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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


  • I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, Database Development, Database Systems, Databases, Database Management Systems, Database Management, Extract, Transform, Load, Database Software, Database Administration, PySpark, Apache Hive, Machine Learning Methods, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Model Evaluation

    ★ 4.5 (840) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Statistical Machine Learning, Data Preprocessing, Data Storage, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Model Evaluation, Descriptive Statistics

    ★ 3.8 (1.3K) · Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • U

    University of California, Davis

    Big Data, Artificial Intelligence, and Ethics

    Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Research Methodologies, AI literacy, Social Sciences, Applied Machine Learning, Responsible AI, Machine Learning, Ethical Standards And Conduct, Case Studies, Algorithms

    ★ 4.6 (736) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    Illinois Tech

    Data Analytics and Deep Learning

    Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Statistical Methods, Data Presentation, Generative AI, Convolutional Neural Networks, Transfer Learning, Analysis, Data Infrastructure, Machine Learning

    ★ 4.5 (40) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Model Deployment, Classification Algorithms, Data Transformation, Regression Analysis

    ★ 4.5 (114) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Strategy, Data Literacy, Data Analysis, Data-Driven Decision-Making, Project Design, Software Engineering, Machine Learning, Statistical Inference

    ★ 4.5 (8.4K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered

What brings you to Coursera today?

  • U

    University of Colorado Boulder

    Project Planning and Machine Learning

    Skills you'll gain: Machine Learning Algorithms, Big Data, Data Preprocessing, Analytics, File Systems, Data Analysis, Machine Learning, Applied Machine Learning, Internet Of Things, Supervised Learning, Product Planning, Data Storage Technologies, Unsupervised Learning, Data Storage, Project Planning, Plan Execution

    ★ 4.6 (132) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Pennsylvania

    AI For Business

    Skills you'll gain: AI Personalization, Machine Learning Methods, Fraud detection, Generative AI, Responsible AI, Data Ethics, Data Management, Data Strategy, People Analytics, HR Tech, Generative Model Architectures, AI Enablement, Human Resource Management, AI Product Strategy, Data Governance, Human Resources Management and Planning, Personalized Campaigns, Big Data, Machine Learning, Analytics

    ★ 4.7 (1.9K) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of California San Diego

    Machine Learning With Big Data

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Apache Spark, Classification Algorithms, Big Data, Model Training, Regression Analysis, Data Mining, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Statistical Analysis, Machine Learning Software, Machine Learning, Data Analysis, Unsupervised Learning, Machine Learning Algorithms, Data Wrangling, Descriptive Statistics, Data Transformation

    ★ 4.6 (2.5K) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    Edureka

    No-Code Data Science and Machine Learning

    Skills you'll gain: Model Evaluation, Data Analysis, Data Manipulation, Data Wrangling, Classification Algorithms, Data Collection, Image Analysis, Model Deployment, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing

    Intermediate · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Data Processing, Big Data, Cloud Computing, Data Science, Digital Transformation, Data-Driven Decision-Making, Data Storage, Deep Learning, Machine Learning

    ★ 4.7 (78K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Data Store, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Scalability, Machine Learning

    ★ 4.3 (343) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…76

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

  • NoSQL, Big Data, and Spark Foundations: IBM
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
  • Data Analytics and Deep Learning: Illinois Tech
  • Machine Learning with Apache Spark: IBM
  • A Crash Course in Data Science: Johns Hopkins University
  • Project Planning and Machine Learning: University of Colorado Boulder
  • AI For Business: University of Pennsylvania
  • Machine Learning With Big Data: University of California San Diego
  • No-Code Data Science and Machine Learning: Edureka

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)

Frequently Asked Questions about Big Data

Big data refers to the vast volumes of structured and unstructured data generated every second from various sources, including social media, sensors, and transactions. Its importance lies in the insights it can provide, enabling organizations to make informed decisions, enhance customer experiences, and drive innovation. In today's data-driven world, understanding big data is crucial for businesses to remain competitive and responsive to market changes.‎

A variety of job opportunities exist in the field of big data, ranging from data analysts and data scientists to big data engineers and business intelligence developers. These roles often involve analyzing complex datasets, developing data processing systems, and creating data-driven strategies. As organizations increasingly rely on data to guide their decisions, the demand for skilled professionals in big data continues to grow.‎

To succeed in big data, you should develop a mix of technical and analytical skills. Key skills include proficiency in programming languages such as Python or R, knowledge of big data technologies like Hadoop and Spark, and familiarity with data visualization tools. Additionally, understanding database management and statistical analysis will enhance your ability to interpret and manipulate large datasets effectively.‎

There are several excellent online courses available for those interested in big data. Notable options include the Big Data Specialization and the Data Analytics and Big Data Specialization. These programs offer comprehensive training in various aspects of big data, from foundational concepts to advanced analytical techniques.‎

Yes. You can start learning big data on Coursera for free in two ways:

  1. Preview the first module of many big data courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in big data, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn big data effectively, start by identifying your learning goals and the specific skills you want to acquire. Enroll in structured online courses or specializations that align with your interests. Engage with practical projects to apply what you learn, and consider joining online communities or forums to connect with others in the field. Consistent practice and exploration will help reinforce your knowledge and build confidence.‎

Typical topics covered in big data courses include data storage and processing frameworks, data mining techniques, machine learning algorithms, and data visualization strategies. Courses often explore tools like Hadoop, Spark, and SQL, as well as concepts related to data ethics and privacy. This comprehensive curriculum equips learners with the necessary knowledge to navigate the complexities of big data.‎

For training and upskilling employees in big data, courses like the Big Data Processing Using Hadoop Specialization and the Modern Big Data Analysis with SQL Specialization are highly recommended. These programs focus on practical skills and real-world applications, making them ideal for workforce development.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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