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  • Business
    All levels

    Privacy Law and HIPAA

    What does it take to comply with privacy laws? In this course, we’ll look at the practical aspects of navigating the complex landscape of privacy requirements. Better understanding privacy laws and data protection will enable you to protect your organization and the constituents that depend on your organization to safeguard their personal information. First, we will examine the historical context that drove the creation of laws, best practices, and other standards for protecting personal information. We will also consider where in the U.S. privacy laws exist and which sectors remain unregulated. Next, we will focus on the federal health privacy law, the Health Insurance Portability and Accountability Act of 1996 (HIPAA) – and what it takes to comply with it. How do you know the scope of the requirements? And once you know HIPAA applies, how do you actually put measures in place to ensure compliance? We’ll explore the notion that one cannot have privacy without strong security and examine various models that promote the security of personal information. We’ll look closely at breach notification laws – one of the most significant drivers of change in organizations – and discuss strategies for the improvement of data protection overall. Lastly, we will look at international law, state law, the unique and important role of the Federal Trade Commission in protecting privacy. Most importantly, we get practical – we will discuss real-world, practical approaches to how compliance professionals can navigate the complex landscape of privacy requirements to best protect their organizations.

    840 min
    View details: Privacy Law and HIPAA
  • Technology
    All levels

    Python에서 데이터베이스 사용하기

    이 과정은 학생들에게 SQL(Structured Query Language)의 기초와 다단계 데이터 수집, 분석 및 처리 노력의 일환으로 데이터를 저장하기 위한 기본 데이터베이스 설계를 소개합니다. 본 과정은 SQLite3를 데이터베이스로 사용합니다. 또한 웹 크롤러와 다단계 데이터 수집 및 시각화 프로세스를 구축합니다. D3.js 라이브러리를 사용하여 기본 데이터 시각화를 수행합니다. 본 과정은 ‘Python for Everybody’의 14-15장을 다룹니다. 이 과정을 성공적으로 마치려면 교과서의 1-13장과 이 전문 과정의 처음 세 과정에서 다루는 내용을 숙지해야 합니다. 본 과정은 Python 3를 다룹니다.

    View details: Python에서 데이터베이스 사용하기
  • Technology
    Beginner

    Introduction to Data Science

    We reside in a world experiencing an explosion of information, with a rapid and exponential growth of data. This surge in data captures increasing interest across various fields. Data science involves the gathering of extensive data and the fusion of domain expertise, programming skills, mathematics, and statistical knowledge to derive meaningful insights. Given the breadth and depth of data science, this course aims to furnish you with a comprehensive theoretical foundation and framework to initiate your journey in this field. "Data" permeates every aspect of data science. The course is divided into five parts, each centered around core topics related to "data". The initial part introduces data ethics, outlining the ethical issues surrounding data collection, usage, and reporting. The second part delves into data collection, acquisition sources, and data structures. The third part focuses on cutting-edge research in Data Science, immersing you in the realm of data science. The fourth part acquaints you with basic data processing using programming, specifically in R, the prevailing data analytics tool. Here, you will gain familiarity with R fundamentals, execute basic data wrangling tasks, develop an understanding of data storage and management, and gain experience in data visualization. The fifth part of the course imparts fundamental knowledge of probability and statistics, preparing you to move to the next stage of exploration.

    View details: Introduction to Data Science
  • Business
    Intermediate

    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 - Manipulate the existing financial data by generating new variables using multiple columns - Recall and apply the important statistical concepts (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc. ) into financial contexts - Build a trading model using multiple linear regression model - Evaluate the performance of the trading model using different investment indicators Jupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications.

    840 min
    View details: Python and Statistics for Financial Analysis
  • Business
    Beginner

    Evaluate Total Costs for Optimal Procurement

    Master the financial strategy of modern procurement by moving beyond simple price comparisons to a holistic, value-driven approach. This course is designed for procurement professionals, analysts, and business leaders who want to make optimal purchasing decisions by leveraging Total Cost of Ownership (TCO) analysis. You will learn to systematically identify all relevant cost drivers, from logistics and maintenance to the time value of money, and build robust financial models in a spreadsheet environment. Through practical, hands-on activities and expert-led screencasts, you will master the techniques to calculate and compare the Net Present Value (NPV) of competing supplier bids. The course culminates in you producing a data-driven, executive-level award recommendation, equipping you with the skills to confidently justify strategic sourcing decisions that deliver the best long-term financial value for your organization.

    172 min
    View details: Evaluate Total Costs for Optimal Procurement
  • Technology
    Beginner

    Professional Cloud Security Engineer の取得に向けた準備

    このコースは、Professional Cloud Security Engineer(PCSE)認定試験への準備に役立ちます。受講者は、一連の講義、診断用の問題、理解度チェックを通じて試験内容についての理解を深め、準備を整えることができます。このコースを修了した暁には、受講者それぞれに独自のワークブックができあがるので、認定試験に向けてほかにどのような準備を行うべきかがわかるようになります。

    View details: Professional Cloud Security Engineer の取得に向けた準備
  • Technology
    All levels

    Unreal Engine Game Design: Build, Implement & Optimize

    This hands-on course guides learners through the complete process of designing and optimizing a maze-based game in Unreal Engine using blueprints. Across four progressive modules, learners will explore fundamental and advanced gameplay mechanics — from populating mazes with interactive objects to implementing teleport zones, player respawn systems, and immersive enemy AI behavior. Learners will build gameplay logic, apply teleportation and win conditions, implement dynamic enemy states and AI-driven navigation, and design a responsive HUD for real-time feedback. By integrating audio, animations, and structured AI phases, students will analyze game flow, develop interactive systems, and evaluate performance to ensure smooth, engaging experiences. By the end of the course, learners will have the ability to create, customize, and optimize a polished Unreal Engine game project that demonstrates mastery of navigation meshes, enemy variations, child blueprints, and dynamic HUD layouts. This course equips students with the skills to design, implement, and refine professional-quality gameplay systems using Unreal Engine’s visual scripting tools.

