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Results for "practical demos"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    XML Practical - Web Development with XML

    Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Java, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Data Mapping, Data Validation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Persistent Data, Monitoring & Cost Optimization in AKS

    Skills you'll gain: Role-Based Access Control (RBAC), Cloud Management, Application Lifecycle Management, Capacity Management, Application Performance Management, Virtual Networking, API Gateway, Scalability, Large Language Modeling

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    XML Practical - Document Object Model

    Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Javascript, Web Development Tools, Scripting

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Houdini Destruction: Build, Fracture & Simulate

    Skills you'll gain: 3D Modeling, Visualization (Computer Graphics), Simulations, Animations, Computer Graphics, Data Pipelines, Debugging

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Practical Data Science for Data Analysts

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Feature Engineering, Model Evaluation, Data Import/Export, Matplotlib, Data Science, Regression Analysis, Financial Data, Data Analysis, Exploratory Data Analysis, Business Analytics, Data Cleansing, Pandas (Python Package), Machine Learning Algorithms, Statistical Visualization, Financial Analysis, Statistical Modeling, Statistical Analysis, Predictive Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    28 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    EDUCBA

    Azure Practical - App Services

    Skills you'll gain: Cloud Applications, Cloud Deployment, Event-Driven Programming, Virtual Networking, Restful API, Cloud Infrastructure, Authentications, Application Programming Interface (API), Serverless Computing, Web Services, Virtual Machines, Authorization (Computing), Microsoft SQL Servers, Network Routing, Load Balancing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Regression Analysis - Fundamentals & Practical Applications

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Linear Algebra, Model Evaluation, Supervised Learning, Exploratory Data Analysis

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Azure Practical - Cognitive Services

    Skills you'll gain: AI Personalization, Anomaly Detection, Microsoft Azure, Computer Vision, Image Analysis, Artificial Intelligence, Natural Language Processing, Cloud API, Data-Driven Decision-Making, Text Mining, Application Programming Interface (API), Time Series Analysis and Forecasting, Web Services, Restful API

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Practical Deep Learning with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Practical Data Wrangling with Pandas

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Pandas (Python Package), Data Visualization, Descriptive Statistics, Data Manipulation, Data Transformation, Data Analysis, Statistics, Data Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Classification - Fundamentals & Practical Applications

    Skills you'll gain: Classification Algorithms, Model Evaluation, Machine Learning Algorithms, Logistic Regression, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Supervised Learning, Data Modeling, Analytics, Analysis, Data Analysis, Business Metrics, Feature Engineering, Advanced Analytics, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Data Visualization, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    P

    Pearson

    Practical Splunk for Beginners

    Skills you'll gain: Splunk, Dashboard, Ad Hoc Reporting, Data Visualization Software, Event Monitoring, Security Information and Event Management (SIEM), Statistical Analysis, Software Installation, Analytics, Data Analysis, Anomaly Detection, Big Data, Query Languages

    Beginner · Course · 1 - 4 Weeks

1…91011…406

In summary, here are 10 of our most popular practical demos courses

  • XML Practical - Web Development with XML: EDUCBA
  • Persistent Data, Monitoring & Cost Optimization in AKS: Packt
  • XML Practical - Document Object Model: EDUCBA
  • Houdini Destruction: Build, Fracture & Simulate: EDUCBA
  • Practical Data Science for Data Analysts: Corporate Finance Institute
  • Azure Practical - App Services: EDUCBA
  • Regression Analysis - Fundamentals & Practical Applications: Corporate Finance Institute
  • Azure Practical - Cognitive Services: EDUCBA
  • Practical Deep Learning with Python: Edureka
  • Practical Data Wrangling with Pandas: Coursera

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