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IT Certification | Software, Hardware & Networking Courses Institute

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Diploma in Data Science

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    DATA SCIENCE:

    Data science is a branch of functional mathematics and statistics that produces useful information from massive amounts of composite data, also referred to as big data.

    Data science, also known as data-driven science, is a branch of science that uses computation to interpret massive amounts of data for decision-making purposes.

    • Data science uses methods similar to machine learning and artificial intelligence to extract relevant information and predict future patterns and behaviours.
    • The internet, social media and technological advancements have all increased access to big data.
    • The field of data science is growing as technology advances, big data collection and analysis techniques become more sophisticated.

    Topics:

    • PYTHON
    • MACHINE LEARNING
    • ARTIFICIAL INTELLIGENCE
    • SQL
    • DATA SECURITY

    PYTHON

    MACHINE LEARNING

    ARTIFICIAL INTELLIGENCE

    • Introduction to Python
    • Python Interpreter
    • Basics of Python
    • Control Flow
    • Functions
    • Modules
    • Package
    • Numeric Types
    • String
    • List
    • Tuple
    • Dictionary
    • Set
    • Files

     

    And Many More…

    • Introduction to Machine Learning 
    • Data preprocessing & Regression Techniques
    • K-Nearest neighbours
    • Support Vector Machine
    • Random Forest
    • Naive Bayes
    • Decision Tree
    • Clustering
    • Gradient Descent
    • Natural Language Processing
    • Deep Learning

    And Many More…

    • Introduction ARTIFICIAL INTELLIGENCE
    • Dimensionality Reduction
    • Artificial Neural Network  
    • Convolution Neural Network
    • Reinforcement  Learning 
    • Natural Language Processing
    • Computer vision

     

    And Many More…

    SQL

    DATA SECURITY

    • Introduction to Oracle Database
    • Retrieve Data using the SQL SELECT Statement
    • Learn to Restrict and Sort Data
    • Usage of Single-Row Functions to Customize Output
    • Invoke Conversion Functions and Conditional Expressions
    • Aggregate Data Using the Group Functions
    • Display Data From Multiple Tables Using Joins
    • Use Subqueries to Solve Queries
    • The SET Operators
    • Data Manipulation Statements
    • Use of DDL Statements to Create and Manage Tables
    • Other Schema Objects
    • Control User Access

     

     

    And Many More…

    ● Introduction of DATA SECURITY
    ● Data Privacy
    ● Device Security Tools
    ● Cyber Crimes
    ● Common Attacks
    ● Mitigation
    ● Social Engg Threats
    ● Cyber Law


    And Many More…