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    • Apache Spark

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    54 results for "apache spark"

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      IBM

      AI Workflow: Enterprise Model Deployment

      Skills you'll gain: Python Programming, Machine Learning, Mobile Development, Cross Platform Development, Recommender Systems, Operations Management, Computer Programming, Data Management, Cloud Computing, Apache Spark, Statistical Programming, Cloud API, Strategy and Operations, Modeling

      4.1

      (46 reviews)

      Advanced · Course · 1-4 Weeks

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      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Unix Shells, R Programming, Modeling, Econometrics, Graphic Design, Security, Theoretical Computer Science, Data Structures, Data Warehousing, Algorithms, Regression, Machine Learning Algorithms, Statistical Tests, Statistical Programming, Inference, Entrepreneurship, Programming Principles, Analysis, Probability Distribution, Probability, Computer Graphics, Statistical Analysis, Deep Learning, Writing, Data Visualization, Computer Programming, Security Strategy, SQL, Data Clustering Algorithms, Linearity, Graphs, Databases, Business Analysis, Data Analysis, Hypothesis, General Statistics, Artificial Neural Networks, Data Management, Operations Research, Security Engineering, Human Resources, Research and Design, Data Model, Decision Making, Interview, Machine Learning, Linear Regression, Database Theory, Statistical Hypothesis Testing, Computer Vision, Probability & Statistics

      Earn a degree

      Degree · 1-4 Years

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      IBM Skills Network

      IBM AI Engineering

      Skills you'll gain: Algorithms, Analysis, Apache, Applied Machine Learning, Artificial Neural Networks, Basic Descriptive Statistics, Big Data, Business Analysis, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Correlation And Dependence, Data Analysis, Data Management, Data Structures, Databases, Deep Learning, Dimensionality Reduction, Econometrics, Entrepreneurship, General Statistics, Image Processing, Machine Learning, Machine Learning Algorithms, Mathematics, NoSQL, Probability & Statistics, Probability Distribution, Python Programming, Regression, SQL, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Supply Chain Systems, Supply Chain and Logistics, Tensorflow, Theoretical Computer Science

      4.6

      (14.8k reviews)

      Intermediate · Professional Certificate · 3-6 Months

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      IBM Skills Network

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: Algorithms, Apache, Big Data, Cloud Computing, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Data Management, Database Theory, Databases, Distributed Computing Architecture, Extract, Transform, Load, Graph Theory, IBM Cloud, Kubernetes, Machine Learning, Machine Learning Algorithms, Mathematics, Network Architecture, NoSQL, SQL, Statistical Programming, Theoretical Computer Science

      4.2

      (201 reviews)

      Beginner · Specialization · 3-6 Months

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      Databricks

      Data Science with Databricks for Data Analysts

      Skills you'll gain: Algorithms, Apache, Applied Machine Learning, Big Data, Business Analysis, Computer Programming, Data Analysis, Data Management, Data Structures, Databases, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, SQL, Statistical Analysis, Statistical Programming, Theoretical Computer Science

      4.5

      (392 reviews)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      Fundamentals of Scalable Data Science

      Skills you'll gain: Python Programming, Basic Descriptive Statistics, Apache, Distributed Computing Architecture, Correlation And Dependence, Machine Learning, Data Visualization, Statistical Visualization, SQL, Probability Distribution, Computer Architecture, Data Management, Cloud Computing, Databases, Dimensionality Reduction, Apache Spark, Data Analysis, Big Data, Computer Programming, Statistical Programming, Probability & Statistics, IBM Cloud, Programming Principles, General Statistics, Plot (Graphics)

      4.3

      (2k reviews)

      Beginner · Course · 1-4 Weeks

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      École Polytechnique Fédérale de Lausanne

      Functional Programming Principles in Scala

      Skills you'll gain: Euler'S Totient Function, Computer Programming Tools, Other Programming Languages, Algorithms, Functional Programming, Programming Principles, Theoretical Computer Science, Computer Programming, Data Management, Data Structures

      4.8

      (8.1k reviews)

      Intermediate · Course · 1-3 Months

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      Free

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      École Polytechnique Fédérale de Lausanne

      Functional Programming Principles in Scala (Scala 2 version)

      4.9

      (24 reviews)

      Intermediate · Course · 1-3 Months

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      École Polytechnique Fédérale de Lausanne

      Big Data Analysis with Scala and Spark (Scala 2 version)

      Intermediate · Course · 1-4 Weeks

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      Microsoft

      Perform data science with Azure Databricks

      Skills you'll gain: Business Analysis, Cloud Computing, Probability & Statistics, Data Management, Data Analysis, Big Data, Apache, Applied Machine Learning, Statistical Machine Learning, Exploratory Data Analysis, Statistical Programming, Machine Learning, Computer Programming, Microsoft Azure

      4.2

      (11 reviews)

