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    Results for "data management"

    • Status: Free Trial
      Free Trial
      Status: New AI skills
      New AI skills
      G

      Google

      Google IT Support

      Skills you'll gain: Computer Networking, Package and Software Management, Network Troubleshooting, Systems Administration, Cloud Infrastructure, Network Administration, IT Infrastructure, Information Systems Security, TCP/IP, Network Security, File Systems, Microsoft Windows, Computer Security, Professional Networking, Application Security, Desktop Support, Computer Hardware, Technical Support, Interviewing Skills, Professional Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      203K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to Data Engineering

      Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Data Transformation, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      372 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Big Data

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

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

      Beginner · Specialization · 3 - 6 Months

    • U

      Università Bocconi

      Management of Fashion and Luxury Companies

      Skills you'll gain: Retail Store Operations, Brand Management, Digital Media Strategy, Global Marketing, Financial Reporting, Communication Strategies, Market Opportunities, Marketing Management, Business Modeling, Business Strategy, Customer experience strategy (CX), E-Commerce, Consumer Behaviour, Storytelling, Market Trend, Product Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Data Mining

      Skills you'll gain: Data Visualization Software, Text Mining, Data Presentation, Data Mining, Interactive Data Visualization, Data Storytelling, Dashboard, Tableau Software, Plot (Graphics), Natural Language Processing, Scatter Plots, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Big Data, Anomaly Detection, Analytics, Data Validation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of Data Science

      Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Workflow Management, Data-Driven Decision-Making, Analytical Skills, Data Science, Project Design, Communication, Business, Business Workflow Analysis, Stakeholder Communications, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Preparing Data for Analysis with Microsoft Excel

      Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Power BI, Data Analysis, Productivity Software, Data Cleansing, Data Manipulation, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Data Analytics Capstone: Complete a Case Study

      Skills you'll gain: Interviewing Skills, Data Analysis, Data Processing, Analytical Skills, Artificial Intelligence, Recruitment, Data-Driven Decision-Making, Data Storytelling, Project Documentation, Presentations, Portfolio Management

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Project Managers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, OpenAI, Project Management, Workflow Management, Project Management Life Cycle, Large Language Modeling, Team Building, Project Planning, Microsoft Copilot, Artificial Intelligence, Program Development, Project Documentation, Risk Management, Business Ethics, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Data-Driven Decision-Making, Google Sheets, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, SQL, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      115K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to data management

    data management for clinical research
    data management and visualization
    data management with databricks: big data with delta lakes
    data management, reports, and dashboards
    data management with sql
    data management and storage in the cloud
    data management capstone project
    data management with azure: implement compliance controls
    1…678…834

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

    • Google IT Support: Google
    • Data Science: Johns Hopkins University
    • Introduction to Data Engineering: DeepLearning.AI
    • Deep Learning: DeepLearning.AI
    • Big Data: University of California San Diego
    • Management of Fashion and Luxury Companies: Università Bocconi
    • Data Mining: University of Illinois Urbana-Champaign
    • Foundations of Data Science: Google
    • Preparing Data for Analysis with Microsoft Excel: Microsoft
    • Google Data Analytics Capstone: Complete a Case Study: Google

    Frequently Asked Questions about Data Management

    Data management courses on Coursera provide you with the skills and insights necessary to handle large datasets effectively:

    • Fundamentals of data architecture, including how to design and implement robust data systems.
    • Techniques for data collection, storage, and retrieval to ensure efficient data access.
    • Best practices for data security and privacy, including how to comply with legal standards.
    • Understanding of data quality management to maintain the accuracy and reliability of data sets.
    • Skills in data integration and manipulation to support business analysis and decision-making.
    • Introduction to tools and software commonly used in data management, such as SQL databases, NoSQL databases, and data warehousing solutions.
    • Strategies for managing big data environments, including data lakes and distributed systems.‎

    Data management courses on Coursera are designed to meet learners at different knowledge levels:

    • Beginners can start with introductory courses that cover the basic concepts of data management.
    • Intermediate learners can progress to courses that explore more complex data systems and management techniques.
    • Advanced courses are available for IT professionals and data managers looking to deepen their expertise in data architecture and big data technologies.‎

    Coursera collaborates with leading universities and technology companies to offer a variety of data management credentials:

    • Professional certificates that can help establish your skills in data management.
    • Specialized course certificates that focus on particular areas such as database administration, data governance, or data engineering.
    • Degrees and professional qualifications that help prepare you for senior roles in IT and data management.‎

    Learning data management through Coursera can help equip you for diverse roles across industries:

    • Data Manager: Ensure the accuracy, privacy, and security of data within an organization.
    • Database Administrator: Maintain and administer database management systems.
    • Data Architect: Design data solutions that align with organizational needs.
    • Business Intelligence Analyst: Analyze data to produce actionable business insights.
    • Data Governance Specialist: Develop and implement data standards and policies.‎
    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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