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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
    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
    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Predictive Modeling, Data Presentation, Machine Learning, Collaborative Software, Data Analysis, Predictive Analytics, Technical Communication, Machine Learning Algorithms, Statistical Analysis, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Descriptive Statistics, Regression Analysis, Python Programming, Text Mining, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    217 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Academic English: Writing

    Skills you'll gain: Grammar, Peer Review, Writing, Editing, Writing and Editing, Organizational Skills, Research, Proofreading, Report Writing, Research Reports, Research Methodologies, Literacy, Critical Thinking, English Language, Planning, Style Guides, Persuasive Communication, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K 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
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Google Cloud Platform, Generative AI Agents, Model Deployment, Tensorflow, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, Prompt Engineering, Machine Learning Software, CI/CD, Generative AI, Model Evaluation, Cloud Infrastructure, Cloud Computing

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

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Java and Spring Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Generative AI Agents, Model Deployment, Restful API, Software Design Documents, Software Design, AI Integrations, Application Deployment, AI literacy, Software Architecture, Agentic Workflows, Continuous Integration, Software Development, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Java Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI: Fundamentals, Applications, and Challenges

    Skills you'll gain: Generative AI, Responsible AI, AI literacy, Risking, AI Security, Social Impact, Intellectual Property, Leadership and Management, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    214 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Developer Associate (AZ-204) Exam Prep

    Skills you'll gain: Cloud Deployment, Cloud Development, Microsoft Azure, Serverless Computing, Software Development, Cloud Security, Virtual Machines, Data Store, Data Storage, Continuous Deployment, Development Environment, Cloud Storage, Cloud Management, Application Deployment, Cloud Applications, Virtualization and Virtual Machines, Data Security, Cloud Computing, Microsoft Power Automate/Flow, C# (Programming Language)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    300 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Sales Operations: Automation, Analytics & Strategy

    Skills you'll gain: Sales Strategy, Sales Process, Microsoft Copilot, Sales Operations, Sales Enablement, Responsible AI, Generative AI Agents, Anthropic Claude, Sales, Report Writing, HubSpot CRM, Email Automation, Generative AI, Business Process Automation, Automation, Workflow Management, Customer Relationship Management, Forecasting, Revenue Forecasting, Data-Driven Decision-Making

    4.3
    Rating, 4.3 out of 5 stars
    ·
    126 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    S

    SAS

    Statistical Thinking for Industrial Problem Solving, presented by JMP

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Process Controls, Correlation Analysis, Statistics, Data-Driven Decision-Making, Statistical Modeling, Statistical Hypothesis Testing, Statistical Methods, Statistical Software, Probability & Statistics, Regression Analysis, Statistical Inference, Predictive Analytics, Data Analysis, SAS (Software), Scatter Plots, Experimentation, Analytical Skills, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    101 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Structured Approach to Problem Solving

    Skills you'll gain: Human Centered Design, Problem Solving, Critical Thinking and Problem Solving, Critical Thinking, Analytical Skills, Data Science, Decision Making, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    165 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Responsible Generative AI

    Skills you'll gain: Responsible AI, Generative AI, Governance, Data Governance, Data Management, Data Ethics, Compliance Management, Consumer Behaviour, AI literacy, Governance Risk Management and Compliance, AI powered creativity, AI Enablement, Social Impact, Business Risk Management, Law, Regulation, and Compliance, Stakeholder Analysis, Decision Intelligence, Risking, Leadership and Management, Risk Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    390 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Foundations of Cybersecurity: Google
  • Machine Learning Capstone: IBM
  • Academic English: Writing: University of California, Irvine
  • Causal Inference: Columbia University
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Generative AI for Java and Spring Developers: IBM
  • Generative AI: Fundamentals, Applications, and Challenges: University of Michigan
  • Microsoft Azure Developer Associate (AZ-204) Exam Prep: Microsoft
  • GenAI for Sales Operations: Automation, Analytics & Strategy: Coursera
  • Statistical Thinking for Industrial Problem Solving, presented by JMP: 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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