Introduction to CSR: Corporate Social Responsibility

Business Intelligence with Microsoft Power BI - How to?Why Power BI? In a world of data Business Intelligence / Business Analytics is in high demand. We are living in a data driven society. This trend will continue to accelerate. Companies are constantly searching for ways to make better and faster and smarter decisions. This heavily involves getting insights from their data. Small company or multinational - data driven decision making is the key to success for ANY business in the world of tomorrow.Because of that companies are drastically looking out for skilled employees and freelancers with the necessary capabilities to help them analyze and understand their data, Since there is way more demand than supply it is a "War for talent". And the competition will increase further. This environment is a bless for anyone who acquires the necessary capabilities and positions herself/himselfSo back to the question. Why Power BI? Well, because...MS Power BI is an andvanced yet easy to get started self service business analytics / business intelligence solution provided by Microsoft which is currently in very hot demand. From my personal experience I can tell you that companies will actively searching for you and offer job opportunities if you manage to master Power BI.Power BI is also a great tool for datascience too. A lot of data scientists like to use it for visualizing and presenting the findings. Therefore learning to use this tool can also be a valuable skill for datascience jobs.What we learn in this course might also help you later with your Power BI certification exam.Update: The complete Power BI Masterclass Series on udemy (I have aggregated some classes together to provide more content value per class for you. I really hope that serves you better!1. Power BI Masterclass - beginners to advanced2. Micr

Artificial Intelligence is transforming every industry — from finance and marketing to HR and strategy.But most AI courses are too technical.This course is different.Designed specifically for MBA students, managers, entrepreneurs, and non-technical professionals, this course explains AI and Machine Learning in simple language using real business examples. What You’ll Learn1. Data Mining Concepts2. Understanding Supervised Unsupervised Learning3. Regressions - Simple Linear Regression, Multiple Linear Regression Logistics Regression4. KNN neighbour Decision Tree5. Random Forest, Boosting Lift Charts6. Principal Component Analysis7. Clustering Methods - Hierarchical Clustering, K mean Clustering DB Scan Method8. Recommendation System -Association Rule Mining Collaborative Filtering9. Text Analytics -Sentiment Analysis Topic Modelling 10. Understanding Neural Networks 11. Concept of Language Models12. AI Agents Agentic AI13. Issues with AI it's Future Challenges Who This Course Is ForMBA studentsBusiness professionalsEntrepreneursConsultantsManagers preparing for leadership rolesAnyone who wants AI knowledge without technical complexity This Course Is NOT ForHardcore programmers looking for deep codingAdvanced data scientists Why Learn From Me?Faculty Development Program trainerExperience teaching AI ML to non-technical audiencesBusiness-focused practical approachReal-world case studiesAfter this course, you will be able to:Explain AI and

This course contains the use of artificial intelligence.Are you using ChatGPT for business analysis, but still getting generic answers, weak summaries, or outputs that are not decision-ready?Many professionals do not fail because they lack information. They struggle because they have too much information, scattered across notes, market signals, competitor examples, customer issues, and business observations.This course shows you how to use AI to turn messy business information into clearer insight, stronger strategic options, and concise one-page business reports.This is not a generic AI course, a random prompt collection, or a theory-heavy MBA class.Instead, you will learn a practical analyst-style workflow for using AI to scan information, structure insights, compare options, challenge weak logic, and produce decision-ready business outputs.In this course, you will learn how to:Work with ChatGPT and other AI tools in a more structured, analyst-style wayScan markets and identify important external signalsAnalyse industry pressure using Porter’s Five ForcesAssess strengths, weaknesses, opportunities, and threats with more disciplineTurn SWOT findings into strategic options with TOWSSynthesize business analysis into clearer recommendationsChallenge weak logic using AI red teamingBuild a concise, decision-ready one-page executive briefThe course follows a clear progression.First, you will learn how to work with AI more effectively by giving it better structure, better context, and clearer analytical direction.Then, you will learn how to analyse external market signals, industry shifts, and competitive pressure.Next, you will assess internal position and generate more realistic strategic options.Finally, you will bring everything together into a clear executive-style recommendation and one-page business

