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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


  • C

    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Docker (Software), Agentic systems, Generative AI, Generative Model Architectures, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • D

    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Statistical Programming, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    ★ 4.8 (2.8K) · Beginner · Course · 1 - 3 Months

  • P

    Packt

    Building LLM Powered Applications

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Responsible AI, Large Language Modeling, Hugging Face, Multimodal Prompts, Generative AI, Generative Model Architectures, Retrieval-Augmented Generation, Generative AI Agents, Risking, AI Orchestration, Fine-tuning, Python Programming, Vector Databases, Machine Learning, Agentic systems, Data Science

    Beginner · Course · 3 - 6 Months

  • G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Machine Learning Software, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Finance

    ★ 4 (898) · Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    Use AI as a Creative or Expert Partner

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Patterns, AI powered creativity, Generative AI Agents, AI Personalization, LLM Application, Agentic Workflows, Ideation, Scenario Testing, Solution Design, Software Versioning

    ★ 4.8 (2.3K) · Beginner · Course · 1 - 4 Weeks

  • U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Network Model, Electrophysiology, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Sensory Systems Analysis, Matlab, Mathematical Modeling, Computer Vision, Neurology, Mathematical Software, Recurrent Neural Networks (RNNs), Physiology, Biology, Differential Equations, Probability Distribution

    ★ 4.6 (1.1K) · Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    AI for Medical Diagnosis

    Skills you'll gain: Model Evaluation, Patient Evaluation, Data Preprocessing, Diagnostic Tests, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Predictive Analytics, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Radiology

    ★ 4.7 (2.1K) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Pixels, Waveforms & Words: Engineering Multimodal AI Systems

    Skills you'll gain: Model Optimization, Image Analysis, Transfer Learning, Fine-tuning, Multimodal Prompts, Model Evaluation, Technical Documentation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Model Training, Embeddings, Systems Design, Ethical Standards And Conduct, Large Language Modeling, Root Cause Analysis, Deep Learning

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, Generative AI, Responsible AI, IBM Cloud, Data Ethics, AI Workflows, Python Programming, Software Development, Machine Learning, Data Science

    ★ 4.7 (82K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Top AI Program
    Top AI Program
  • G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    ★ 4.8 (620) · Advanced · Course · 1 - 3 Months

  • B

    Board Infinity

    Cloud Platforms for ML: AWS, Azure & GCP Deployment

    Skills you'll gain: AWS SageMaker, Serverless Computing, Google Cloud Platform, Cloud Deployment, Model Deployment, AI Integrations, Cloud Platforms, Cloud Computing, Amazon Web Services, Microsoft Azure, MLOps (Machine Learning Operations), Applied Machine Learning, Enterprise Architecture, Data Pipelines, Amazon S3, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Python Machine Learning By Example

    Skills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Reinforcement Learning, Model Optimization, Deep Learning, Large Language Modeling, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Transfer Learning, Natural Language Processing, Tensorflow, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Convolutional Neural Networks

    Intermediate · Course · 3 - 6 Months

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

  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera
  • Inferential Statistics: Duke University
  • Building LLM Powered Applications: Packt
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Use AI as a Creative or Expert Partner: Google
  • Computational Neuroscience: University of Washington
  • AI for Medical Diagnosis: DeepLearning.AI
  • Pixels, Waveforms & Words: Engineering Multimodal AI Systems: Coursera
  • IBM AI Developer: IBM
  • The Nuts and Bolts of Machine Learning: Google

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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