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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

    • G

      Google Cloud

      Managing SMB Workloads and Optimizing Storage Usage with NetApp Cloud Manager & Cloud Volumes ONTAP

      Skills you'll gain: Active Directory, Cloud Storage, Cloud Management, Google Cloud Platform, Data Storage, Data Storage Technologies, Data Maintenance

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      كيفية العمل على تفاصيل الموقع واللغة مع رؤى جمهور فيسبوك

      Skills you'll gain: Facebook, Customer Insights, Brand Awareness, Social Media, Social Media Marketing, Target Audience, Customer Data Management, Marketing Analytics

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Lean Six Sigma Green Belt Training

      Skills you'll gain: Lean Six Sigma, Process Mapping, Statistical Process Controls, Six Sigma Methodology, Lean Manufacturing, Kaizen Methodology, Statistical Analysis, Process Improvement, Process Capability, Quality Management, Project Management, Root Cause Analysis, Customer Analysis, Regression Analysis

      Beginner · Course · 1 - 3 Months

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

      Packt

      Advanced Backup Management and Recovery Scenarios

      Skills you'll gain: Disaster Recovery, Relational Databases, Data Storage Technologies, Database Management, Oracle Databases, Data Integrity, Data Migration, Key Management, Encryption

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Looker Studio Pro Essentials - 日本語版

      Skills you'll gain: Data Visualization Software, Looker (Software), Team Management, Data Management, Data Security, Data Sharing, Scheduling, Customer Support, Administration, Auditing

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Practical Cyber Hacking Skills for Beginners

      Skills you'll gain: Penetration Testing, Network Security, Cyber Security Assessment, Cybersecurity, Cyber Attacks, Incident Response, Firewall, Hardening, Information Systems Security, Application Security, Vulnerability Scanning, Malware Protection, Command-Line Interface, Linux Commands, Network Analysis

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      SwiftUI Animations iOS 16 - Animate Anything with SwiftUI

      Skills you'll gain: Animations, Apple iOS, Swift Programming, User Interface (UI), Interaction Design, Motion Graphics, User Interface (UI) Design, Visualization (Computer Graphics)

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Designing Software-Defined Branch Infrastructures

      Skills you'll gain: Threat Management, Threat Detection, Software-Defined Networking, Network Architecture, Network Planning And Design, Network Security, Cloud-Based Integration, Cloud Computing Architecture, Network Infrastructure, Internet Of Things, Multi-Cloud, Wide Area Networks, Technical Consulting, Scalability, Technology Solutions

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Serverless Data Processing with Dataflow: Pipelines - 日本語版

      Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Data Processing, Google Cloud Platform, Business Logic, Data Transformation, Performance Tuning, SQL, Scalability, Jupyter

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      CyberSec First Responder (CFR-310)

      Skills you'll gain: Incident Response, Cyber Threat Intelligence, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Threat Modeling, Vulnerability Scanning, Threat Detection, Intrusion Detection and Prevention, Application Security, Penetration Testing, Network Security, Malware Protection, Network Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      AI 世界的安全防護簡介

      Skills you'll gain: Data Security, Risk Mitigation, Data Strategy, Enterprise Security, Risk Analysis, Risk Management Framework, Cybersecurity, Regulatory Requirements, Compliance Management, Safety and Security, Artificial Intelligence, Generative AI

      Beginner · Course · 1 - 4 Weeks

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

      Packt

      Advanced Web Exploits, Python Scripting & Network Attacks

      Skills you'll gain: Penetration Testing, OSI Models, Open Web Application Security Project (OWASP), TCP/IP, Network Security, General Networking, Cybersecurity, Large Language Modeling, Prompt Engineering, Vulnerability Assessments, Web Applications, Scripting, Generative AI, Python Programming, SQL, MySQL

      Intermediate · Course · 1 - 3 Months

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    1…574575576…610

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

    • Managing SMB Workloads and Optimizing Storage Usage with NetApp Cloud Manager & Cloud Volumes ONTAP: Google Cloud
    • كيفية العمل على تفاصيل الموقع واللغة مع رؤى جمهور فيسبوك: Coursera Project Network
    • Lean Six Sigma Green Belt Training: Simplilearn
    • Advanced Backup Management and Recovery Scenarios: Packt
    • Looker Studio Pro Essentials - 日本語版: Google Cloud
    • Practical Cyber Hacking Skills for Beginners: Packt
    • SwiftUI Animations iOS 16 - Animate Anything with SwiftUI: Packt
    • Designing Software-Defined Branch Infrastructures: LearnQuest
    • Serverless Data Processing with Dataflow: Pipelines - 日本語版: Google Cloud
    • CyberSec First Responder (CFR-310): 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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