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    • Big Data
    Related topics:data engineeringbig data analyticshadoopapache stormetldata

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    495 results for "big data"

    • University of Pennsylvania

      University of Pennsylvania

      Omnichannel Retail Strategy

      Skills you'll gain: Accounting, Big Data, Business Analysis, Data Analysis, Data Management, Entrepreneurship, FinTech, Finance, Financial Analysis, Human Resources, Leadership and Management, Marketing, Sales, Strategy, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics

      4.8

      (143 reviews)

      Beginner · Specialization

    • École Polytechnique Fédérale de Lausanne

      École Polytechnique Fédérale de Lausanne

      Big Data Analysis with Scala and Spark

      Skills you'll gain: Data Management, Apache Spark, Apache, Big Data

      4.7

      (2.5k reviews)

      Intermediate · Course

    • LearnQuest

      LearnQuest

      Fundamentals of Big Data

      Skills you'll gain: Data Management, Data Analysis, Database Design, Analysis, Data Architecture, Data Visualization, Databases, Big Data

      4.4

      (10 reviews)

      Mixed · Course

    • University of California San Diego

      University of California San Diego

      Teaching Impacts of Technology: Relationships

      Skills you'll gain: Lesson Plan, Marketing, Analysis, Planning, Entrepreneurship, Supply Chain and Logistics, Leadership and Management, Communication, Social Media

      Beginner · Course

    • Free

      Macquarie University

      Macquarie University

      Big History: Connecting Knowledge

      Skills you'll gain: Business Analysis, Human Learning, Research and Design, Leadership and Management, Entrepreneurship, History, Business Psychology, Thought, Decision Making, Strategy and Operations

      4.8

      (1.6k reviews)

      Mixed · Course

    • Microsoft

      Microsoft

      Modern Data Warehouse Analytics in Microsoft Azure

      Skills you'll gain: Data Warehousing, Microsoft Azure, Data Visualization, Analytics, Big Data, Data Management, Cloud Computing

      4.6

      (29 reviews)

      Beginner · Course

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      Macquarie University

      Macquarie University

      Data Visualization in Excel

      Skills you'll gain: Interactive Data Visualization, Business Analysis, Data Analysis Software, Data Visualization, Analysis, Chart, Microsoft Excel, Interactivity, Spreadsheet Software, Data Analysis

      4.9

      (454 reviews)

      Intermediate · Course

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      Macquarie University

      Macquarie University

      Excel Power Tools for Data Analysis

      Skills you'll gain: Data Analysis Software, Microsoft Excel, Business Analysis, Analysis, Modeling, Data Management, Data Analysis

      4.9

      (442 reviews)

      Intermediate · Course

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      Google Cloud

      Google Cloud

      Security Best Practices in Google Cloud

      Skills you'll gain: Communication, Data Management, Cryptography, Big Data, Cloud Storage, Kubernetes, Security, Cloud Computing, Security Engineering, Theoretical Computer Science, Computer Programming

      4.6

      (300 reviews)

      Intermediate · Course

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      Free

      Pohang University of Science and Technology

      Pohang University of Science and Technology

      Introduction and Programming with IoT Boards

      Skills you'll gain: Computer Networking, Computer Graphics, Internet Of Things, Network Architecture, Computer Architecture, Internet, Interactive Design, Human Computer Interaction, Arduino

      4.6

      (1.5k reviews)

      Beginner · Course

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      Macquarie University

      Macquarie University

      Excel Skills for Business: Advanced

      Skills you'll gain: Data Management, Data Analysis Software, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Analysis

      4.7

      (5.1k reviews)

      Intermediate · Course

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      Microsoft

      Microsoft

      Microsoft Azure Databricks for Data Engineering

      Skills you'll gain: Statistical Programming, Big Data, Data Management, Cloud Computing, Computer Networking, Network Security, Apache, Security Engineering, Data Architecture, Security Strategy, Computer Programming

      4.7

      (23 reviews)

      Intermediate · Course

    Searches related to big data

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    big data: el impacto de los datos masivos en la sociedad actual
    big data analysis with scala and spark (scala 2 version)
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    1234…42

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

    • Omnichannel Retail Strategy: University of Pennsylvania
    • Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
    • Fundamentals of Big Data: LearnQuest
    • Teaching Impacts of Technology: Relationships: University of California San Diego
    • Big History: Connecting Knowledge: Macquarie University
    • Modern Data Warehouse Analytics in Microsoft Azure: Microsoft
    • Data Visualization in Excel: Macquarie University
    • Excel Power Tools for Data Analysis: Macquarie University
    • Security Best Practices in Google Cloud: Google Cloud
    • Introduction and Programming with IoT Boards: Pohang University of Science and Technology

    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” 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.‎

    • The skills and experience that you might need to already have before starting to learn big data may include software programming knowledge as well as top skills in math, algebra, data science, and related areas. The types of programming languages that are common in big data environments include Python, SQL, Java, C, and overall data structure and algorithm insights. Working with structured and unstructured data may likely require knowledge and background in discrete mathematics, statistics, and linear algebra. Of course, learning about big data roles would also require you to bring good soft skills like listening, focus, communication, and flexibility to the table. Finally, what would also play a part before starting to learn big data might include a good education in data science or mathematics.‎

    • The kind of people best suited for work that involves big data are those who are keenly interested in data sciences, statistical modeling, data analysis, and the move to a big data future with the internet. People who love to work with data are best suited for roles in big data. This would likely include persons who may have quantitative experience in data technology, or a background and a skill set working with accounting, finance, ratios, and percentages. Big data enthusiasts may also be adventurous types, who take big risks and want to work at the forefront of technology and society.‎

    • Learning big data may be right for you if you have strong analytical insights, a data science background, a head for numbers, and a familiarity with internet tools, cloud platforms, and data analysis software. Working in big data is one of the most in-demand jobs now, and the opportunity to work in a relevant field is very alluring. If you're flexible in your work roles, are a creative thinker, and have the discipline and right background, then learning big data may be right for you to advance your career forward.‎

    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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