Generative AI for Business Analysts

For anyone interested to learn any ERP product there are 2 steps. Functional knowledge of specific domain - like supply chain, manufacturing, finance etc. ERP product specific knowledge, which is required towards setup configuring the product based on business needs.Generally the functional knowledge is considered as a prerequisite to learn ERP.It is recommended couple of years of experience one need to have in the industry towards gaining functional knowledge post which one can learn become an expert in ERP.But, what if any one new or a college fresher wishes to acquire this functional knowledge by going through a course?. This is where you would hardly find a course which will cater this need. So this course is designed in such a way it provides you with the core business functional knowledge on SCM, Manufacturing Finance(though it does not teach accounting concepts).The course covers following topics:•Real life mapping to ERP•Business Models • What are different Business models • Business flows in ERP • Different well known ERP vendors•What is cloud? • Cloud vs On-premise real life example • Cloud model – Difference and deployment.•Understanding core business flows in ERP • Order to Cash business flow •Overview on drop ship•Inventory to fulfilment flow •ABC analysis, BOM, WIP, Cost Management.•Procure to Pay business

This course contains the use of artificial intelligence.Product Managers are already using AI in their daily work — to draft documentation, structure backlogs, summarize research, and prepare stakeholder meetings. This adoption often happens informally, without a clear method or understanding of how to control the output.As a result, AI becomes part of the workflow before it becomes part of the skillset.The question is no longer whether AI should be used in product management.The question is whether it is used with structure, clarity, and professional judgment.This course teaches how to work with Claude intentionally — as a practical tool for everyday product tasks.You will learn how to use Claude for backlog management, stakeholder preparation, research structuring, product communication, and decision support. You will also understand how Claude interprets prompts and how to control results through structured instructions and clear constraints.By the end of the program, Claude will not feel like an experiment. It will become a structured part of how you think, write, and prepare as a Product Manager.What You’ll LearnUse Claude to structure backlogs and product ideasPrepare stakeholder discussions more efficientlyOrganize research insights with clarityApply structured prompt design for consistent outputsUse AI responsibly in a professional contextAfter Completing This Course, You Will Be Able ToIntegrate Claude into your daily product workflowWork faster without losing structureCommunicate decisions more clearlyUse AI as a thinking partner — not a shortcutRequirementsBasic understanding of product managementWillingness to practice structured thinkingNo prior experience with

Master the Fundamentals of Statistics and Elevate Your Data Analysis Skills!Are you looking to build a strong foundation in statistics for data science, analytics, and decision-making? This beginner-to-intermediate level course is designed to simplify complex statistical concepts with real-world applications, helping you gain confidence in data analysis, hypothesis testing, and regression modeling.What You’ll Learn: Module 1: Introduction to Statistics – Understand the role of statistics in data science types of datakey distinctions between descriptive inferential statistics.Module 2: Descriptive Statistics – Learn about measures of central tendency (mean, median, mode)Measure of dispersion (range, variance, standard deviation)visualize data using histograms, box plots, and scatter plots.Module 3: Probability Basics – Master probability conceptsconditional probabilityBayes’ theorem Module 4: Probability Distributions – Understanding Discrete and Continuous Probability distributions Binomial DistributionPoisson DistributionNormal DistributionExponential DistributionCentral Limit Theorem(CLT)Module 5: Inferential Statistics – Dive into sampling techniquesWhat is confidence intervalshypothesis testing Types of errorst-tests z-testsUnderstanding chi-square testModule 6: Regression Correlation – 1. Understanding correlation and Causation2. Linear Regression Analysis-hands on exerci

NOTE: "This course contains the use of artificial intelligence."NOTE: "This course contains the use of artificial intelligence."I am disable from voice and I used Artificial intelligence voice.Tableau is one of the world’s leading tools for data visualization and business intelligence, helping individuals and organizations turn raw information into meaningful insights. This beginner-friendly course is designed to take you from absolutely no experience to creating professional, interactive dashboards that clearly communicate your data story.Throughout the course, you will explore all the essential features of Tableau, starting from connecting data sources and understanding the interface to creating charts, maps, filters, and advanced visualizations. Step-by-step, you will learn how to clean, transform, and analyze data using intuitive drag-and-drop tools. You will also practice building fully functional dashboards that combine multiple visual components into cohesive, interactive reports that users can explore.This course focuses on real-world examples, practical exercises, and hands-on learning. Whether you want to boost your career, enhance your business reporting, or start a journey into data analytics, this course equips you with the right foundation. By the end, you will have the confidence to import data, build complex dashboards, publish your work, and use Tableau effectively in any analytics workflow.Join today and start transforming data into powerful visuals that inspire action and support strong decision-making.

This comprehensive course provides learners with a structured, practical journey into the world of Business Process Architecture and Performance Management. It equips you with the knowledge and tools needed to design, classify, map, and evaluate business processes in a way that strengthens organizational performance and operational clarity.You will explore how processes form the backbone of any organization and how a well-designed process architecture supported by a clear taxonomy and standardized tools creates alignment, transparency, and measurable value. The course also introduces international frameworks such as APQC’s Process Classification Framework, SIPOC modeling, RACI matrices, and value-analysis techniques (VA / NVA / NNVA), enabling you to build processes that are both efficient and high-performing.By the end of this course, you will be able to structure process hierarchies, classify different types of processes, evaluate process contribution to value, eliminate waste, and design proper process flows using recognized best practices.What You’ll GainA Solid Understanding of Process ArchitectureHow processes connect, interact, and create organizational valueHow to build and visualize an enterprise-level process architectureMastery of Process Types and TaxonomyKey differences between core, support, and management processesHow to construct a structured process taxonomy that aligns with business strategyApplication of APQC Process Classification Framework as a global referenceEssential Modeling ToolsHow to draft an effective SIPOC diagram: Suppliers, Inputs, Process, Outputs, CustomersHow to use the RACI matrix to clarify roles, responsibilities, and process ownershipValue Contribution and Waste EliminationUnderstanding Value-Added (V

This course contains the use of artificial intelligence. Hybrid work changed the rules—but most teams were never given a playbook.If your calendar is overloaded with meetings, decisions get lost across Slack and email, or remote teammates feel left out of office conversations, you’re not alone. Hybrid teams face unique communication challenges that traditional office or fully remote strategies don’t solve.This course gives you a clear, practical framework for communication and collaboration in hybrid environments.In just three focused hours, you’ll learn how to:• Decide when to meet and when to message• Structure meetings that produce real decisions• Run inclusive hybrid meetings where remote voices are heard• Use asynchronous communication to reduce interruptions• Create clear documentation that prevents confusion• Select the right communication channel for the situationYou’ll build a repeatable system for sync vs. async decision-making, structured meeting facilitation, async-first communication habits, and tool clarity—without learning software buttons or chasing productivity hacks.This course is designed for managers and individual contributors working in hybrid teams. Whether you lead meetings or simply attend too many of them, you’ll gain frameworks you can apply immediately.No fluff. No theory overload. Just practical structures that help hybrid teams communicate clearly, collaborate effectively, and reduce unnecessary meetings.If hybrid work feels chaotic, this is your instruction manual.