Welcome to Data Wrangling for Business. This course will cover data wrangling principles and techniques for business. Key topics include data extraction, profiling, cleansing, integration, transformation, and automating data processes for business purposes. In the course, you will apply principles and techniques using data transformation tools, programming languages, and data process automation tools. The course offers you an opportunity to learn how to embed appropriate communication mechanisms for collaboration to identify and resolve real-world data challenges revealed in datasets and business processes, creating business value in today’s disparate computing and dynamic business environment.
Automation in the Cloud can simplify processes, enable agility and scalability, and help you deploy faster. But how should you master these topics to enhance your career potential? The course kicks off by introducing automation in the cloud, comparing the differences between on-premises and cloud. We'll answer why automation is so powerful and you'll get hands-on by working with AWS CLI. Week 1 closes with automation with scripting by sharing examples of how automation helps and the benefits of using scripts. A focus on Automation isn't complete with an overview of Infrastructure as Code. You'll get introduced to Provisioning and Configuration Management and solve an automation problem with AWS CloudFormation. The instructors will then share some simple automation examples and how various tools can help you get the job done. In the course's final week, we'll cover the various AWS Services and features used for automation, how to scale resource management, and use the Systems Manager console and AWS Config for compliance.
Innovation Strategy: Developing Your Fintech strategy
Welcome to Innovation strategy: Developing your Fintech Strategy! As you probably know, this is the third course in a three-part specialization focused on the digital transformation of finance.
In this course, we'll aim to bring you insights about how business strategy intersects with innovation in finance. I'm excited to have you in the class and look forward to helping you learn more about this important topic.
To begin, I recommend taking a few minutes to explore the course site. A good place to start is the navigation bar on the left. Click Course Content to see what material we’ll cover each week, as well preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum!
This course should take about four weeks to complete. You can check out the recommended course schedule below to see a quick overview of the lessons and assignments you’ll complete each week.
By the time you finish this course, you’ll have understood the job your Fintech innovation strategy should solve and mastered both internal and external innovation tools to solve the problem. You will also have been exposed to how some of the world’s leading financial companies work with innovation and seen inspirational examples from the digital masters, such as Google, Apple and Amazon. You'll be introduced to the Capstone Project for the specialization and have a chance to form some preliminary solutions for a financial company that needs to re-think its Fintech innovation strategy.
The course has a primary focus on the banking sector, with insurance as a secondary area of concern. Most examples are rooted in the North American and European financial markets.
Good luck as you get started. I look forward to seeing you in class!
Web Applications and Command-Line Tools for Data Engineering
In this fourth course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will build upon the data engineering concepts introduced in the first three courses to apply Python, Bash and SQL techniques in tackling real-world problems. First, we will dive deeper into leveraging Jupyter notebooks to create and deploy models for machine learning tasks. Then, we will explore how to use Python microservices to break up your data warehouse into small, portable solutions that can scale. Finally, you will build a powerful command-line tool to automate testing and quality control for publishing and sharing your tool with a data registry.
Learn how employee motivation, workplace behavior, and organizational development strategies influence organizational performance and long-term business success. This course provides a practical introduction to employee motivation theories and HR interventions used to improve workplace effectiveness and organizational change management.
The course begins by exploring foundational motivation theories that explain how employee needs, expectations, fairness perceptions, and rewards influence workplace behavior and performance. Learners will study major frameworks including Maslow’s Hierarchy of Needs, Herzberg’s Two-Factor Theory, Vroom’s Expectancy Theory, Adams’ Equity Theory, and Alderfer’s ERG Theory to understand how organizations improve employee engagement, satisfaction, and productivity.
As the course progresses, learners are introduced to the principles of Organization Development (OD) and planned organizational change. The course explains how organizations diagnose workplace challenges, implement HR interventions, and use systematic change models to improve organizational effectiveness.
In addition, learners explore the Action Research Model, a widely used framework for diagnosing organizational problems, collecting data, implementing interventions, and evaluating outcomes. The course also introduces international compensation concepts and modern HR intervention practices used to support organizational improvement initiatives.
