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Big Data Courses

Big Data courses can help you learn data analysis, data visualization, statistical modeling, and data mining techniques. You can build skills in interpreting large datasets, designing data-driven strategies, and utilizing machine learning algorithms. Many courses introduce tools like Hadoop, Spark, and Tableau, that support processing vast amounts of information and presenting insights effectively. Additionally, you may explore topics such as data warehousing, predictive analytics, and the ethical implications of data usage.


Popular Big Data Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Text Mining in Python

    Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Classification Algorithms, Feature Engineering, Data Manipulation, Python Programming, Unsupervised Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    B

    Board Infinity

    Google Analytics: Quick Wins and Hacks for Marketers

    Skills you'll gain: Google Analytics, Marketing Analytics, Web Analytics, Marketing Effectiveness, Campaign Management, Digital Marketing, Target Audience, Customer Insights, Analytics, Performance Analysis, A/B Testing, Dashboard, Performance Metric, Content Strategy

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    C

    Coursera

    Detect AI Anomalies: Real-Time Outliers

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SkillUp

    Foundations of AI in Healthcare

    Skills you'll gain: Clinical Informatics, Clinical Research, Artificial Intelligence, MLOps (Machine Learning Operations), Health Informatics, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    데이터 과학이란 무엇인가?

    Skills you'll gain: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Digital Transformation, Big Data, Data Analysis, Business Analytics, Regression Analysis, Analytics, Apache Hadoop, Health Informatics, Deep Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    LLM Engineer’s Handbook

    Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, Hugging Face, MLOps (Machine Learning Operations), OpenAI, Prompt Engineering, Model Deployment, AWS SageMaker, Extract, Transform, Load, Embeddings, Data Pipelines, CI/CD, Vector Databases, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    GIS, Mapping, and Spatial Analysis

    Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Geospatial Information and Technology, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Typography, Data Manipulation, Data Storytelling, Data Modeling, Design Elements And Principles, Image Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: SAS (Software), Model Evaluation, Logistic Regression, Predictive Modeling, Classification And Regression Tree (CART), Big Data, Regression Analysis, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Computer Vision, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

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1…146147148…766

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

  • Applied Text Mining in Python: University of Michigan
  • Google Analytics: Quick Wins and Hacks for Marketers: Board Infinity
  • Detect AI Anomalies: Real-Time Outliers: Coursera
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Foundations of AI in Healthcare: SkillUp
  • 데이터 과학이란 무엇인가?: IBM
  • Introduction to Machine Learning: Duke University
  • LLM Engineer’s Handbook: Packt
  • GIS, Mapping, and Spatial Analysis: University of Toronto
  • Predictive Modeling with Logistic Regression using SAS : SAS

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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