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Microsoft Excel - Beginner to Advance with Example

Meet Doshi • 200000+ students

4.4(175.7K students)

Self-paced

All Levels

About this course

In this course you are going to learn, daily excel equations which are widely used in daily life with short cut. No prior knowledge is required. We have taken example to teach easily so one can learn from basic with example.

Example here taken to send email to the specific person directly from excel by using one button and navigating to the outlook in easy way. You are going to learn1. Basic excel equations widely used in2.

Hands on experience to the excel with understanding of basic and widely use shortcuts3. Analytical dashboard creation - Pie chart, Bar chart4. Data filtration, Border, Sr No., Format Painter5.

Email shooting by using VBA from excel to specific users from outlook using single button6. Codes used in VBA7. Data Validation - Drop Down List creation8.

IF, Nested if, if(And) command as a equation9. Use of Conditional Formatting with Example10. Remove Duplicates value in Excel11.

Linking from excel to mail (You can shoot mail by clicking button from excel directly)12. Bar Chart, Pie Chart Creation - Dashboard13. Understanding of VLOOKUP14.

Index - Match equation for arranging and fetching right data15. Data Filter - Analyze data16. Password Protected Mail shooting directly from excel17.

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Level: All Levels

Suitable for learners at this level

Duration: Self-paced

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Instructor: Meet Doshi • 200000+ students

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This course includes:

📹Video lectures
📄Downloadable resources
📱Mobile & desktop access
🎓Certificate of completion
♾️Lifetime access

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Are you preparing for a DevOps interview? Want to boost your confidence and stand out from the competition?This course is your one-stop guide to mastering DevOps interview questions from beginner to expert level. Whether you're a developer, system admin, QA engineer, or aspiring DevOps professional, this course will equip you with the technical depth and practical insight needed to ace your next DevOps interview.What You’ll Learn:Core DevOps principles, practices, and workflowsIn-depth knowledge of build tools including Maven, Gradle, and GroovyHands-on understanding of version control with Git and GitHubContinuous Integration and Continuous Deployment using Jenkins and other toolsMastery of Docker, containerization, and virtualization conceptsMonitoring and logging with Splunk, Log4j, and NagiosAWS cloud services frequently asked in DevOps interviewsLinux fundamentals, shell scripting, cron jobs, and permissionsDevOps security and testing best practicesReal-world DevOps interview questions with expert answersWho Is This Course For:Aspiring DevOps EngineersSoftware Developers transitioning into DevOpsSystem Administrators and Infrastructure EngineersQA professionals exploring CI/CD and automationAnyone preparing for technical DevOps interviewsWhy Take This Course:With a strong focus on interview success, this course goes beyond theory. You will learn how to:Understand and explain key DevOps tools and conceptsSolve real interview problems and answer behavioral questionsApproach technical rounds with clarity and confidence

