’), a public health emergency of international concern. As the epidemic seems to spread to more and more countries, people around the world are wondering about the trajectory of the epidemic and whether they should be concerned. You will hear directly from the experts conducting the analyses. You will be able learn about the current state of the epidemic, while also learn about the epidemiological and public-health principles and challenges that underpin these analyses. 
Blockchain Revolution in Financial Services Specialization, INSEAD – Blockchain is poised to transform the economy and society at large—redefining the ways we transact online, share ideas, and manage workflows. The financial services sector is a key lever in such transformations. This four-course specialization introduces learners to the world of blockchain technology for financial services—including what blockchain is, how it works, and why it is revolutionary.
Security Awareness Training, (ISC)² – The security of an organization is of the utmost importance and every member of the organization’s staff plays a vital role in defending against cyber threats. One of the best ways to protect the organization is to institute a company-wide security-awareness training initiative. This course is a complete foundational security awareness training program that covers a wide array of topics for nearly every type of end-user and learner level.
Making the Case for Robotic Process Automation, Association of International Certified Professional Accountants – Robotic Process Automation (RPA) can transform business processes by eliminating the mundane, time-consuming, manual tasks that professionals complete; enabling them more time to focus on critical thinking. This course for accounting and finance professionals worldwide will show through use cases how robotic process automation can be utilized to decrease errors and increase productivity.

New Projects:

Project: Basic Image Classification with TensorFlow – In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras.
Project: Data Analysis in R with dplyr – In this 2-hour long project-based course, you will learn one of the most powerful data analysis tools of the experts: the DPLYR package. By learning the six main verbs of the package (filter, select, group by, summarize, mutate, and arrange), you will have the knowledge and tools to complete your next data analysis project or data transformation. By the end of this project, you will be able to: Use the six main dplyr verbs; Understand the dplyr package and its capabilities; Get hands-on practice using R and dplyr functions.
Project: Predicting House Prices with Regression using TensorFlow – In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and you will learn to use it to solve a basic regression problem. By the end of this project, you will have created, trained, and evaluated a neural network model that, after the training, will be able to predict house prices with a high degree of accuracy.

All Courses

Business

The Future of Payment Technologies

University of Michigan

Blockchain and Cryptocurrency Explained

University of Michigan

Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding

University of Michigan

Innovations in Investment Technology: Artificial Intelligence

University of Michigan

Google Cloud Product Fundamentals

Google Cloud

«Стартап: как вырасти в успешный бизнес»

Saint Petersburg State University

Анализ данных в Google Таблицах (Google Spreadsheets)

National Research Tomsk State University

Bases of the law of obligations (The Russian Federation) Part 2

Moscow State Institute of International Relations (MGIMO) / МГИМО (Московский государственный институт международных отношений МИД России)

Technology

Introduction to Blockchain for Financial Services

INSEAD

Blockchain, Cryptoassets, and Decentralized Finance

INSEAD

Blockchain Transformations of Financial Services

INSEAD

Blockchain in Financial Services: Strategic Action Plan

INSEAD

Security Awareness Training

(ISC)²

Introduction to OpenCL on FPGAs

Intel

Making the Case for Robotic Process Automation

Association of International Certified Professional Accountants

Information Systems Auditing, Controls and Assurance

The Hong Kong University of Science and Technology

Advanced Deployment Scenarios with TensorFlow

deeplearning.ai

Data

 

Computational Social Science Capstone Project

University of California, Davis

Reinforcement Learning for Trading Strategies

Google Cloud

Машинное обучение для руководителей

E-Learning Development Fund

Other

Global Disease Masterclass: Global Disease Distribution

Imperial College London

Global Disease Masterclass: Communicable Diseases Epidemiology, Intervention and Prevention

Imperial College London

Global Disease Masterclass: Non-communicable Diseases

Imperial College London

Learn to Teach Java: Sequences, Primitive Types and Using Objects

University of California San Diego

Learn to Teach Java: Boolean Expressions, If Statements, and Iteration

University of California San Diego

Learn to Teach Java: Writing Classes and Arrays

University of California San Diego

Contemporary Russian Literature

Saint Petersburg State University

Современная русская литература

Saint Petersburg State University

Основы управления личными финансами

E-Learning Development Fund

Voices of Social Change

Laureate Education

Vozes da Mudança Social

Laureate Education

Voces de cambio social

Laureate Education

Innovative Governance of Large Urban Systems

École Polytechnique Fédérale de Lausanne

Aprendiendo a Aprender

IE Business School

Atrévete a innovar tu enseñanza con pensamiento de diseño

Universidad Nacional Autónoma de México

Science Matters: Let’s Talk About COVID-19

Imperial College London

Journeys to Education Teach-Out

Emory University

L’antisémitisme : De ses origines à nos jours

Yad Vashem

Diagnóstico y tratamiento del dolor neuropático en atención primaria

Universidad de los Andes

When Disaster Meets Conflict

Erasmus University Rotterdam

Write Your First Novel

Michigan State University

Everyday Chinese Medicine 2

The Chinese University of Hong Kong

Citizenship and the Rule of Law

University of London

All Projects

Project: Analyze Box Office Data with Plotly and Python

Project: Analyze Box Office Data with Seaborn and Python

Project: Analyze Text Data with Yellowbrick

Project: Avoid Overfitting Using Regularization in TensorFlow

Project: Basic Image Classification with TensorFlow

Project: Basic Sentiment Analysis with TensorFlow

Project: Build Random Forests in R with Azure ML Studio

Project: Classification with Transfer Learning in Keras

Project: Create Custom Layers in Keras

Project: Data Analysis in R with dplyr

Project: Data Visualization with Plotly Express

Project: Deep Learning Inference with Azure ML Studio

Project: Deploy Models with TensorFlow Serving and Flask

Project: Evaluate Machine Learning Models with Yellowbrick

Project: Exploratory Data Analysis with Seaborn

Project: Image Classification with CNNs using Keras

Project: Image Compression with K-Means Clustering

Project: Image Noise Reduction with Auto-encoders using TensorFlow

Project: Logistic Regression with Python and Numpy

Project: Machine Learning Pipelines with Azure ML Studio

Project: Multiple Linear Regression with scikit-learn

Project: Neural Network from Scratch in TensorFlow

Project: Neural Style Transfer with TensorFlow

Project: Perform Feature Analysis with Yellowbrick

Project: Perform Sentiment Analysis with scikit-learn

Project: Predict Sales Revenue with scikit-learn

Project: Predicting House Prices with Regression using TensorFlow

Project: Predictive Modelling with Azure Machine Learning Studio

Project: Regression Analysis with Yellowbrick

Project: Regression with Automatic Differentiation in TensorFlow

Project: Save, Load and Export Models with Keras

Project: Simple Recurrent Neural Network with Keras

Project: Statistical Data Visualization with Seaborn

Project: Visual Machine Learning with Yellowbrick

Project: Visualizing Citibike Trips with Tableau

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