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    Results for "data engineering"

    • Meta

      Coding Interview Preparation

      Skills you'll gain: Data Structures, Algorithms, Software Visualization, Pseudocode, Programming Principles, Computational Thinking, Computer Science, Technical Communication, Computational Logic, Program Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      681 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Cloud Platforms, Data Management, Data Governance, Workflow Management, Application Deployment, Deep Learning, Applied Machine Learning, Machine Learning, Large Language Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free

      Coursera Project Network

      Getting Started with Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Productivity Software, Microsoft 365

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Microsoft

      Microsoft 365 Fundamentals

      Skills you'll gain: Multimedia, Microsoft PowerPoint, Microsoft Excel, Excel Formulas, Microsoft Word, Microsoft 365, Data Visualization, Presentations, Spreadsheet Software, Productivity Software, Collaborative Software, Data Import/Export, Microsoft Windows, Proofreading, Editing, Document Management, Technical Documentation, Writing, Data Entry, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Google

      IT Security: Defense against the digital dark arts

      Skills you'll gain: Network Security, Information Systems Security, Cybersecurity, Encryption, Cyber Attacks, Security Awareness, Data Security, Threat Modeling, Security Management, Security Strategy, Computer Security Awareness Training, Information Assurance, Wireless Networks, Firewall, Malware Protection, Authentications, Authorization (Computing), Technical Support

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25K reviews

      Beginner · Course · 1 - 3 Months

    • Amazon Web Services

      AWS Cloud Solutions Architect

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Data Lakes, Amazon DynamoDB, Amazon Web Services, Serverless Computing, Cloud Computing, Amazon S3, Scalability, Amazon Elastic Compute Cloud, Event-Driven Programming, Cloud Security, Solution Architecture, Data Visualization, Cloud Computing Architecture, Cloud Storage, Data Architecture, API Gateway, Data Infrastructure, AWS CloudFormation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • University of Michigan

      Capstone: Retrieving, Processing, and Visualizing Data with Python

      Skills you'll gain: Data Processing, Data Collection, Data Visualization Software, Data Manipulation, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Unstructured Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 3 Months

    • DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Large Language Modeling, OpenAI, ChatGPT, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow, Applied Machine Learning, Scalability, Natural Language Processing, Application Deployment, Reinforcement Learning, Performance Tuning, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Coursera Project Network

      Overview of Data Visualization

      Skills you'll gain: Data Presentation, Data Literacy, Data Synthesis, Data Visualization Software, Google Sheets, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      398 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • IBM

      Cloud Application Development Foundations

      Skills you'll gain: Node.JS, Cloud Computing Architecture, Server Side, Cloud-Native Computing, React Redux, Cloud Services, NoSQL, MongoDB, React.js, Agile Methodology, Front-End Web Development, JavaScript Frameworks, Cloud Security, Hypertext Markup Language (HTML), HTML and CSS, Cloud Infrastructure, Restful API, Web Development, Web Development Tools, Back-End Web Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Rutgers the State University of New Jersey

      Supply Chain Management

      Skills you'll gain: Strategic Sourcing, Lean Six Sigma, Lean Manufacturing, Demand Planning, Procurement, Supplier Relationship Management, Forecasting, Process Improvement, Supplier Management, Operations Management, Customer Demand Planning, Purchasing, Production Process, Supply Management, Operational Efficiency, Warehouse Management, Supply Chain Planning, Inventory and Warehousing, Inventory Management System, Transportation, Supply Chain, and Logistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Google

      Connect and Protect: Networks and Network Security

      Skills you'll gain: Network Security, Hardening, Network Protocols, Cloud Security, Network Architecture, Intrusion Detection and Prevention, TCP/IP, Vulnerability Assessments, Computer Networking, Cyber Attacks, Network Infrastructure, Firewall, Cloud Computing, Virtual Private Networks (VPN)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.2K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to data engineering

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    1…313233…731

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

    • Coding Interview Preparation: Meta
    • Machine Learning on Google Cloud: Google Cloud
    • Getting Started with Microsoft Excel: Coursera Project Network
    • Microsoft 365 Fundamentals: Microsoft
    • IT Security: Defense against the digital dark arts : Google
    • AWS Cloud Solutions Architect: Amazon Web Services
    • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
    • Generative AI with Large Language Models: DeepLearning.AI
    • Overview of Data Visualization: Coursera Project Network
    • Cloud Application Development Foundations: IBM

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Data Engineering

    Coursera’s Data Engineering courses offer learners a deep dive into the technical skills required to design, build, and manage data infrastructure:

    • Techniques for designing data models and databases.
    • Skills in data warehousing and data lake construction and management.
    • Proficiency in big data technologies such as Hadoop, Spark, and Apache Kafka.
    • Best practices for data integration, ETL (extract, transform, load) processes, and pipeline construction.
    • Understanding of data quality management and data governance.
    • Application of automation and monitoring tools to maintain data systems.‎

    Data Engineering courses on Coursera cater to learners of all backgrounds:

    • Beginners can start with introductory courses that teach the basics of data infrastructure and SQL.
    • Those with some technical experience can focus on advanced topics like big data processing or cloud data services.
    • Advanced learners can explore specialized areas such as machine learning data pipelines or real-time data processing.‎

    Learners who complete Data Engineering courses on Coursera can earn credentials that may enhance their professional profiles:

    • Professional certificates that demonstrate a foundational understanding and practical skills in data engineering.
    • Specializations that focus on detailed aspects of data engineering, such as performance tuning, scalability, or security.
    • Certificates that can potentially be recognized by technology companies and other employers as evidence of expertise in data engineering.‎

    Skills in data engineering can lead to a variety of roles within the technology and analytics sectors:

    • Data Engineer, responsible for designing and managing scalable data systems.
    • Database Administrator, maintaining and optimizing database performance.
    • Cloud Solutions Architect, focusing on cloud storage and data services.
    • Data Architect, shaping strategic data practices and architectures.
    • Machine Learning Engineer, preparing data infrastructure for predictive models.‎

    Yes, Coursera offers a variety of free courses across many topics, including data engineering. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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