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    • Big Data Analytics

    Big Data Analytics Courses Online

    Master big data analytics for processing and analyzing large datasets. Learn to use tools like Hadoop, Spark, and NoSQL databases.

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    Explore the Big Data Analytics Course Catalog

    • I

      IBM

      Introduction to Data Analytics

      Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Mart, Data Warehousing, Data Storytelling, Apache Spark, Data Cleansing, Data Lakes, Data Visualization Software, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • 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, Distributed Computing, Performance Tuning, Application Performance Management, SQL, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      419 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California San Diego

      Big Data

      Skills you'll gain: Apache Spark, PySpark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Data Modeling, Regression Analysis, Data Management, Applied Machine Learning, Data Infrastructure, Data Presentation, Scalability, Data Mining, Data Processing, Statistical Analysis, NoSQL, Database Management Systems

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

      Beginner · Specialization · 3 - 6 Months

    • Status: [object Object]
      New AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics), Analytics, R Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      164K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Sampling (Statistics), Data Ethics, Data Visualization Software, Data Presentation, Statistical Hypothesis Testing, Regression Analysis, Feature Engineering, Data Transformation, Data Visualization, Probability & Statistics, Tableau Software, Data Manipulation, Advanced Analytics, Data Cleansing, Object Oriented Programming (OOP), Applied Machine Learning, Statistical Analysis, Jupyter

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • I

      IBM

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, Database Systems, PySpark, Apache Hive, Databases, Machine Learning Algorithms, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Data Store, Operational Databases, Kubernetes, Supervised Learning, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      723 reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of Pennsylvania

      Business Analytics

      Skills you'll gain: People Analytics, Data-Driven Decision-Making, Business Analytics, Descriptive Analytics, Business Intelligence, Human Resource Strategy, Financial Data, Marketing Analytics, Analytics, Talent Management, Financial Analysis, Predictive Analytics, Human Resources Management and Planning, Peer Review, Business Analysis, Operations Research, Financial Statement Analysis, Financial Forecasting, Customer Insights, Workforce Planning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      Status: Free
      Free
      N

      National Taiwan University

      大數據分析：商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions)

      Skills you'll gain: Marketing Analytics, Social Media, Business Analytics, Market Analysis, Customer Insights, Social Media Marketing, Marketing, Financial Data, Banking, Business Intelligence, Big Data, Analytics, Data-Driven Decision-Making, Financial Services, Data Analysis, Strategic Decision-Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      393 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      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, Data Storage

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

      Mixed · Course · 1 - 3 Months

    • Placeholder
      U

      University of Colorado Boulder

      Advanced Business Analytics

      Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Data Visualization, Predictive Analytics, Exploratory Data Analysis, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Risk Analysis, Databases, Data Visualization Software, Presentations, Data Analysis, Statistical Modeling, Decision Making, Business Intelligence, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      Status: Free
      Free
      C

      Campus BBVA

      Business Analytics

      Skills you'll gain: Data Storytelling, Dashboard, Business Analytics, Data Visualization, Data Quality, Business Intelligence, Data Visualization Software, Data Analysis, Analytics, Descriptive Statistics, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Big Data, Project Management Life Cycle

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      C

      Coursera Instructor Network

      Big Data Technologies and Applications

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Introduction to Data Analytics: IBM
    • Introduction to Big Data with Spark and Hadoop: IBM
    • Big Data: University of California San Diego
    • Google Data Analytics: Google
    • Google Advanced Data Analytics: Google
    • NoSQL, Big Data, and Spark Foundations: IBM
    • Business Analytics: University of Pennsylvania
    • 大數據分析：商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions): National Taiwan University
    • Introduction to Big Data: University of California San Diego
    • Advanced Business Analytics: University of Colorado Boulder

    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 Analytics

    Big data analytics refers to the application of advanced data analysis techniques to datasets that are very large, diverse (including structured and unstructured data), and often arriving in real time. The ability to process data at this scale is increasingly essential to navigating today’s business world, and it is at the core of important applications such as machine learning, business intelligence, financial engineering, and other software tools to enable data-informed decision-making.

    Computer programs have been used to assist with data analysis for decades, but tools like Microsoft Excel and traditional relational database management systems (RDBMS) queried with SQL are not capable of handling today’s high-volume, high-velocity datasets. Instead, today’s data management professionals rely on high-powered data infrastructure designed to work with distributed file systems and cloud computing resources - particularly the open-source Apache Hadoop ecosystem, including high-speed data processing with Apache Spark and distributed SQL engines like Apache Hive.‎

    Organizations of all types and sizes are seeking ways to leverage the possibilities of big data to improve operations through reduced costs and faster decision-making, create new products and services, or advance our knowledge about the world. Big data analytics skills can thus open up a wide range of career opportunities, from working as a “quant” on Wall Street to developing navigation systems for autonomous vehicles to helping to discover more effective medicines and drugs in health science.

    Two of the most broadly-applicable roles in this field are data engineers, who build the data infrastructure needed to deliver big data-scale datasets efficiently and reliably, and the data scientists responsible for analyzing them. These roles are in high demand, and are highly-paid as well; according to Glassdoor, data engineers earn an average annual salary of $102,864, and data scientists earn an average annual salary of $113,309.‎

    Absolutely! Data science is one of the most popular topics to learn about on Coursera, and there are a variety of options to build your skills in big data analytics. You can take online courses and Specializations from top-ranked schools like the University of Pennsylvania and the University of California San Diego, as well as leading companies like IBM, PwC, Cloudera, and Google Cloud. And regardless of where you choose to learn from, Coursera gives you the ability to access course materials and complete assignments on a flexible schedule, making this a great fit for students and mid-career professionals alike.‎

    Before you start learning big data analytics, it’s helpful to have an understanding of database management and the fundamentals of how programming languages work. Specifically, experience with SQL, Python, Java, or R can be useful when studying big data analytics. You also may find it beneficial to know how to work with Hadoop and Linux and use basic math and statistics. Additionally, strong analytical skills and a curiosity about playing with data come in handy when you learn big data analytics.‎

    The right people for roles in big data analytics are inquisitive problem solvers who like working with numbers and using statistics to sort through large amounts of data. They typically have work experience or coursework in high-level math or computer programming. A background in behavioral analysis can also be useful for roles in big data analytics because individuals often seek to understand or predict what influences the behavior represented by data. Big data analysts may often need soft skills, such as communication and collaboration skills they use when explaining what they see in the data and working with team members on projects.‎

    If you like working with numbers and are comfortable using statistical techniques, learning big data analytics may be right for you. The amount of data collected on a daily basis is already massive and continues to grow, so organizations need analysts who can curate and prepare data for businesses, governments, and other groups to use. Learning big data analytics may interest you if you possess strong analytical and problem-solving skills and want to apply those skills to sorting and analyzing data to find what’s useful for a client. You may be able to use the knowledge you gain to land an internship or seek a career in data science filling roles in a variety of industries.‎

    Online Big Data Analytics courses offer a convenient and flexible way to enhance your existing knowledge or learn new Big Data Analytics skills. With a wide range of Big Data Analytics classes, you can conveniently learn at your own pace to advance your Big Data Analytics career skills.‎

    When looking to enhance your workforce's skills in Big Data Analytics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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