Entrepreneurship, Business, And Marketing For Engineers

This course contains the use of artificial intelligence.Master Python programming by building 100 practical projects in 100 days. This hands-on course is designed for complete beginners, students, professionals, career changers, and aspiring developers who want to learn Python through real-world application rather than theory alone.You will begin with the foundations of Python for beginners, including variables, data types, print statements, user input, conditional logic, loops, functions, lists, dictionaries, tuples, sets, and error handling. Each concept is introduced through a practical project, helping you understand not only how Python works, but also how to use it to solve everyday problems.As you progress, you will learn file handling, CSV processing, JSON data, web scraping, APIs, dates, time, modules, and external Python libraries. You will create useful applications such as a password generator, contact book, weather app, student report generator, task scheduler, file organizer, automated backup tool, and social media scraper.The course also introduces object-oriented programming in Python. You will learn classes, objects, constructors, methods, inheritance, polymorphism, encapsulation, static methods, and class methods. Projects such as a bank account simulator, library management system, inventory application, employee management system, and mini ATM will help you develop strong software design skills.You will then explore Python GUI development using Tkinter. You will build desktop applications including a BMI calculator, login system, drawing pad, expense tracker, click counter, Pomodoro timer, to-do list, and personal diary app. These projects will show you how to turn Python scripts into interactive applications with buttons, forms, windows, and user-friendly interfaces.The web development section covers Flask, routes, templates, forms, databases, REST

Learn oracle Goldengate Veridata and be Oracle Goldengate Veridata Specialist.Oracle Goldengate Veridata is a management pack product which verifies the data between different objects of database ensuring no performance offset at database level. The product is getting very popular among corporates and organisation are looking for it as a must have skill along with Goldengate. The product can add lot of value and weight to your resume. Also if you are seeking for Goldengate certification then this course will help as certification also include questions related to Veridata. The course will demonstrate concepts and also you will gain loads of practical experience upon following the course and implementing practical guides.Oracle Goldengate veridata Overview and IntroductionJDK Download and InstallationWeblogic download and InstallationVeridata Download and InstallationVeridata ConfigurationDeploy AgentsDataSource ConnectionSetting up Veridata Compare PairsTuning and Performance of VeridataContent and Overview Suitable for Oracle Database Administrators, Oracle Goldengate Specialists and admin through this course you’ll learn all of the Oracle GoldenGate Veridata fundamentals. With every lecture, you will implement a hands-on practical exercise. To guide you on implementing the practices, the practice lectures are supported by video-based demonstrations and the downloadable guide documents.Starting with introducing Oracle GoldenGate veridata, this course will take you all the away from installing the software on a Linux platform, weblogic and JDK installation, deploying agents, setting up Veridata jobs and compare pairs up to tuning and improving the performance of Oracle Goldengate Veridata.This is an opportunity

Obtain skills in one of the most sort after fields of this centuryIn this course, you'll learn how to get started in data science. You don't need any prior knowledge in programming. We'll teach you the Python basics you need to get started. Here are some of the items we will cover in this courseThe Data Science ProcessPython for Data ScienceNumPy for Numerical ComputationPandas for Data ManipulationMatplotlib for VisualizationSeaborn for Beautiful VisualsPlotly for Interactive VisualsIntroduction to Machine LearningDask for Big DataPower BI DesktopGoogle Data StudioAssociation Rule Mining - AprioriDeep Learning Apache Spark for Handling Big DataFor the machine learning section here are some items we'll cover :How Algorithms WorkAdvantages Disadvantages of Various AlgorithmsFeature ImportancesMetricsCross-ValidationFighting OverfittingHyperparameter TuningHandling Imbalanced DataTensorFlow KerasAutomated Machine Learning(AutoML)Natural Language ProcessingThe course also contains exercises and solutions that will help you practice what you have learned. By enrolling in this course, you'll have lifetime access to the videos and Notebooks. Purchasing the course also comes with a 30-day money-back guarantee, so you can try it at no risk at all. Let's now add Data Science, Machine Learning, and Deep Learning to your CV. See you inside the course. The course also contains exercises and solutions that will help you practice what you have learned. By enrolling in this course

