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Results for "basic "


  • C

    Coursera

    Unify Diverse Data Sources

    Skills you'll gain: Data Integration, Apache Kafka, Restful API, Data Infrastructure, Enterprise Security, Data Pipelines, Relational Databases, Databases, Real Time Data, Database Systems, Authentications

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Evaluate Storage for Data Warehousing Success

    Skills you'll gain: Data Warehousing, Data Architecture, Star Schema, Apache Hive, Snowflake Schema, Amazon Redshift, Data Storage, Data-Driven Decision-Making, Data Storage Technologies, Performance Testing, Data Processing, Analysis, Query Languages, Scalability, Technical Communication

    Beginner · Course · 1 - 4 Weeks

  • G

    Google

    Process Data from Dirty to Clean

    Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19K reviews

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Apply Advanced Statistical Modeling Using SPSS

    Skills you'll gain: Descriptive Analytics, SPSS, Logistic Regression, SPSS (Software), Regression Analysis, Correlation Analysis, Data Analysis, Statistical Modeling, Exploratory Data Analysis, Data Storytelling, Statistical Analysis, Predictive Modeling, Statistical Visualization, Scatter Plots, Probability & Statistics, Data Preprocessing, Data Visualization Software

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    AI Engineer Associate

    Skills you'll gain: Model Deployment, Model Evaluation, Unsupervised Learning, Transfer Learning, Tensorflow, Keras (Neural Network Library), Dimensionality Reduction, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, BeeAI, Data Preprocessing, Convolutional Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Python Programming, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Feature Engineering

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Foundations of AI Engineering

    Skills you'll gain: NumPy, Matplotlib, Statistical Methods, Data Visualization, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Applied Mathematics, Statistical Analysis, Exploratory Data Analysis, Data Science, Probability, Regression Analysis, Linear Algebra, Data Manipulation, Calculus

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Getting Started with Vector Databases and AI Embeddings

    Skills you'll gain: Vector Databases, Embeddings, Generative AI, Artificial Intelligence, Database Management Systems, Data Storage, Databases, Retrieval-Augmented Generation, Scalability, Information Architecture, Anomaly Detection, Unstructured Data

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Fundamentals of Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Accelerate Model Training with PyTorch 2.X

    Skills you'll gain: PyTorch (Machine Learning Library), Distributed Computing, Data Pipelines, Performance Tuning, MLOps (Machine Learning Operations), Deep Learning, AI Workflows, Model Deployment, Scalability, LLM Application, Hardware Architecture, Machine Learning, Computer Architecture

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

1…456…73

In summary, here are 10 of our most popular basic courses

  • Unify Diverse Data Sources: Coursera
  • Evaluate Storage for Data Warehousing Success: Coursera
  • Process Data from Dirty to Clean: Google
  • Apply Advanced Statistical Modeling Using SPSS : EDUCBA
  • AI Engineer Associate: Packt
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • Foundations of AI Engineering: Packt
  • Getting Started with Vector Databases and AI Embeddings: Packt
  • Fundamentals of Machine Learning: Packt
  • Accelerate Model Training with PyTorch 2.X: Packt

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