This course is designed for professionals seeking to transform raw data into actionable insights that drive business decisions. With a focus on supply chain management, you will learn how to leverage Power BI’s robust features to analyze, visualize, and present data effectively.This course comes in four parts1. Introduction to BI: The journey commences with an exploration of Business Intelligence and its relevance in today's data-driven world.2. Why Power BI: The 7 Reasons to Choose Power BI: Understand the advantages of using Power BI for your analytics needs.3. Applications of Power BI:Installing Power BI Desktop: Step-by-step guide to getting started.Introduction to Power BI Desktop: Overview of features and functionalities.Building a Power BI Report: Hands-on steps with examples and simulations to create your first report.Connecting and Transforming Data: Learn how to import and prepare your data for analysis.Creating a Data Model: Build a robust data model to support your reports.Types of Tables in Power BI: Understand different table types and their applications.Types of Data Models: Explore various data modeling techniques.Calculating and Manipulating Data (DAX): Dive into DAX for powerful data manipulation.Visualizing Data: Create effective visualizations tailored to your audience.Power BI Service: Learn how to publish and share your reports online.Power BI Mobile: Optimize your reports for mobile access.4. Case Studies: Apply your skills to real-world supply chain scenarios, the course integrates theoretical learning with practical application, reinforcing your learning through real-world supply chain use cases.This is what you will learn:Transform Raw Data into Actiona

An efficient, well-thought out, strictly defined schedule that allows for inevitable delays and changes is the crux of a successful construction project. Scheduling encompasses everything from staff requirements and equipment needs to material delivery and inspections, and the effective scheduler must have a deep understanding of the construction process and workflow. This course describes the tools, techniques, and practices that make projects run smoothly, with invaluable insight from a construction professional. This online course includes over 19 hours of content in more than 80 instructional videos along with 18 step-by-step exercises with step by step solution videos.Table of Contents:Introduction to Planning and Scheduling Bar ChartsBasic NetworksThe Critical Path Method Precedence NetworkResource Allocation and Resource LevelingSchedule Updating Project ControlSchedule Compression and Time-Cost Trade-OffProgram Evaluation and Review Technique (PERT)Course Learning Outcomes:Apply critical thinking to issues in construction scheduling by providing a real-world glimpse of the realities of this complex function.Explain the numerous duties under the scheduling umbrella.Utilize the cutting-edge methods that keep a project on track.Examine different project schedule scenarios by analyzing the time, cost, and probability of activities.Build a project schedule using project scheduling software to plan a project.Course Textbook: Construction Project Scheduling and Control (4th Edition); Authors: Saleh Mubarak; Publisher: John Wiley Sons, Inc. ISBN: 978-1119499831

Seth Godin has been living on the cutting edge of media and technology for more than forty years. In this short and powerful course (more of a rant, actually) he'll share an attitude shift that's open to each of us.AI is coming, faster than any powerful technology in human history. It's natural and appropriate to be hesitant and even fearful, but once again, this shift is going to create a gap.Right here and right now, we each have a chance to lean into the opportunity that the change offers us.Instead of tips and tricks, this lecture takes you through the building blocks of shifting your approach to AI.Either you work for AI or it works for you.And working for AI is no fun.When the internet was new, people thought it was a sideshow. The early projects weren't of much import, but as it became clear that something real was happening, sites like Amazon, Yahoo and Google arrived. All of these were tiny at first, just a few people chasing a big idea.AI is more decentralized than this. You don't need venture capital or a building or a team. All that's needed is access to tools (which is already happening--if you can read this you already have the tools) and a shift in our attitude.That's where this course comes in. All the courses in the world about the tactics and tech of AI are worthless if we're not ready to embrace the change that they bring.There's a very brief window of time. In this moment, right here and right now, some folks are eagerly starting projects, building assets and creating values. Others, in a pattern we've seen again and again, are waiting, fearfully, ignoring what's happening and hoping for the best.You can do this. Right here, right now. Make a ruckus.