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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 Pennsylvania

    Business Analytics Capstone

    Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Operational Efficiency, Peer Review, Marketing Strategies, Data Analysis, Marketing Effectiveness, Data Strategy, Performance Measurement, Operations, Strategic Decision-Making, Business Strategy, Analysis, People Analytics, Business Metrics, Online Advertising, Digital Advertising, Presentations, Problem Management, Advertising

    4.5
    Rating, 4.5 out of 5 stars
    ·
    780 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    King Abdullah University of Science and Technology

    Fundamental Skills in Bioinformatics

    Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, Statistical Programming, R (Software), Unix Shell, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Data Visualization, Data Cleansing, Programming Principles, Pandas (Python Package), Python Programming, NumPy

    4.4
    Rating, 4.4 out of 5 stars
    ·
    94 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Methods and Statistics in Social Sciences

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Science and Research, Research Design, Sampling (Statistics), Research Reports, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Probability & Statistics, Social Sciences, Statistical Methods, Regression Analysis, Statistical Inference, Statistics, R Programming

    4.6
    Rating, 4.6 out of 5 stars
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    8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Applied Machine Learning, Statistical Methods, Statistical Machine Learning, Statistical Analysis, Statistical Hypothesis Testing, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design

    3.3
    Rating, 3.3 out of 5 stars
    ·
    107 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Correlation Analysis, Statistical Programming, Statistical Modeling, Logistic Regression, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
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    612 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference

    4.9
    Rating, 4.9 out of 5 stars
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    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Introduction to Statistical Analysis: Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, SAS (Software), Correlation Analysis, Statistical Software, Statistical Modeling, Regression Analysis, Exploratory Data Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Analysis, Graphical Tools, Predictive Modeling, Predictive Analytics, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    176 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Prompt Engineering Tools, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Generative Model Architectures, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, LLM Application, Recurrent Neural Networks (RNNs)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    61 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Cybersecurity

    Skills you'll gain: Cybersecurity, Security Controls, Cyber Attacks, Security Management, Security Strategy, Cyber Risk, Security Information and Event Management (SIEM), Information Assurance, Data Ethics, Network Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    42K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Linear Regression for Business Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Model Evaluation, Estimation, Data Analysis, Analytics, Data Transformation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust Programming

    Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, Application Deployment, DevOps, LLM Application, Continuous Integration, Hugging Face, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    310 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Business Analytics Capstone: University of Pennsylvania
  • Deep Learning with Keras and Tensorflow: IBM
  • Fundamental Skills in Bioinformatics: King Abdullah University of Science and Technology
  • Methods and Statistics in Social Sciences: University of Amsterdam
  • Causal Inference: Columbia University
  • Inferential Statistics: University of Amsterdam
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Introduction to Statistical Analysis: Hypothesis Testing: SAS
  • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
  • Foundations of Cybersecurity: 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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