    View details: Unreal Engine Game Design: Build, Implement & Optimize
  • Technology
    All levels

    데이터 중심 기업을 위한 비즈니스 지표

    이 과정에서는 데이터 분석을 사용하여 회사의 경쟁력과 수익성을 높이는 방법에 대한 모범 사례를 배웁니다. 가장 중요한 비즈니스 지표를 인식하고 단순한 데이터와 구별할 수 있습니다. 다양한 유형의 회사에서 수행하는 비즈니스 분석가, 비즈니스 데이터 분석가 및 데이터 과학자의 중요하면서도 다른 역할을 명확하게 이해할 수 있습니다. 그리고 수요가 높은 이러한 직종에 취업하고 성공하기 위해 필요한 기술을 정확히 파악하게 됩니다. 마지막으로 이 과정에서 제공되는 체크리스트를 사용하여 기업이 빅 데이터 문화를 얼마나 효과적으로 수용하고 있는지 점수를 매길 수 있습니다. 아마존, 우버 및 에어비앤비와 같은 디지털 회사는 빅 데이터를 창의적으로 사용하여 전체 산업을 변화시키고 있습니다. 이러한 회사가 와해적인 이유와 어떻게 데이터 분석 기술을 사용하여 기존 회사를 앞서가는지를 알 수 있습니다.

    View details: 데이터 중심 기업을 위한 비즈니스 지표
  • General
    All levels

    医学统计学与SPSS软件(基础篇)

    本课程适用于医学各专业的学生以及医疗卫生工作者。 课程包括基础统计学方法及SPSS软件应用:绪论、统计描述、t检验、方差分析、卡方检验、直线回归与相关、秩和检验。通过本课程的学习,学生能掌握医学统计学的基本方法及SPSS软件的应用技能,培养统计思维能力,并在医学科研工作中能灵活地、正确地运用统计学。

    180 min
    View details: 医学统计学与SPSS软件(基础篇)
  • Technology
    Intermediate

    Data Pipelines with TensorFlow Data Services

    Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this third course, you will: - Perform streamlined ETL tasks using TensorFlow Data Services - Load different datasets and custom feature vectors using TensorFlow Hub and TensorFlow Data Services APIs - Create and use pre-built pipelines for generating highly reproducible I/O pipelines for any dataset - Optimize data pipelines that become a bottleneck in the training process - Publish your own datasets to the TensorFlow Hub library and share standardized data with researchers and developers around the world This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.

    1080 min
    View details: Data Pipelines with TensorFlow Data Services
  • Business
    All levels

    English Skills And Communication For Managers And Leaders

    Gain language skills and strategies needed to excel in managerial and leadership roles. This course is tailored for professionals looking to refine their communication style and command of professional English in leadership contexts. Throughout the course, participants will learn the nuances of communicating with clarity, empathy, and authority. Managers and leaders must be able to express ideas clearly, manage conflicts diplomatically, and inspire diverse teams with confidence. To address these needs, the course focuses on practical English skills for daily workplace interactions, including meetings, presentations, negotiations, and one-on-one coaching sessions. Each lesson is designed to improve communication efficiency, ensuring that language becomes an asset in achieving organizational goals. Key Course Features: Professional Language Development: Learn how to structure your ideas with precision and confidence. We’ll cover essential vocabulary, phrases, and structures commonly used in business environments to ensure you convey your ideas persuasively and effectively. Participants will refine their ability to give instructions, set expectations, and clarify complex concepts in English. Leadership Communication Skills: Effective leaders need more than just clear language; they need to motivate, inspire, and engage. The course addresses how to communicate strategically to guide teams, give constructive feedback, and encourage a culture of open communication. Learn to use English in a way that fosters collaboration and strengthens your influence. Meetings and Presentations: These key leadership activities often demand the clearest and most compelling communication skills. We will cover best practices for leading productive meetings, presenting ideas persuasively, handling questions diplomatically, and ensuring clear communication of goals, strategies, and outcomes. Cultural Sensitivity in Communication: As workplaces become more diverse, understanding cultural differences in communication is vital for effective leadership. This course explores language nuances, communication styles, and cultural considerations to ensure that your messages resonate with an international team. Learning Outcomes: By the end of this course, participants will: Communicate more clearly and confidently in English across a variety of managerial scenarios. Develop essential leadership language skills for motivating and guiding teams. Lead effective meetings and deliver compelling presentations that drive engagement. Handle difficult conversations with tact and create an inclusive, respectful environment. Gain insights into cross-cultural communication, enhancing team harmony and cohesion. Who Should Enroll: This course is ideal for managers, team leaders, and executives who want to enhance their English communication skills in a leadership context. Whether you are a non-native English speaker looking to increase your fluency and comfort in business settings, or a native speaker aiming to refine your language for higher-impact communication, this course will give you the tools you need to lead with confidence. Take your communication skills to the next level with “English for Managers and Leaders” and empower your team to reach new heights.

    View details: English Skills And Communication For Managers And Leaders
  • General
    Beginner

    Mathematics and Democracy Teach Out

    This course is aimed at anyone who has interest in the lens through which mathematicians view democracy. You will learn theories and approaches to the mathematics of voting.

    360 min
    View details: Mathematics and Democracy Teach Out