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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


  • D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Machine Learning, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    Искусственный Интеллект (ИИ) для всех

    Skills you'll gain: AI Product Strategy, Responsible AI, Technical Management, Project Management, Data Ethics, Artificial Intelligence, Data Science, Artificial Neural Networks, Machine Learning, Deep Learning, Recruitment, Sales

    4.9
    Rating, 4.9 out of 5 stars
    ·
    317 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Copyright for Multimedia

    Skills you'll gain: Intellectual Property, Data Sharing, Multimedia, Music, Video Production, Electronic Media, Law, Regulation, and Compliance, Photography

    4.6
    Rating, 4.6 out of 5 stars
    ·
    439 reviews

    Mixed · Course · 1 - 3 Months

  • T

    Technical University of Denmark (DTU)

    Whole genome sequencing of bacterial genomes - tools and applications

    Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Medical Science and Research, Database Development, Taxonomy, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • T

    The University of Sydney

    Information & Digital Literacy for University Success

    Skills you'll gain: Critical Thinking, digital literacy, Information Management, Research, Productivity, Data Sharing, Reliability, Organizational Skills, Ethical Standards And Conduct, Identity and Access Management, Intellectual Property

    4.9
    Rating, 4.9 out of 5 stars
    ·
    4.7K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Pearson

    Quick Start Guide to Large Language Models (LLMs)

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI API, Model Deployment, Embeddings, Transfer Learning, Generative Model Architectures, Multimodal Prompts, Generative AI, Cloud Deployment, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Cost Management, Machine Learning

    Intermediate · Specialization · 1 - 4 Weeks

  • I

    IBM

    Developing Front-End Apps with React

    Skills you'll gain: React Redux, Front-End Web Development, React.js, JavaScript Frameworks, Full-Stack Web Development, User Interface (UI), UI Components, Web Development, Javascript, Event-Driven Programming, Application Programming Interface (API), Dataflow

    4.4
    Rating, 4.4 out of 5 stars
    ·
    767 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Simplilearn

    LLM Fine-Tuning and Customization Training

    Skills you'll gain: LLM Application, LangChain, Responsible AI, Large Language Modeling, Model Deployment, OpenAI, Data Preprocessing, Hugging Face, Model Evaluation, Transfer Learning, Supervised Learning, Reinforcement Learning

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    파이썬의 데이터 과학 소개

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Analysis, Data Preprocessing, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

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

  • Explainable Machine Learning (XAI): Duke University
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Искусственный Интеллект (ИИ) для всех: DeepLearning.AI
  • Copyright for Multimedia: Duke University
  • Whole genome sequencing of bacterial genomes - tools and applications: Technical University of Denmark (DTU)
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Information & Digital Literacy for University Success: The University of Sydney
  • Quick Start Guide to Large Language Models (LLMs): Pearson
  • Developing Front-End Apps with React: IBM
  • LLM Fine-Tuning and Customization Training: Simplilearn

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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