Managing a spatial database, or as some vendors call it, a geodatabase, requires some insight into spatial data, the collection of the data, different datatypes used to store the data, and the ultimate display of the data. This course is meant to give you more common ground with the GIS Professional, to do the best job of managing spatial data as a DBA, and see some differences in how spatial data is managed. The philosophy that is presented is that if you know something about the data, you will do a much better job of managing it as a DBA. So, in the introduction, a few examples are given about how spatial data is created. The DBA will have a better understanding why they should have some knowledge of coordinate systems. Some questions are provided to help you pick a coordinate system type to use, or understand why a certain coordinate system is currently being used. Some examples are provided for what different types of coordinate systems are used for in the real world. Participants are provided enough information to understand the basics of different types of geometries and datatypes that are used to store the spatial data. An introduction is given into the strategy of spatial data sharing in organizations. A section on operational considerations provides several overview lectures of subjects to think about. First, a lecture provides insight into how spatial data might be managed by one or all of three scenarios that have been experienced. A high level view of versioned spatial data and editing is then provided to show how ArcSDE operates. Since this class is an overview, only one editing Vendor situation is presented at a high level. The participant is provided some performance considerations that need to be thought about for spatial data operations. Each Vendor’s scenarios might be somewhat different, but these are ones that the instructor has experienced. </

This "Data Structures and Algorithms In Python" course is thoroughly detailed and uses lots of animations to help you visualize the concepts. This "Data Structures and Algorithms In Python" tutorial will help you develop a strong background in Data Structures and Algorithms (DSA). The course is broken down into easy to assimilate short lectures, and after each topic there is a quiz that can help you to test your newly acquired knowledge. The examples are explained with animations to simplify the learning of this complex topic. Complete working programs are shown for each concept that is explained.This Data Structures and Algorithms in Python course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap, searching and hashing. Various sorting algorithms with implementation and analysis are included in this tutorial.This Data Structures in Python course covers following DSA topics in Python with implementation :Algorithm Analysis, Big O notation, Time complexity, Singly linked list, Reversing a linked list, Doubly linked list, Circular linked list, Linked list concatenation, Sorted linked list.Stack, Queue, Circular Queue, Dequeue, Priority queue, Polish Notations, Infix to Postfix, Evaluation of Postfix, Binary Tree, Binary Search Tree, Tree Traversal (inorder, preorder, postorder, level order), Heap, Searching, HashingSorting : Selection, Bubble, Insertion, Shell, Merging, Recursive Merge, Iterative Merge, Quick, Heap, Binary tree, Radix, Address calculation sortHere are the DSA topics in course-Algorithm AnalysisLinked ListStack and QueueBinary TreeBinary Search TreeHeapSortingSearchingHashingThroughout this Data Structures and Algorithms in Python course, a step by step approach is followed

Have you been looking for a course to help you cover many aspects of Java programming, some of which you may know and some you probably never knew existed? Or have you been looking for best practices and techniques to speed up your development and increase your output and efficiency? Well, you've come to the right place!In this course, you will explore wonderful things you can do with Java 11 and 12 to improve your programming skills with proven techniques. With this course, you'll learn to implement some practical and tested techniques to avoid taking longer methods and you'll master a quicker way to develop applications using the Java 12 programming language. By the end of this course, you will have learned some exciting Java 12 tips, best practices, and techniques. You will be able to perform tasks and get the best out of your code much more easily and rapidly.About the AuthorsJanos Seteny is a programmer with comprehensive experience in developing and teaching. His most unique projects are a VBScript plugin for IntelliJ (a fully functional language plugin written in Java); a C header file transformation to Java interfaces; and an unstructured data parser for Imprint webpages that builds a Yellow Pages database. He has mastered various programming languages and also teaches at a university. All this, and his 25 years' experience, makes him the best teacher to choose.Vince Zoltan Varga is a software test engineer with demonstrable experience in quality assurance and teaching. He has been working in IT services for a decade; is skilled in automation (Java and Ruby) and test management; and has experience leading and training in a company environment. Unique projects he has implemented involve leading QA profession communities; optimizing applications with the help of NoSQL; and web-based, financial, controlling, accounting, and process-tracking systems developed in Java. He is a strong quality assurance professional, Certifi