Discrete Math: Master Discrete Mathematics

Math Hub: Math Instructor, IIT Graduate, Former NVIDIA Engineer

Welcome to this Discrete Math course.Discrete Mathematics is the math of distinct, countable objects (like integers or steps) rather than continuous, smooth lines (like calculus). It is the backbone of modern technology. It provides the core rules and logic required for programming, digital networks, computer security, and data analysis. In this course, you will be learning the core of Discrete Mathematics, namely: 1. "Set Theory (Sets), Relations and Functions" - Sets, Relations and Functions form an integral part of Discrete Math. Many important fields like Computer Science,Actuarial Science, Data Science, Artificial Intelligence (AI) and many more use Set Theory, Relations and Functions. They are considered to be the base from where all the other branches of mathematics are derived.2. " Discrete Mathematical Induction (MI)" - Mathematical Induction plays a very important role in Computer Programming and Algorithm Correctness Proofs. Usually coders have to write a program codeand then a correctness proof to prove the validity that the program will run fine for all cases. Mathematical Induction plays a very important role there. Mathematical Induction is also an indispensable tool for Mathematicians. Mathematicians use induction to conclude the truthfulness of infinitely many Mathematical Statements and Algorithms.This Discrete Math course will not only help you master the core concepts of Set Theory, Relations, Functions, and Discrete Mathematical Induction, but will also make you confident in applying them practically. After completing this Discrete Mathematics course, you will be able to:define aSETand represent the same in different forms; (Set Theory)define different types of sets such as, finite and infinite sets, empty set, singleton set, equivalent sets, equal sets, sub sets, proper subsets, supersets, give examples of each kind of set, and solve problems based on them; (Set Theory)define union and intersection of two sets, and solve problems based on them; (Set Theory)define universal set, complement of a set, difference between two sets, and solve problems based on them; (Set Theory)define Cartesian product of two sets, and solve problems based on them; (Set Theory)represent union and intersection of two sets, universal sets, complement of a set, difference between two sets by Venn Diagram; (Set Theory)solve problems based on Venn Diagram; (Set Theory)defineRELATIONand quote examples of relations; (Relations)find the domain and range of a relation; (Relations)represent relations diagrammatically; (Relations)define different types of relations such as, empty relation, universal relation, identity relation, inverse relation, reflexive relation, symmetric relation, transitive relation, equivalence relation, and solve problems based on them; (Relations)defineFUNCTIONand give examples of functions; (Functions)find the domain, codomain and range of a function; (Functions)define the different types of functions such as injective function (one-to-one function), surjective function (onto function), bijective function, give examples of each kind of function, and solve problems based on them; (Functions)define and give examples of even and odd functions; (Functions)figure out if any given function is even, odd, or neither from graphs as well as equations; (Functions)define composition of two functions; (Functions)find the composition of functions; (Functions)define the inverse of a function; (Functions)find the inverse of any given function; (Functions)find the domain and range of the inverse function; (Functions)define ThePrinciple ofDISCRETEMATHEMATICALINDUCTIONand use it for Proving Mathematical Statements; (Mathematical Induction)Mathematical Induction for"Proving the Sum of an Arithmetic Progression"; (Mathematical Induction)Mathematical Induction for"Proving the Sum of squares of first n natural numbers"; (Mathematical Induction)Mathematical Induction in"Proving the Divisibility"; (Mathematical Induction)Mathematical Induction in"Proving the Inequality"; (Mathematical Induction)Mathematical Induction for "Proving the Sum of a Geometric Progression"; (Mathematical Induction)Mathematical Induction ina"Brain Teasing Real World Problem"; (Mathematical Induction)Mathematical Induction for"Proving a result from Geometry"; (Mathematical Induction)Mathematical Induction in "The Towers of Hanoi"; (Mathematical Induction) andLearn to use Mathematical Induction to do Computer Program/Algorithm Correctness proofs. (Mathematical Induction)We recommend this Discrete Math course to everyone who is a Mathor a Computer Science student, or any Working Professional in the field of Computer Science, Data Science, Artificial Intelligence (AI), Computer Programming and Algorithms, Quantum Computing, or any other area which involves programming, data analysis, computer security and digital networks.

Generative AI & Prompt Engineering: Practice Exams

Udemy Instructor

Artificial Intelligence is no longer just a futuristic concept; it is the daily operating system of modern business. However, there is a massive difference between casually asking ChatGPT a question and engineering a prompt that reliably automates a complex workflow. Welcome to the Generative AI & Prompt Engineering practice assessments! In today’s job market, companies are actively seeking professionals who know how to control, constrain, and optimize Large Language Models (LLMs) to perform specific enterprise tasks without inventing false information (hallucinating).This comprehensive practice test course provides you with 200 expertly crafted, highly unique practice questions designed to simulate the rigorous challenges faced by modern AI operators. Across these four rigorous practice exams, you will be thrown into high-stakes development and business scenarios. You will test your ability to structure prompts that generate secure backend code for fintech apps, design Retrieval-Augmented Generation (RAG) pipelines to summarize massive university research papers, and utilize Chain of Thought reasoning to analyze messy recruitment data.Every single question in this course is unique and includes a detailed explanation of the "why" behind the correct prompt engineering strategy. By reviewing these explanations, you will learn industry-standard methodologies for interacting with AI APIs: When should you turn the Temperature to 0.0? Why is Few-Shot prompting better than writing a massive block of instructions? How do you prevent an AI customer support bot from hallucinating a fake refund policy? If you want to future-proof your career and master the most important technological shift of our generation, this is your ultimate testing ground. Enroll today and start engineering!Course locale: English (US) Course instructional level: All Levels Course category: IT & Software Course subcategory: Other IT & Software

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Microsoft Excel - Beginner to Advance with Example

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