What makes this course unique is its integration of classic motivation theories with practical organizational development and HR intervention strategies. By the end of the course, learners will be able to analyze employee motivation, evaluate workplace behavior, and apply structured OD interventions to improve organizational effectiveness in real-world business environments.
Einführung in Marketing für soziale Medien mit Visme
Nach Abschluss dieses Projekts wirst du gelernt haben Grafikdesignplattform Visme zu nutzen und individuelle Posts für Soziale Medien zu kreieren. Wir werden heute die kostenlose Visme Version zur Erstellung unserer Projekte verwenden.
User von sozialen Netzwerken werden im heutigen Zeitalter von Informationen und Bildern regelrecht überschwemmt. Aufgabe des Social Media Marketings ist es daher, kreative Wege zu finden um die Aufmerksamkeit der User für ihre Produkte und Dienstleistungen zu gewinnen. Dies erfolgt oftmals auf Basis eines sehr geringen Marketing Budgets.
Die webbasierte Plattform Visme bietet alle nötigen Werkzeuge um visuell attraktive und organisierte Produkte zu kreieren und in den sozialen Medien zu teilen. Deine neu erworbenen Kenntnisse werden dir in Zukunft dabei behilflich sein, dein Business zu bewerben und deinen Wiedererkennungswert zu steigern.
Configuring Vector Search in Cloud SQL for PostgreSQL
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn the fundamentals of configuring vector search in Cloud SQL for PostgreSQL.
By completing this course, learners will be able to identify the foundations of Human Resource Management, analyze intellectual capital strategies, apply talent acquisition and management processes, and evaluate performance, career, and employee relations practices in both global and entrepreneurial contexts.
This comprehensive Human Resource Management course provides learners with a structured journey across four modules: Foundations of HRM, Intellectual Capital & Talent Dynamics, Growing and Retaining Talent, and Employee Relations & Global HRM. Each lesson blends theory with real-world application, enabling learners to connect HR principles with organizational strategy.
Learners will benefit from step-by-step lessons, practice quizzes, and graded assessments that reinforce understanding while building practical skills in recruitment, diversity management, career planning, rewards, and labor relations. The course emphasizes intellectual capital and global adaptability, equipping learners with the tools to thrive in both small firms and multinational organizations.
What makes this course unique is its modular, lifecycle-based design that mirrors the end-to-end HR function—from hiring to global workforce management—making it an ideal starting point for aspiring HR professionals and entrepreneurs.
Build a Certification Study Guide: PCDOE Exam Prep
Learn how to use NotebookLM to create a personalized study guide for the Professional Cloud
DevOps Engineer certification exam. You'll review NotebookLM features, add source materials,
and use effective prompts to create a study guide that helps you prepare for the exam.
Transform your raw data files into robust, auditable data lake tables with database-like guarantees. This Short Course was created to help data professionals accomplish reliable data lake management with transactional integrity and versioning capabilities.
By completing this course, you'll be able to convert existing data files into transactional formats, execute atomic operations that ensure data integrity during concurrent jobs, query historical versions for auditing and recovery, and manage schema evolution safely—all skills you can apply immediately to your data pipelines.
By the end of this course, you will be able to:
- Apply transactional and versioning features to data lake tables
This course is unique because it focuses on hands-on implementation of data lake reliability patterns using open-source tools, bridging the gap between raw cloud storage and enterprise-grade data management.
To be successful in this course, you should have a background in basic SQL and data file formats.
How to Write and Publish a Scientific Paper (Project-Centered Course)
What you will achieve:
In this project-based course, you will outline a complete scientific paper, choose an appropriate journal to which you'll submit the finished paper for publication, and prepare a checklist that will allow you to independently judge whether your paper is ready to submit.
What you'll need to get started:
This course is designed for students who have previous experience with academic research - you should be eager to adapt our writing and publishing advice to an existing personal project. If you just finished your graduate dissertation, just began your PhD, or are at a different stage of your academic journey or career and just want to publish your work, this course is for you.
*About Project-Centered Courses:
Project-Centered Courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.
