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  • Data Visualization Techniques

Results for "data visualization techniques"


  • C

    Coursera

    SQL Infrastructure: Secure and Optimize

    Skills you'll gain: Root Cause Analysis, Data Security, Problem Management, Site Reliability Engineering, Capacity Management, Resource Management, Identity and Access Management, Role-Based Access Control (RBAC), Compliance Auditing, Configuration Management

    Advanced · Course · 1 - 4 Weeks

  • G

    Google

    Start Writing Prompts like a Pro

    Skills you'll gain: Multimodal Prompts, Prompt Engineering, Responsible AI, Context Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Query Spatial with PostGIS

    Skills you'll gain: Spatial Data Analysis, GIS Software, Geographic Information Systems, Spatial Analysis, Query Languages, SQL, PostgreSQL, Database Development, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Track Marketing Goals with Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Google Ads, Marketing Effectiveness, Web Analytics and SEO, Smart Goals, Content Performance Analysis, Digital Marketing, Customer Insights, Analytics, Goal Setting, Trend Analysis, Performance Analysis, Data Analysis, Performance Metric, Data-Driven Decision-Making

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Integrate Embeddings and Chroma

    Skills you'll gain: Vector Databases, LangChain, Data Integration, Retrieval-Augmented Generation, Prompt Engineering, AI Orchestration, OpenAI

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Defend Against GenAI Social Engineering Attacks

    Skills you'll gain: Cybersecurity, Threat Modeling, AI Enablement, AI Personalization, Artificial Intelligence, Incident Response, Deep Learning

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze Employee Performance Using Excel Pivot Tables

    Skills you'll gain: Pivot Tables And Charts, Excel Formulas, Microsoft Excel, Case Studies, Performance Analysis, Variance Analysis, Trend Analysis, Data Manipulation, Human Resources Information System (HRIS), Budgeting, Employee Performance Management, Performance Measurement, Business Analysis, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring

    Beginner · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Apply Dart Programming from Fundamentals to Advanced

    Skills you'll gain: Scalability, Application Design, Event-Driven Programming, Object Oriented Programming (OOP), Functional Design, Application Development, User Flows, Computer Programming, Software Architecture, Debugging, Development Environment, Mobile Development, Data Validation, Data Analysis

    Beginner · Specialization · 1 - 3 Months

  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Machine Learning Methods, Image Analysis, Data Preprocessing, Model Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Responsible AI, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Cloud Storage, Generative AI, Infrastructure As A Service (IaaS), Big Data, Data Analysis, Data Science, Natural Language Processing, Robotics, Business Logic, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    106K reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular data visualization techniques courses

  • SQL Infrastructure: Secure and Optimize: Coursera
  • Start Writing Prompts like a Pro: Google
  • Query Spatial with PostGIS: Coursera
  • Build Predictive & Supervised Models: Coursera
  • Track Marketing Goals with Google Analytics: Coursera
  • Integrate Embeddings and Chroma: Coursera
  • Analyze and Defend Against GenAI Social Engineering Attacks: EDUCBA
  • Analyze Employee Performance Using Excel Pivot Tables: EDUCBA
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Apply Dart Programming from Fundamentals to Advanced: EDUCBA

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