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• Business

  All levels

  Project Schedule Management Essentials

  Master the fundamentals of project scheduling, Work Breakdown Structures (WBS), resource planning, and schedule management. Learn how to build realistic project timelines, manage dependencies, and track project progress effectively. This course provides a practical and structured approach to project schedule management by combining estimation techniques, WBS development, scheduling frameworks, project logic, baseline tracking, and resource reporting. Learners will explore how to organize project activities, create detailed work packages, develop scheduling structures, and apply scheduling best practices using real-world project examples. The course also introduces key scheduling concepts such as effort estimation, schedule maintenance, project calendars, coding structures, auto scheduling, and project reporting. By the end of the course, learners will be able to confidently create, manage, analyze, and optimize project schedules for better project execution and delivery.

  View details: Project Schedule Management Essentials
• Business

  Advanced

  Leading Decisions, Problems, and Impact

  Strong leaders aren’t defined by having all the answers. They’re defined by how they make decisions, solve problems, and lead through complexity. In this course, you’ll develop the skills to make confident, high-quality decisions, tackle real-world problems with clarity, and navigate the ambiguity that comes with leadership. You’ll learn how to balance data, judgment, and experience, avoid common decision traps, and lead your team through challenges with intention and focus. Through practical frameworks and real-world application, this course moves beyond theory, giving you tools you can use immediately to improve outcomes, strengthen your leadership credibility, and drive meaningful impact in your organization.

  450 min

  View details: Leading Decisions, Problems, and Impact
• Technology

  Advanced

  Data Mining in Python

  In “Data Mining in Python,” you will learn how to extract useful knowledge from large-scale datasets. This course introduces basic concepts and general tasks for data mining. You will explore a wide range of real-world data sets, including grocery store, restaurant reviews, business operations, social media posts, and more. You will learn how to formally describe real-world information with general data representations (e.g., itemsets, vectors, matrices, sequences, and more). You will then learn how to formulate data in the wild with one or more of these representations. This course will teach you how to characterize and explain your data by looking for patterns and similarities, which are basic building blocks for advanced analysis and machine learning models. This is the first course in “More Applied Data Science with Python,” a four-course series focused on helping you apply advanced data science techniques using Python. It is recommended that all learners complete the Applied Data Science with Python specialization prior to beginning this course.

  1200 min

  View details: Data Mining in Python
• Technology

  Beginner

  (SSCP) Systems Security Certified Practitioner: Unit 4

  This course covers risk management and security monitoring. You'll gain a comprehensive understanding of risk identification, monitoring, and analysis. Learn about vulnerability assessment and management, and about how to identify and patch vulnerabilities effectively. Develop proficiency in continuous security monitoring, ensuring you can manage logs and security information management systems (SIMs). You will also learn to analyze and interpret monitoring results, empowering you to detect and trace malicious activities with precision.

  102 min

  View details: (SSCP) Systems Security Certified Practitioner: Unit 4
• Business

  Beginner

  FoundX Startup School Course

  FoundX Online Startup School はスタートアップの基礎的な知識を提供するためのオンラインコースです。スタートアップに限らず、何かのビジネスを作り上げる際に役立つ「ビジネスの考え方のパターン」が提供されています。 個人で受講すれば、スタートアップを始める前に最低限知っておきたい知見を得ることができるでしょう。またチーム全員が受講することで、チームの考え方の土台を作るうえでお役立ていただけます。 短期間で学べるコースとなっているので、ぜひこの機会にこのコースをご活用ください。 ※ 本コースではピアレビューによる、受講者同士の提出物の評価があります。受講者が多くない時期は評価が得られない可能性がありますので、受講前にご了承願います。もし数日経っても評価が得られない場合、 contact@foundx.jp までご連絡ください。

  View details: FoundX Startup School Course
• Business

  Beginner

  Hootsuite pour les débutants

  À la fin de ce projet, vous aurez toutes les compétences de base pour utiliser la plateforme Hootsuite. Vous serez en mesure de créer un compte Hootsuite et de découvrir les différentes fonctionnalités qu’offre le site web. Ce projet vous permettra de débuter sur la plateforme Hootsuite et de comprendre son utilité à travers plusieurs étapes que l’on verra ensemble. Ce projet est destiné à tous les niveaux mais surtout aux débutants et aux personnes qui aimeraient utiliser Hootsuite pour une première fois. Il est idéal pour les personnes souhaitant promouvoir leurs marques sur les réseaux sociaux à travers Hootsuite. L’objectif est de vous permettre de comprendre comment utiliser Hootsuite en détail.

  120 min

  View details: Hootsuite pour les débutants
• Technology

  All levels

  Advanced Machine Learning with R: Apply & Predict

  By the end of this course, learners will be able to apply clustering algorithms, implement Naive Bayes classifiers, analyze text with supervised learning models, reduce dimensionality with PCA, and design foundational neural networks. They will also evaluate time series patterns, forecast using ARIMA and Prophet, optimize predictive performance with gradient boosting, and uncover associations through market basket analysis. This course equips learners with advanced machine learning techniques using R, combining theoretical knowledge with hands-on implementation. Unlike traditional courses, it integrates clustering, supervised models, dimensionality reduction, neural networks, and advanced forecasting in a single structured program. Through practical coding examples and real-world case studies, participants will strengthen their ability to preprocess data, choose appropriate algorithms, and interpret results effectively. What makes this course unique is its balance of classic statistical foundations and modern ML applications, empowering learners to transition from exploratory analysis to building production-ready models. Professionals, data analysts, and aspiring data scientists will benefit from mastering advanced techniques that enhance both accuracy and interpretability in predictive modeling.

