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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.


More to explore:

Popular Big Data Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    466 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Presentation, Scalability, Data Processing, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Big Data

    Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    813 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Engineering

    Skills you'll gain: NoSQL, Apache Spark, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, IBM Cognos Analytics, MySQL, Database Administration, Data Store, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Statistical Visualization, Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Mart, Data Science, Data Warehousing, Data Visualization, Analytics, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Big Data Processing Using Hadoop

    Skills you'll gain: Apache Hadoop, Big Data, Apache Hive, Apache Spark, NoSQL, Data Infrastructure, File Systems, Data Processing, Data Management, Analytics, Data Science, Databases, SQL, Query Languages, Data Manipulation, Java, Data Structures, Distributed Computing, Scripting Languages, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Analytics and Big Data

    Skills you'll gain: Database Design, Relational Databases, Database Systems, Database Management, NoSQL, Databases, Database Development, SQL, Big Data, Model Evaluation, Apache Hadoop, Database Management Systems, MySQL, Statistical Analysis, Data Visualization, Database Theory, Data Analysis, Exploratory Data Analysis, Transaction Processing, Data Preprocessing

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    76 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Hadoop & Big Data Foundations Mastery Course

    Skills you'll gain: Apache Hive, Apache Mahout, NoSQL, Apache Hadoop, Extract, Transform, Load, Big Data, Data Warehousing, Data Pipelines, Cloud Management, Application Deployment, Databases, SQL, Performance Tuning, Data Processing, File Systems, Real Time Data, Query Languages, Database Management, Data Transformation, Scalability

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Cloud Services, Cloud Deployment, Apache Hadoop, Apache Hive, Application Programming Interface (API), Jupyter, Data Storage, Data Architecture, Data Quality, Advanced Analytics, Ad Hoc Analysis, Serverless Computing, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Software Architecture for Big Data

    Skills you'll gain: Service Level, Database Management, Acceptance Testing, Software Engineering, Web Applications, Performance Testing, Scalability, Microservices, Software Architecture, Data Architecture, Distributed Computing, Data Infrastructure, System Monitoring, Functional Requirement, Application Deployment, User Acceptance Testing (UAT), Application Development, Prototyping, Predictive Modeling, Big Data

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    ·
    102 reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    Big Data Technologies and Applications

    Skills you'll gain: Big Data, Data Processing, Data Analysis, Analytics, Data Lakes, Data Warehousing, Apache Spark, Data Storage Technologies, Apache Hadoop, Real Time Data, Distributed Computing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

1234…755

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

  • Introduction to Big Data with Spark and Hadoop: IBM
  • Big Data: University of California San Diego
  • Introduction to Big Data: University of California San Diego
  • NoSQL, Big Data, and Spark Foundations: IBM
  • IBM Data Engineering: IBM
  • Introduction to Data Analytics: IBM
  • Big Data Processing Using Hadoop: Johns Hopkins University
  • Data Analytics and Big Data: Illinois Tech
  • Hadoop & Big Data Foundations Mastery Course: EDUCBA
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud

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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