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Big Data Courses

Most Popular

Big data programs with the most enrollments in the past 12 months.

IBM
Introduction to Data Science
IBM
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Rated 4.6 out of five stars. 55340 reviews
4.6(55,340)
Beginner
specialization

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Showing 505 total results for "big data"

  • Big Data by University of California San Diego
    Big Data
    University of California San Diego
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.5 out of five stars. 12144 reviews
    4.5(12,144)
    310k students
    Coursera Plus
    Beginner LevelBeginner
  • Google Data Analytics by Google
    Google Data Analytics
    Google
    PROFESSIONAL CERTIFICATE
    Filled StarFilled StarFilled StarFilled StarFilled Star
    Rated 4.8 out of five stars. 4061 reviews
    4.8(4,061)
    120k students
    Coursera Plus
    Beginner LevelBeginner
  • Big Data – Introducción al uso práctico de datos masivos by Universitat Autònoma de Barcelona
    Big Data – Introducción al uso práctico de datos masivos
    Universitat Autònoma de Barcelona
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.6 out of five stars. 2332 reviews
    4.6(2,332)
    39k students
    Coursera Plus
    Beginner LevelBeginner
  • Introduction to Data Science by IBM
    Introduction to Data Science
    IBM
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.6 out of five stars. 55340 reviews
    4.6(55,340)
    520k students
    Beginner LevelBeginner
  • Data Engineering, Big Data, and Machine Learning on GCP by Google Cloud
    Data Engineering, Big Data, and Machine Learning on GCP
    Google Cloud
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.6 out of five stars. 14495 reviews
    4.6(14,495)
    200k students
    Coursera Plus
    Intermediate LevelIntermediate
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    Introduction to Big Data
    University of California San Diego
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.6 out of five stars. 9605 reviews
    4.6(9,605)
    250k students
    Coursera Plus
    Mixed LevelMixed
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    Big Data Essentials: HDFS, MapReduce and Spark RDD
    Yandex
    COURSE
    Filled StarFilled StarFilled StarFilled StarStar
    Rated 4 out of five stars. 520 reviews
    4(520)
    48k students
    Coursera Plus
    Intermediate LevelIntermediate
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    Data Engineering Foundations
    IBM
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.6 out of five stars. 26457 reviews
    4.6(26,457)
    360k students
    Beginner LevelBeginner
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    Modern Big Data Analysis with SQL
    Cloudera
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarFilled Star
    Rated 4.8 out of five stars. 959 reviews
    4.8(959)
    42k students
    Coursera Plus
    Beginner LevelBeginner
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    Advanced Data Science with IBM
    IBM
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.3 out of five stars. 2676 reviews
    4.3(2,676)
    100k students
    Advanced LevelAdvanced
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    Executive Data Science
    Johns Hopkins University
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.5 out of five stars. 9885 reviews
    4.5(9,885)
    220k students
    Coursera Plus
    Beginner LevelBeginner
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    Data Science with Databricks for Data Analysts
    Databricks
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.4 out of five stars. 137 reviews
    4.4(137)
    5.9k students
    Coursera Plus
    Intermediate LevelIntermediate
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    Data Engineering with Google Cloud
    Google Cloud
    PROFESSIONAL CERTIFICATE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.6 out of five stars. 14697 reviews
    4.6(14,697)
    210k students
    Coursera Plus
    Intermediate LevelIntermediate
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    Fundamentals of Big Data
    LearnQuest
    COURSE
    Coursera Plus
    Mixed LevelMixed
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    Emerging Technologies: From Smartphones to IoT to Big Data
    Yonsei University
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.7 out of five stars. 1297 reviews
    4.7(1,297)
    63k students
    Coursera Plus
    Beginner LevelBeginner
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    Graph Analytics for Big Data
    University of California San Diego
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.3 out of five stars. 1162 reviews
    4.3(1,162)
    40k students
    Coursera Plus
    Mixed LevelMixed
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    Big Data with Scala and Spark
    Coursera Project Network

    NEW

    GUIDED PROJECT
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.4 out of five stars. 7 reviews
    4.4(7)
    Coursera Plus
    Intermediate LevelIntermediate
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    Big Data, Genes, and Medicine
    The State University of New York
    COURSE
    Filled StarFilled StarFilled StarFilled StarStar
    Rated 4.2 out of five stars. 214 reviews
    4.2(214)
    25k students
    Coursera Plus
    Advanced LevelAdvanced
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    Data-driven Decision Making
    PwC
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.6 out of five stars. 5417 reviews
    4.6(5,417)
    140k students
    Beginner LevelBeginner
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    Introduction to Data Engineering
    IBM
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.7 out of five stars. 44 reviews
    4.7(44)
    3.1k students
    Beginner LevelBeginner

Searches related to big data

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big data analysis with scala and spark

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big data, genes, and medicine

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big data analysis: hive, spark sql, dataframes and graphframes

big data essentials: hdfs, mapreduce and spark rdd

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

  • Big Data: University of California San Diego
  • Google Data Analytics: Google
  • Big Data – Introducción al uso práctico de datos masivos: Universitat Autònoma de Barcelona
  • Introduction to Data Science: IBM
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Introduction to Big Data: University of California San Diego
  • Big Data Essentials: HDFS, MapReduce and Spark RDD: Yandex
  • Data Engineering Foundations: IBM
  • Modern Big Data Analysis with SQL: Cloudera
  • Advanced Data Science with IBM: IBM

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)
Recommender Systems (9)

Frequently Asked Questions about Big Data

  • “Big data” is a term widely used to describe our data-rich world, in which virtually every activity generates a digital data footprint that can be collected and analyzed. While data and data analysis are not necessarily new, the effective use of the extremely large - and rapidly-growing - datasets of today require new approaches to data management.

    In order to harness big data for important applications like machine learning and artificial intelligence, you need more than an Excel spreadsheet or a traditional relational database and SQL. Instead, an entire data infrastructure is necessary to collect and process this data at scale, including data pipelines, data lakes, and data warehouses.

    To make this possible, data engineers rely on new approaches to data processing such as MapReduce, developed by Google, the open-source Apache Hadoop ecosystem including Apache Spark and Apache Hive, and, increasingly, cloud computing and cloud database platforms like Cloudera.‎

  • With companies in practically every industry eager to discover ways to harness the power of big data in their operations, having a background in this area can open doors to a wide range of careers. Operations managers at manufacturing or logistics companies may harness data to improve their demand forecasting, inventory planning, and process efficiency; digital marketers use marketing analytics to better understand their customers and the effectiveness of their messaging; and “quants” at hedge funds rely on data-based financial engineering approaches to move millions of dollars in milliseconds.

    Understanding how big data applications are built and what they are capable of can thus be incredibly valuable even if you aren’t a data engineer or data scientist yourself. However, if you have the expertise and desire to work directly with big data yourself, data engineers are responsible for building the data infrastructure capable of reliably and efficiently delivering big data at scale, and data scientists are responsible for using a wide range of analytic and programming approaches to uncover insights from it.

    These two roles are in extremely high demand, and command salaries to match. According to Glassdoor, data engineers earn an average annual salary of $102,864, and data scientists earn an average annual salary of $113,309.‎

  • Yes - in fact, Coursera is one of the best places to learn about big data. You can take individual courses and Specializations spanning multiple courses on big data, data science, and related topics from top-ranked universities from all over the world, from the University California San Diego to Universitat Autònoma de Barcelona. Coursera also offers the opportunity to learn from industry leaders in the field like Google Cloud, Cloudera, and IBM, including options to get professional certificates.‎

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