Certifications
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Software Developer
  • Programming Foundation of Fundamental and Databases.
  • Succeeding in Web Development: Full Stack and Front End, HTML, CSS, JavaScript, Java, C#, Python, SQL and more.
  • Understanding of Web Security.
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    Programming Fundamentals
  • Introduction of Programming, Writing source code, basic statement and expressions, working with numbers and string and more.
  • Increasing your efficiency with functions, making decissions in code, troubleshooting errors.
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    Programming Database
  • Introduction of Database, Relational databases, keys and unique values and more.
  • Planning Database, Creating tables, defined relationships, normalization and denormalization, writing queries, sorting results, joining tables, modifying data, etc.
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    Web Development
  • Introduction of Web Development, types of web developers
  • The role of HTML, CSS, and JavaScript, Server technologies, choose the right tools, good way to write backbone of the web page.
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    HTML
  • Overview HTML (Hypertext Markup Language)
  • div, paragraph, links, inline block elements and more.
  • header, nav, footer, aside, section and more.
  • html forms, svg etc.
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    CSS
  • Overview CSS (Cascading Style Sheets)
  • Writing basic selectors, setting properties, working with the box model, grid and flexbox, float and position properties.
  • Setting a font family, font size, text color, and more.
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    JavaScript
  • Overview, Output, Comments.
  • Learn How To Use JavaScript For Web Development & Web Design.
  • How To Easily Build Functional Websites From Scratch Using JavaScript.
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    Python
  • Overview Python Programming, string operations,
  • User input, condition operation.
  • List, Function, Modules, try catch, exception, file-system
  • Functional, Regular expressions, projects, game-design.
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    Java
  • Overview of Object oriented programming and Inbuilt Function
  • Classes, Constructor, Getter and Setter.
  • Inheritence, polymorphism, children, module sub-module and more.
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    C#
  • Overview of Object oriented programming and Inbuilt Function
  • Classes, Constructor, Getter and Setter.
  • Inheritence, polymorphism, children, module sub-module and more.
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    SQL
  • Overview how to crete database design
  • Database design in MySQL workbench
  • Joins, Set and Querying operation
  • Window function query optimization,Programming constructs and Stored functions.
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    Web Security
  • Overview of web security, how to secure the website.
  • Threat Models, least privilege, defense in depth, Validating and sanitizing input, credential attacks, sql injection, cross-security scripting.
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    CLI
  • A command-line interface (CLI) is a text-based user interface (UI) used to run programs, manage computer files and interact with the computer. Command-line interfaces are also called command-line user interfaces, console user interfaces and character user interfaces.
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    Data Analyst
  • Overview of Data Analyst.
  • Learning Excel, data fluency exploring and describing data, excel statistics and more.
  • Power BI, Data Visualization, Tableau, etc.
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    Excel Data Analyst
  • Overview of Data Analyst using Excel
  • Distinguish between the mean, median, and mode. Describe the relationship between variance and standard deviation.
  • Point out the difference between COVARIANCE.P and COVARIANCE.S.
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    Data Fluency
  • The ROI of the data fluency
  • Data ethics, prepare data, assessing the quality of data, visualizing data with bar, pie and line charts, Describing variability with the variance and standard deviation.
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    Excel Statistics
  • Review the Excel statistical formulas for finding mean, median, and mode.
  • Differentiate statistical nomenclature when calculating variance. Identify components when graphing frequency polygons.
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    Power BI
  • Overview of Power BI
  • Distinguish between different data types in Power BI.
  • Correlate the similarities between visualizations in Power BI, Identify the outcomes when changes are made within Power BI and Power BI Desktop.
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    Data Visualization
  • Overview of Data Visualization
  • Review the appropriate use of charts in data visualizations.
  • Define the process involved in applying interactivity to data visualizations, Differentiate the use of the Ws in data visualization.
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    https://raw.githubusercontent.com/hirishu10/my-assets/main/svg/Certification/tableau.png
    Tableau
  • Overview of Tableau to use Data Analysing better than excel.
  • Interpret how to use the features and functions of Tableau when creating charts, Describe how best to manage data in a worksheet or visualization, Explain how to manage data for different chart formats.
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