      Intermediate · Course · 1-3 Months

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      Databricks

      Applied Data Science for Data Analysts

      Skills you'll gain: Applied Machine Learning, Mathematics, Data Clustering Algorithms, Machine Learning, Bias, Supervised Learning, Dimensionality Reduction, Statistical Classification, Feature Engineering, Algorithms, Machine Learning Algorithms, Data Management, Computer Programming, Data Structures, Statistical Programming, Theoretical Computer Science, General Statistics, Probability & Statistics

      4.3

      (29 reviews)

      Intermediate · Course · 1-3 Months

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      LearnQuest

      Data Processing with Azure

      Skills you'll gain: Python Programming, Data Management, Cloud Computing, Data Engineering, SQL, Extract, Transform, Load, Cloud Storage, General Statistics, Statistical Programming, Computer Programming, Extract, Probability & Statistics

      3.7

      (64 reviews)

      Intermediate · Course · 1-3 Months

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    In summary, here are 10 of our most popular apache spark courses

    • AI Workflow: Enterprise Model Deployment: IBM
    • Master of Science in Data Science: University of Colorado Boulder
    • IBM AI Engineering: IBM Skills Network
    • NoSQL, Big Data, and Spark Foundations: IBM Skills Network
    • Data Science with Databricks for Data Analysts: Databricks
    • Fundamentals of Scalable Data Science: IBM Skills Network
    • Functional Programming Principles in Scala: École Polytechnique Fédérale de Lausanne
    • Functional Programming Principles in Scala (Scala 2 version): École Polytechnique Fédérale de Lausanne
    • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
    • Perform data science with Azure Databricks: Microsoft

    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 Apache Spark

    • Apache Spark is an open source analytics framework for large-scale data processing with capabilities for streaming, SQL, machine learning, and graph processing. Apache Spark is important to learn because its ease of use and extreme processing speeds enable efficient and scalable real-time data analysis.

      Apache Spark can process in-memory on dedicated clusters to achieve speeds 10-100 times faster than the disc-based batch processing Apache Hadoop with MapReduce can provide, making it a top choice for anyone processing big data. Spark is also easy to use, with the ability to write applications in its native Scala, or in Python, Java, R, or SQL. This versatility and accessibility helps startups harness the powerful data science they need for cutting edge innovation.

      Spark also provides the scalable machine learning needed by artificial intelligence (AI) engineers to create applications that can transform the way we interact with digital technology, from recommendation algorithms on services like Netflix and Spotify to automated medical screening.‎

    • Many careers in data science benefit from skills in Apache Spark, as software development engineers, data scientists, data analysts, and machine learning engineers use Spark on a daily basis. These roles are in high demand and are thus highly compensated; according to Glassdoor, machine learning engineers earn an average salary of $114,121 per year.

      Machine learning engineers design and build self-learning software and monitor its iterations to fine tune how models perform when they are scaled up and put into service. These professionals need a background in both software engineering and data science, and are increasingly being hired in a wide variety of fields such as education, healthcare, and finance. As machine learning continues to expand into many more fields, the need for machine learning engineers will continue to grow.‎

    • Yes! Coursera offers a wide range of popular online courses and Specializations on data science in general and Apache Spark specifically, including courses in related topics like scalable machine learning, distributed computing, and big data analysis. You’ll learn from top-ranked institutions and organizations like the University of California Davis, the University of California San Diego, École Polytechnique Fédérale de Lausanne, and IBM, so you don’t have to sacrifice the quality of your education for the flexibility of learning remotely.

      Coursera also offers the courses needed to work towards the IBM AI Engineering Professional Certificate. And, if you want to take your data science education to the next level, Coursera provides you with the opportunity to pursue a Master of Science in Data Science through the University of Colorado.‎

    • Because Spark works in application programming interfaces like Scala, Java, and Python, it helps to have a good grasp of one or more of these programming languages. Other prerequisites may vary depending on the level of the course you're taking. While beginner-level courses allow you to become familiar with Apache Spark and develop skills as you go, intermediate or advanced courses may require additional skills or experience within data science or computer programming. As you progress with learning Apache Spark, you'll develop the skills needed to read and write data to a variety of sources, parse different types of data, work within the artificial intelligence and machine learning arena, and transform data to leverage insights from it.‎

    • People with a passion for data science and a desire to gain increased access to big data are well suited to learning Apache Spark. This tool opens a variety of opportunities for users to explore big data and leverage it to solve key problems within organizations. Additionally, Spark offers a faster pace for machine learning workloads, with large scale data processing capability that's exponentially faster than other tools like Hadoop. Because Apache Spark is on the front lines of innovation within AI and big data, those with an innate sense of curiosity and a desire to innovate are among those best suited to learning Spark and working in relevant roles.‎

    • If you want to work within big data, learning Apache Spark could be a good move for you. This unified analytics engine is particularly popular because of its speed, the libraries that come with it, robust APIs, and its support for multiple programming languages. Additionally, it could be a smart career move depending on your aspirations. Demand continues to surge for professionals who can leverage Spark's power. In February 2021, Indeed.com listed more than 1,800 open positions looking for full-time Apache Spark professionals across multiple industries. Additionally, according to Databricks, learning Apache Sparks could give you a boost in your earning potential.‎

    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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