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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

  • C

    Coursera

    Qlik Sense for Beginners: Analyze and Visualize Data

    Skills you'll gain: Data Storytelling, Customer Analysis, Data Integration, Interactive Data Visualization, Dashboard, Data Visualization, Data Analysis, Customer Insights, Data-Driven Decision-Making, Data Analysis Software, Exploratory Data Analysis, Presentations, Analytics, Technical Communication, Data Visualization Software, Data Import/Export

    4.1
    Rating, 4.1 out of 5 stars
    ·
    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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
    Preview
    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
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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: Free Trial
    Free Trial
    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
    ·
    108 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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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
    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

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Javascript for Beginners: Primitive Data Types

    Skills you'll gain: Javascript, Programming Principles, Computer Programming, Web Development, Application Development

    Beginner · Guided Project · Less Than 2 Hours

  • 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

1…606162…834

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

  • Data Science Project: MATLAB for the Real World: MathWorks
  • Qlik Sense for Beginners: Analyze and Visualize Data: Coursera
  • AI Foundations for Business Professionals: Saïd Business School, University of Oxford
  • Machine Learning for All: University of London
  • Google BigQuery for Data and ML Engineers: Pearson
  • Scripting with Python and SQL for Data Engineering: Duke University
  • Data Management for Analytics Part 1: Northeastern University
  • Spark and Python for Big Data with PySpark: EDUCBA
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Javascript for Beginners: Primitive Data Types: Coursera

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