  View details: Advanced Machine Learning with R: Apply & Predict
• Business

  All levels

  International B2B (Business to Business) Marketing

  This course offers a unique perspective into the differentiating aspects of business to business (B2B) marketing that can be contrasted to traditional business to consumer (B2C) marketing that is the subject of most other marketing curricula. Moreover, as one of the courses in the Specialization: International Marketing & Cross Industry Growth, here too there is an emphasis on how companies can expand by cross-country and cross-industry innovation. By taking this course learners will obtain the following outcomes: (1) understand the differences between B2C and B2B marketing. (2) approach marketing problems from an inter-organizational perspective, in particular, learn about decision making at buying centers. (3) innovate B2B marketing via a CCCI, i.e. Cross Country & Cross Industry Innovation approach. (4) gain insights about CCCI Innovation and best practices via interviews with top B2B industry experts.

  270 min

  View details: International B2B (Business to Business) Marketing
• Technology

  Intermediate

  Networking in Google Cloud: Routing and Addressing - 日本語版

  「Networking in Google Cloud」シリーズの 2 番目のコース「Routing and Addressing」へようこそ。 このコースでは、Google Cloud のネットワーク機能に関連するルーティングとアドレス指定の中核となるコンセプトについて説明します。 モジュール 1 では、Google Cloud でのネットワーク ルーティングとアドレス指定について学習し、IPv4 のルーティング、お客様所有 IP アドレスの使用、Cloud DNS の設定などの主要な構成要素を取り上げることで、基礎知識を身に付けます。モジュール 2 では、プライベート接続のオプションに話題を移し、内部 IP アドレスを使用して Google やその他のサービスにプライベート アクセスするユースケースや手法について説明します。 このコースを修了すると、Google Cloud 内のネットワーク トラフィックを効果的にルーティングおよびアドレス指定する方法をしっかりと把握できるようになります。

  420 min

  View details: Networking in Google Cloud: Routing and Addressing - 日本語版
• Technology

  All levels

  Build Dynamic Sales Dashboards in Excel

  Master the skills needed to build interactive Excel sales dashboards that transform raw business data into powerful visual insights. Learn how to create dynamic reports, analyze sales performance, and design professional dashboards using Excel and VBA. This course provides a practical, hands-on approach to dashboard creation and business analytics in Microsoft Excel. You’ll learn how to organize raw sales data, create Pivot Tables, apply advanced formulas, and design visual dashboards that help businesses monitor performance and make data-driven decisions. As you progress, you’ll build a complete sales dashboard from scratch while learning how to use IF, SUMIFS, VLOOKUP, Pivot Tables, and dynamic charting techniques to analyze business performance effectively. The course also explores advanced dashboard interactivity through dropdowns, scroll bars, form controls, and VBA-driven automation that allow users to interact with reports in real time. What makes this course unique is its project-based learning approach focused on real-world business scenarios. Instead of isolated Excel features, learners develop a fully functional dashboard that combines analytics, visualization, and automation into a professional reporting solution. By the end of the course, you’ll be able to confidently create interactive Excel dashboards, automate reporting workflows, visualize KPIs, analyze sales trends, and generate actionable insights that support smarter business decisions.

  View details: Build Dynamic Sales Dashboards in Excel
• Business

  Beginner

  Modelagem de sistemas soft (SSM)

  Para compreender um problema de natureza administrativa é necessário inseri-lo em um contexto mais amplo. A modelagem de sistemas soft oferece uma forma de raciocinar baseada em um ciclo de aprendizado sobre o problema. O princípio A modelagem é baseada na metodologia de sistemas soft (SSM) que prevê sete passos que se organizam entre o mundo real e o pensamento sistêmico: iniciando no mundo real, identifica-se a situação problemática (normalmente desestruturada) e formula-se a situação problemática expressa (aquela que se pensa existir). Passando do mundo real ao pensamento sistêmico, identificam-se as definições-chave e elabora-se o modelo conceitual. Retornando ao mundo real, compara-se o modelo conceitual com a situação problemática expressa, identificam-se as mudanças possíveis e desejáveis e, por fim, propõe-se ações para a melhoria da situação problemática expressa. Este curso é direcionado para alunos de cursos de graduação em Engenharia de Produção, Administração e Sistemas de Informação e profissionais interessados em aprender modelagem interpretativa, direcionada para compreender um problema de natureza administrativa e propor ações de melhoria.

  View details: Modelagem de sistemas soft (SSM)
• Technology

  All levels

  Configure and Deploy AWS PrivateLink

  In this course you will learn to: - Configure and deploy AWS PrivateLink using the AWS Management Console - Create VPC endpoint services with network load balancers and private DNS - Learn to provide permissions to principals and how to accept connection requests - Explain AWS PrivateLink pricing

  View details: Configure and Deploy AWS PrivateLink