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    Results for "data management"

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Analysts

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Large Language Modeling, Data Ethics, Artificial Intelligence, Program Development, Data Visualization Software, SQL, Python Programming, Query Languages, 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
      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

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Sample Size Determination, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Scientists

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Large Language Modeling, Artificial Intelligence, Data Storytelling, Program Development, Data Modeling, Data Presentation, Predictive Analytics, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 1 - 3 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
      ·
      371 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Warehouse Engineer

      Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, IBM DB2, Relational Databases, Dashboard, File Management, Stored Procedure

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

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Geneva

      Investment Management

      Skills you'll gain: Portfolio Management, Wealth Management, Risk Management, Investment Management, Financial Market, Business Risk Management, Capital Markets, Risk Analysis, Asset Management, Performance Measurement, Investments, Market Dynamics, Environmental Social And Corporate Governance (ESG), Financial Planning, Equities, Finance, Performance Analysis, Financial Policy, FinTech, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.6K reviews

      Beginner · Specialization · 3 - 6 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
      J

      Johns Hopkins University

      The Data Scientist’s Toolbox

      Skills you'll gain: Rmarkdown, Version Control, Data Science, Big Data, Git (Version Control System), GitHub, Data Analysis, R Programming, Statistical Programming, Development Environment, Integrated Development Environments, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Data Analytics and Visualization

      Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Power BI, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization Software, Interactive Data Visualization, Microsoft Excel, Spreadsheet Software, Dashboard, Data Modeling, Data Cleansing, Data Manipulation, Excel Macros, Infographics, Data Transformation, Data Analysis Software, Data Validation, Data Analysis, Microsoft Power Platform

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Big Data

      Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis, Real Time Data, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing, Data Visualization Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Intermediate · Specialization · 3 - 6 Months

    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 with sql
    data management, reports, and dashboards
    data management and storage in the cloud
    data management capstone project
    data management with azure: implement compliance controls
    1…8910…834

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

    • Generative AI for Data Analysts: IBM
    • Data Mining: University of Illinois Urbana-Champaign
    • Process Data from Dirty to Clean: Google
    • Generative AI for Data Scientists: IBM
    • Introduction to Data Engineering: DeepLearning.AI
    • IBM Data Warehouse Engineer: IBM
    • Investment Management: University of Geneva
    • Preparing Data for Analysis with Microsoft Excel: Microsoft
    • The Data Scientist’s Toolbox: Johns Hopkins University
    • Excel Skills for Data Analytics and Visualization: Macquarie University

    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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