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Fundamentals of Programming(JAVA)

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Fundamentals of Java Programming   Q) Distinguish between variables and keywords. Variables Definition: Variables are named storage locations used to hold data (like numbers, text, etc.) that your program can manipulate. Created by the programmer. Can store different types of data (int, float, String, etc.). The name must follow Java's naming rules (e.g., can't start with a number, no special characters except _ and $, can't be a keyword). The value of a variable can change during program execution. Ex: int var=25; Char ch; Keywords Definition: Keywords are reserved words in Java that have a specific meaning to the compiler and cannot be used as identifiers (like variable names or class names). Predefined and fixed in the language. Used to define the structure and syntax of Java programs. Cannot be redefined or used for any other purpose. Ex: static, class, if, public etc Q) Distinguish between Logical and Relational operators  Relational Operators Definition: Relation...
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Business Intelligence with Power BI

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  Business intelligence Business Intelligence Life cycle / Phases of BI: The Business Intelligence (BI) life cycle refers to the series of steps and processes involved in gathering, storing, analyzing, and delivering data-driven insights to support decision-making within an organization. This cycle typically consists of several stages: Data Source Identification:  The BI life cycle begins with identifying and selecting relevant data sources. These sources can include databases, spreadsheets, web services, and more. The quality and reliability of data sources are crucial in this stage. Data Extraction:  Once data sources are identified, data needs to be extracted from these sources and transformed into a format suitable for analysis. This process may involve cleaning, filtering, and structuring the data. Data Storage:  Extracted and transformed data is stored in a data warehouse or data mart. Data warehouses are designed to efficiently store and manage large volumes o...
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Predictive Analytics with Python

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 Installation steps: 1.Download and install GNU GNU 2. Download and install ANACONDA ANACONDA Open anaconda prompt in your device (windows / start menu) Type the following command to check version python --version Type the following command to update ANACONDA conda update --all --yes Wait till the updating process is complete. once its done, close anaconda prompt 3. Open Anaconda Prompt start jupyter by running this command jupyter notebook choose chrome browser once its opened in browser, click new --> python 3 start coding. -------------------------------------------------------------------------------------------------------- Datasets: Datasets (Drive) ================================================================ Content Predictive Modelling: Predictive modeling is a statistical or machine learning approach that aims to forecast future outcomes or trends by analyzing historical data. It is employed to make informed decisions, optimize processes, and gain valuable insights ...
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IT for Business (MBU-SCM)

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  COURSE CONTENT   Module 1: Introduction to Information Technology                                            Computer Systems - Hardware - I/O Devices, Memory Devices, Processors - Software - Classification of Software - Systems Software, Application Software - Operating System - Definition - Types of OS - Understanding of GUI - Networks - Definition - Types of Network - LAN, WAN - Network Topologies - Physical Communication Media - TCP/IP, OSI Model.                  Module 2: Introduction to Information System                                                  Definition of Data, Information & Knowledge, IS - MIS, DSS, Expert Systems - Types of IS - Operation, Tactical, Strat...
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