Créer une présentation éducative avec Microsoft Powerpoint
À la fin de ce projet, vous aurez toutes les compétences de base pour créer une présentation simple et éducative avec Microsoft Powerpoint. Grâce à ce projet, vous serez en mesure de manier tous les outils de Microsoft Powerpoint pour créer une présentation attractive pour tous vos projets éducatifs que vous soyez étudiants ou professeurs.
En este curso aprenderemos todo lo básico y necesario para incorporar base de datos relacionales a nuestros desarrollos Web.
Los objetivos son:
- Poder incorporar una base de datos a nuestro desarrollo Web, conformando las tablas necesarias para soportar el modelo de negocio de nuestras e incorporando las consultas básicas para poder obtener datos, cargar datos y modificarlos.
This course introduces you to how to use spreadsheets and SQL queries to analyze and extract data. You will learn how to practically apply the OSEMN data analysis framework and spreadsheet functions to clean data, calculate summary statistics, evaluate correlations, and more. You’ll also dive into common data visualization techniques and learn how to use dashboards to tell a story with your data.
By the end of this course you will be able to:
• Clean data with spreadsheets
• Use common spreadsheet formulas to calculate summary statistics
• Identify data trends and patterns
• Write foundational SQL statements and queries to extract data in spreadsheets
• Create charts in Google Sheets and use Tableau to visualize data
• Use dashboards to create data visualizations
You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally you have already completed course 1: Marketing Analytics Foundation and course 2: Introduction to Data Analytics in this program.
The AMNH course The Dynamic Earth: A Course for Educators provides students with an overview of the origin and evolution of the Earth. Informed by the recently released Next Generation Science Standards, this course examines geological time scales, radiometric dating, and how scientists “read the rocks.” We will explore dramatic changes in the Earth over the last 4 billion years, including how the evolution of life on Earth has affected its atmosphere. In addition to looking at geology on a global scale, participants will take to their own backyards to explore and share their local geologic history. Course participants will bring their understanding of the dynamic Earth - along with content resources, discussion questions, and assignments - into their own teaching.
Este MOOC, Coaching en las ondas, da respuesta a la necesidad de los directivos o responsables de equipos de aprender nuevas estrategias que les permitan dar respuestas adecuadas a los grupos con los que interactúan.
Esta aproximación a la gestión de los equipos se efectúa mediante los recursos del Coaching y habilidades del líder coach.
¿A quién va destinado?
A todas aquellas personas que lideran equipos de trabajo, de forma directa o indirecta. A quién en ciertos momentos actúa en contextos laborales, enfocado a temáticas de ámbito organizacional.
¿Qué ofrece este curso?
Como responsable de un equipo, ofrece conocimientos sobre cómo gestionar, con metodología coaching, situaciones de la vida real de los equipos en las organizaciones actuales y en procesos de cambio.
Las unidades didácticas te introducen en el Coaching, así como las llamadas radiofónicas que simulan situaciones cotidianas en los equipos cuyo responsable busca algún tipo de respuesta a través del Coaching.
Las llamadas, 9 en total, muestran la realidad del equipo y sus dificultades, ofrecen la oportunidad de presenciar -en cada una de ellas- un proceso de Coaching en acción.
Compensation: Job Evaluations & Pay Structures
This course is for anyone who needs to delve into job evaluations and pay ranges. You will begin with the basics – a common process and all the terms associated with it. Then, you will work your way through the process, learning about job analysis, job evaluations, pay ranges, and finally pay structures. Along the way, you will have work with Blue Space Tech Performance’s job evaluation data to create job grades and pay ranges. You will also evaluate pay equity and the common issues brought to light when creating or reviewing job and pay data.
The course examines digital marketing analytics strategies, platforms for data ingestion, preparation, and reporting. The course focuses beyond social media marketing analytics. Digital marketing analytics is foundational to Digital Marketing because analytics is the language used to optimize and connect results across all digital marketing tactics – search, social media, email marketing, display ads, video ads, etc. An effective digital marketer is well versed in data and is a data translator for a business. Becoming well versed in analytics and data requires the cultivation of both technical and soft skills. This course aims to arm students with such skills.
By the end of this course, learners will be able to define project scope, apply Lean tools to eliminate waste, measure process performance with statistical methods, analyze data to identify root causes, and implement sustainable improvements. Designed around the DMAIC methodology, this course equips learners with practical tools such as SIPOC, VOC, QFD, MSA, regression, ANOVA, DOE, and FMEA.
