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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

    • Status: New
      New
      P

      Packt

      Developing Solutions for Microsoft Azure (AZ-204)

      Skills you'll gain: Microsoft Azure, Serverless Computing, Containerization, Cloud Development, Microsoft Development Tools, Cloud Applications, Database Management, Authentications, Event-Driven Programming, Microservices, Infrastructure as Code (IaC), Application Deployment, Solution Architecture, Application Programming Interface (API), Development Environment, Cloud Security, Key Management

      Intermediate · Course · 3 - 6 Months

    • G

      Google Cloud

      Uptraining with Document AI Workbench

      Skills you'll gain: Google Cloud Platform, Data Processing, Document Management, Unstructured Data, Data Capture

      Intermediate · Project · Less Than 2 Hours

    • P

      Packt

      Master C# and SQL by Building Applications

      Skills you'll gain: Microsoft SQL Servers, Stored Procedure, Database Management, SQL, Database Development, C# (Programming Language), Application Development, Integration Testing, Development Environment, Microsoft Visual Studio, User Interface (UI), Software Design, Data Access, JSON, Document Management

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Design corporate presentations with Piktochart

      Skills you'll gain: Presentations, Data Visualization, Corporate Communications, Data Storytelling, Data Sharing, Sales Presentations, Developing Training Materials, Company, Product, and Service Knowledge

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Automation Frameworks and Continuous Integration

      Skills you'll gain: GitHub, Jenkins, Git (Version Control System), Version Control, Selenium (Software), CI/CD, Continuous Integration, Test Automation, Test Data, Unit Testing, Test Case, Software Testing, Regression Testing, Scenario Testing, Test Execution Engine, Python Programming, Automation, Debugging

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Security Engineering and Cryptography

      Skills you'll gain: Public Key Infrastructure, Cloud Security, Hardening, Security Engineering, Infrastructure Security, Application Security, Information Systems Security, Network Security, Cyber Security Assessment, System Configuration, Cryptography, Encryption, Mobile Security

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      How to Create and Edit Pinterest Accounts

      Skills you'll gain: Pinterest, User Accounts, Information Privacy, Safety and Security, Single Sign-On (SSO)

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Production Machine Learning Systems - Français

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Performance Tuning, Scalability, Hybrid Cloud Computing, Mobile Development Tools

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      N

      Northeastern University

      Data Structures & Algos: Software Development Skills

      Skills you'll gain: Algorithms, Theoretical Computer Science, Data Structures, Computational Thinking, Analysis, Computer Science, Performance Tuning, Software Development, Scalability

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Hands-on with MS Teams

      Skills you'll gain: Microsoft Teams, Team Management, Microsoft 365, Group Policy, Data Loss Prevention, Azure Active Directory, Windows PowerShell, Data Governance, Collaborative Software, Role-Based Access Control (RBAC), Network Planning And Design, Network Support, Network Performance Management, User Provisioning, Identity and Access Management, Enterprise Application Management, Security Management, Records Management, User Accounts, Remote Access Systems

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - 日本語版

      Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Big Data, Cloud Solutions, Cloud API, Machine Learning, Predictive Modeling, Natural Language Processing, Supervised Learning

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Sales Reps: Streamlining Lead Qualification

      Skills you'll gain: Sales Strategy, Lead Generation, Prospecting and Qualification, Sales Pipelines, Sales Process, Sales, Sales Management, Data-Driven Decision-Making, Generative AI Agents, Customer Relationship Management (CRM) Software, HubSpot CRM, Business Process Automation

      Intermediate · Course · 1 - 4 Weeks

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

    • Developing Solutions for Microsoft Azure (AZ-204): Packt
    • Uptraining with Document AI Workbench: Google Cloud
    • Master C# and SQL by Building Applications: Packt
    • Design corporate presentations with Piktochart: Coursera Project Network
    • Advanced Automation Frameworks and Continuous Integration: Packt
    • Security Engineering and Cryptography: Packt
    • How to Create and Edit Pinterest Accounts: Coursera Project Network
    • Production Machine Learning Systems - Français: Google Cloud
    • Data Structures & Algos: Software Development Skills: Northeastern University
    • Hands-on with MS Teams: Packt

    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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