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  • Structuring Questions For Data Analysis

Results for "structuring questions for data analysis"


  • Status: Free Trial
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    M

    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Simplilearn

    Data Validation in Excel for Beginners

    Skills you'll gain: Microsoft Excel, Data Validation, Excel Formulas, Spreadsheet Software, Data Quality, Pivot Tables And Charts, Data Cleansing, Project Management, Data Visualization, Timelines, Data Presentation, Graphing

    3.8
    Rating, 3.8 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Duke University

    Scripting with Python and SQL for Data Engineering

    Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Persistence, Data Manipulation, Data Structures, Database Management, Databases, Data Import/Export, Data Capture, Spatial Analysis, Python Programming, Hypertext Markup Language (HTML)

    4.4
    Rating, 4.4 out of 5 stars
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    108 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    S

    Saïd Business School, University of Oxford

    AI Foundations for Business Professionals

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Responsible AI, OpenAI, Artificial Neural Networks, AI Security, Data Ethics, Governance, Artificial Intelligence, ChatGPT, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Compliance Management, AI Product Strategy, Business Ethics, Risk Management, Machine Learning, Project Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    234 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    University of London

    Machine Learning for All

    Skills you'll gain: Data Preprocessing, Machine Learning, Artificial Intelligence, Model Evaluation, Data Analysis, Image Analysis, Data Collection, Classification Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    N

    Northeastern University

    Data Management for Analytics Part 1

    Skills you'll gain: Database Design, Database Theory, Data Modeling, Database Management Systems, Metadata Management, Databases, Data Management, Relational Databases, Unified Modeling Language, Data Governance, Enterprise Modeling, Data Integrity, Data Quality

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    P

    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Big Data, Serverless Computing, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Spark and Python for Big Data with PySpark

    Skills you'll gain: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking

    4
    Rating, 4 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Erasmus University Rotterdam

    Qualitative Comparative Analysis (QCA)

    Skills you'll gain: Qualitative Research, Research Design, Report Writing, Research, Research Methodologies, Social Sciences, Data Analysis Software, Case Studies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    160 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAP

    Foundations of Business Analysis

    Skills you'll gain: Stakeholder Management, Business Analysis, SAP Signavio, Business Systems Analysis, SAP Analytics Cloud, SAP Applications, Systems Analysis, Stakeholder Analysis, Business Process Modeling, Business Requirements, ChatGPT, Requirements Analysis, Strategic Thinking, Organizational Strategy, LLM Application, Agile Methodology, Communication, Critical Thinking

    4.4
    Rating, 4.4 out of 5 stars
    ·
    105 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C for Everyone, Part 1: Programming Fundamentals

    Skills you'll gain: Programming Principles, Software Documentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular structuring questions for data analysis courses

  • Data Science Project: MATLAB for the Real World: MathWorks
  • Data Validation in Excel for Beginners: Simplilearn
  • Scripting with Python and SQL for Data Engineering: Duke University
  • AI Foundations for Business Professionals: Saïd Business School, University of Oxford
  • Machine Learning for All: University of London
  • Data Management for Analytics Part 1: Northeastern University
  • Google BigQuery for Data and ML Engineers: Pearson
  • Spark and Python for Big Data with PySpark: EDUCBA
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Qualitative Comparative Analysis (QCA): Erasmus University Rotterdam

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