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    • Big Data

    Big Data Courses Online

    Master big data technologies for handling large datasets. Learn about data storage, processing, and analysis using tools like Hadoop and Spark.

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    Explore the Big Data Course Catalog

    • I

      IBM

      데이터 과학이란 무엇인가?

      Skills you'll gain: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Digital Transformation, Big Data, Data Analysis, Business Analytics, Regression Analysis, Analytics, Apache Hadoop, Health Informatics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EIT Digital

      Privacy in the USA

      Skills you'll gain: Court Systems, Telecommunications, Law, Regulation, and Compliance, Information Privacy, Personally Identifiable Information, Legal Research, Data Ethics, Case Law, Federal Information Security Management Act, Policy Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Measuring and Modeling Impact in Evaluations

      Skills you'll gain: Program Evaluation, Maternal Health, Nutrition and Diet, Child Health, Health Assessment, Data Collection, Epidemiology, Public Health and Disease Prevention, Mathematical Modeling, Data Modeling, Data Analysis Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Data Visualization in Microsoft PowerPoint

      Skills you'll gain: Microsoft PowerPoint, Presentations, Data Visualization, Data Storytelling, Drive Engagement, Productivity Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      32 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Cisco Learning and Certifications

      Introducing Model-Driven Programmability

      Skills you'll gain: Software-Defined Networking, YAML, Network Protocols, Network Routing, Computer Networking, Data Modeling, Extensible Markup Language (XML), JSON, Automation, Application Programming Interface (API), Computer Programming Tools

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Analysis and Visualization of Data with Power BI

      Skills you'll gain: Dashboard, Power BI, Data Presentation, Data Visualization Software, Data Storytelling, Data Visualization, Interactive Data Visualization, Advanced Analytics, Data Analysis, Business Intelligence, Statistical Reporting

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Sales Analytics

      Skills you'll gain: Sales Strategy, Customer Analysis, Sales, Sales Management, Generative AI, Customer Insights, Forecasting, Personalized Service, Data-Driven Decision-Making, Analytics, Artificial Intelligence, Predictive Modeling, Business Metrics

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Goldman Sachs

      Fundamentos de Vendas e Marketing com o 10,000 Women da Goldman Sachs

      Skills you'll gain: Target Market, Marketing, Marketing Effectiveness, Marketing Planning, Sales Process, Marketing Strategy and Techniques, Sales, Marketing Analytics, Brand Awareness, Business Metrics, Brand Management, Digital Marketing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      65 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Fundamentals of Cloud Computing

      Skills you'll gain: Cloud Computing, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, Cloud Solutions, Scalability, Cloud Platforms, Public Cloud, Software As A Service, Infrastructure As A Service (IaaS), Cloud Storage, Platform As A Service (PaaS), Private Cloud, Hybrid Cloud Computing, Virtualization

      3.8
      Rating, 3.8 out of 5 stars
      ·
      36 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      K

      Knowledge Accelerators

      Microsoft Copilot in Excel: Smarter Data Analysis Made Easy

      Skills you'll gain: Microsoft Copilot, Dashboard, Microsoft Excel, Excel Macros, Microsoft 365, Data-Driven Decision-Making, Data Analysis, Productivity Software, Data Transformation, Automation, Prompt Engineering

      5
      Rating, 5 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Analyzing Time Series and Sequential Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Feature Engineering, Statistical Analysis, Data Analysis, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Bayesian Statistics, Automation, Anomaly Detection, Data Processing, Data Manipulation

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Virginia

      Mercadeo analítico

      Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Data-Driven Decision-Making, Marketing Strategies, Brand Management, Marketing, Regression Analysis, Analytics, Customer Retention, Consumer Behaviour, Return On Investment, Statistical Analysis, A/B Testing

      Beginner · Course · 1 - 3 Months

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    1…313314315…605

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

    • 데이터 과학이란 무엇인가?: IBM
    • Privacy in the USA: EIT Digital
    • Measuring and Modeling Impact in Evaluations: Johns Hopkins University
    • Data Visualization in Microsoft PowerPoint: Coursera Project Network
    • Introducing Model-Driven Programmability: Cisco Learning and Certifications
    • Analysis and Visualization of Data with Power BI: Microsoft
    • GenAI for Sales Analytics: Coursera Instructor Network
    • Fundamentos de Vendas e Marketing com o 10,000 Women da Goldman Sachs: Goldman Sachs
    • Fundamentals of Cloud Computing: LearnQuest
    • Microsoft Copilot in Excel: Smarter Data Analysis Made Easy: Knowledge Accelerators

    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.‎

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

    When looking to enhance your workforce's skills in Big Data, 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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