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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 Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sports Performance Analytics

    Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Exercise Science, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, People Analytics, Data Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    281 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    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
    Rating, 4.8 out of 5 stars
    ·
    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Inference

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

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

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad Austral

    Estadística aplicada a los negocios

    Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Analytics, Statistics, Risk Modeling, Sampling (Statistics), Microsoft Excel, Sample Size Determination, Data Analysis, Statistical Methods, Risk Management, Probability, Statistical Analysis, Probability & Statistics, Data-Driven Decision-Making, Statistical Reporting, Quantitative Research, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    789 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    B

    Board Infinity

    AI Image Generation in Python: Stable Diffusion & LoRA

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    Tableau Learning Partner

    Introduction to Business Analytics

    Skills you'll gain: Data Literacy, Tableau Software, Business Analysis, Analytics, Business Analytics, Business Intelligence, Data Analysis, Data-Driven Decision-Making, Business Intelligence Software, Project Management, Descriptive Analytics, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    497 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Transformers for NLP and Computer Vision

    Skills you'll gain: Vision Transformer (ViT), Generative AI, OpenAI API, ChatGPT, Fine-tuning, Generative Model Architectures, Responsible AI, Retrieval-Augmented Generation, Large Language Modeling, Natural Language Processing, AI powered creativity, Multimodal Prompts, Hugging Face, OpenAI, AI Orchestration, Transfer Learning, Generative AI Agents, Embeddings, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    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, Machine Learning, Statistical 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
    Rating, 4.8 out of 5 stars
    ·
    640 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, AI literacy, Brainstorming, AI powered creativity, Email Automation, Ideation, Timelines, AI Enablement, LLM Application, AI Personalization, Taking Meeting Minutes, Concision, Large Language Modeling, Business Writing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Machine Learning: Classification: University of Washington
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Sports Performance Analytics: University of Michigan
  • Inferential Statistics: Duke University
  • Statistical Inference: Johns Hopkins University
  • Estadística aplicada a los negocios: Universidad Austral
  • Computational Neuroscience: University of Washington
  • AI Image Generation in Python: Stable Diffusion & LoRA: Board Infinity
  • Introduction to Business Analytics: Tableau Learning Partner
  • Transformers for NLP and Computer Vision: Packt

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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