Learners will benefit by gaining a strong foundation in Six Sigma and Lean principles, enabling them to drive efficiency, reduce variation, and achieve measurable business outcomes. Each module provides hands-on exposure to real-world scenarios, ensuring participants can translate theory into practice.
What makes this course unique is its comprehensive alignment with Green Belt exam preparation, structured practice and graded quizzes, and emphasis on both technical rigor and organizational change management. Learners will not only master statistical analysis but also develop the leadership mindset required to guide teams and sustain improvements. This ensures readiness for both certification success and career advancement in process excellence.
MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어
이 과정은 머신러닝 실무자에게 생성형 AI 모델과 예측형 AI 모델을 평가하는 데 필요한 도구, 기술, 권장사항을 제공합니다. 모델 평가는 프로덕션 단계의 ML 시스템이 안정적이고 정확하고 성능이 우수한 결과를 제공할 수 있게 하는 중요한 분야입니다.
강의 참가자는 다양한 평가 측정항목, 방법, 각각 다른 모델 유형과 작업에 적합한 애플리케이션에 대해 깊이 있게 이해할 수 있습니다. 이 과정에서는 생성형 AI 모델의 고유한 문제를 강조하고 이를 효과적으로 해결하기 위한 전략을 소개합니다. 강의 참가자는 Google Cloud의 Vertex AI Platform을 활용해 모델 선택, 최적화, 지속적인 모니터링을 위한 견고한 평가 프로세스를 구현하는 방법을 알아볼 수 있습니다.
このコースでは、Google Workspace に付属する Google のビデオ会議ソフトウェアである Google Meet について紹介します。
Google Meet を使ってビデオ会議を作成し、管理する方法について説明します。Google Meet を開き、ビデオ会議にユーザーを追加するさまざまな方法について確認します。カレンダーの予定や会議リンクなど、さまざまなソースから会議に参加する方法についても説明します。
Google Meet を使用して、チームがどこにいても、コミュニケーション、意見の交換、リソースの共有をより適切に行う方法について説明します。ニーズに合わせて Google Meet 環境をカスタマイズする方法や、ビデオ会議中にチャット メッセージを効率的に使う方法について説明します。また、カレンダーの招待状や添付ファイルを使うなど、リソースを共有するさまざまな方法について確認します。
Google Meet の主催者用ボタンを使って参加者を管理し、インタラクティブな管理機能を利用する方法について説明します。ビデオ会議の録画やライブ ストリーミングを行う方法についても説明します。
Explore LiDAR in 3D is a beginner-level course designed for analysts and GIS professionals who want to work confidently with LiDAR point cloud data for elevation modeling and environmental applications. LiDAR data is inherently three-dimensional, yet many errors in analysis occur when users treat it like traditional 2D raster data. This course focuses on building correct mental models and practical skills for working with LiDAR from visualization through validation.
Across three structured lessons, learners progress from understanding and exploring LiDAR point clouds in a 3D viewer, to generating a Digital Elevation Model (DEM) from ground-class points, and finally to evaluating vertical accuracy using control points. Rather than emphasizing software clicks, the course emphasizes why each step matters, helping learners make sound decisions that support real-world use cases such as flood modelling.
Through short videos, targeted readings, Coach-led reflections, and hands-on labs, learners practice loading and interpreting point clouds, creating terrain surfaces correctly, and assessing whether elevation outputs are fit for purpose. By the end of the course, learners will be able to confidently visualize LiDAR data in 3D, generate a DEM from ground points, and evaluate its vertical accuracy—skills essential for delivering reliable elevation models in environmental and risk-analysis workflows.
Did you know there's a science behind the flavors, textures, and aromas of the foods we eat, and why our favorite products look, feel, and smell the way that they do? In this course, we will provide a broad overview of the field of sensory science - its history, definition, and applications in academic research and in the consumer-packaged goods industry. We’ll also discuss how sensory science impacts other industries, including the medical sciences and information processing. We will also explore the roles of sensory evaluation in relation to the human instrument, marketing, product development, and quality assurance. Whether you are interested in better understanding your favorite foods or looking to expand your knowledge of the sensory sciences, this course is an excellent place to start.
