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Data Manipulation Courses

Data manipulation courses can help you learn data cleaning, transformation techniques, and exploratory data analysis. You can build skills in using functions for data aggregation, filtering datasets, and visualizing information effectively. Many courses introduce tools like Python, R, and SQL, that support handling large datasets and performing complex analyses. You'll also explore libraries such as Pandas and NumPy, which streamline data manipulation tasks and enhance your ability to derive insights from raw data.


More to explore:

Popular Data Manipulation Courses and Certifications


  • Status: Free Trial
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    Fractal Analytics

    Data Frameworks for Generative AI

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Enterprise Architecture, AI Enablement, Metadata Management, Data Science, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Generative AI: Enhance your Data Analytics Career

    Skills you'll gain: Generative AI, Data Storytelling, OpenAI, Analytics, Prompt Engineering Tools, Data Analysis, Dashboard, Data Ethics, Responsible AI, Data Visualization Software, Statistical Analysis, Python Programming, Data Cleansing, Data Manipulation, Query Languages

    4.6
    Rating, 4.6 out of 5 stars
    ·
    175 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    LearnQuest

    Data Processing with Azure

    Skills you'll gain: Microsoft Azure, Big Data, Data Processing, Analytics, Data Pipelines, Databricks, Apache Spark, Business Intelligence, Data Analysis, Data Integration, Data Warehousing, Extract, Transform, Load, Real Time Data, Data Transformation, Scheduling, Data Storage

    3.7
    Rating, 3.7 out of 5 stars
    ·
    68 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    BigQuery Soccer Data Analytical Insight

    Skills you'll gain: Big Data, Analytics, Query Languages, Data Analysis, Data Mining, Data Manipulation, SQL, Data Management

    Beginner · Project · Less Than 2 Hours

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    Coursera

    Apply SCD2 to Build Dynamic Data Models

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    SkillUp

    Statistical Analysis and Data Modeling in Healthcare

    Skills you'll gain: Statistical Hypothesis Testing, Clinical Data Management, Clinical Assessment, Data Analysis, Analytics, Machine Learning Methods, Healthcare Ethics, Health Informatics, Regression Analysis, Predictive Analytics, Supervised Learning, Statistical Analysis, Statistics, Probability & Statistics, Decision Tree Learning, Random Forest Algorithm

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Financial Data Analysis with Excel

    Skills you'll gain: Financial Statements, Dashboard, Variance Analysis, Financial Analysis, Pivot Tables And Charts, Excel Formulas, Financial Forecasting, Financial Modeling, Budget Management, Microsoft Excel, Performance Reporting, Data Validation, Spreadsheet Software, Financial Reporting, Auditing, Cost Management, Data Presentation, Data Storytelling, Business Intelligence, Performance Analysis

    Intermediate · Specialization · 3 - 6 Months

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    Maven Analytics

    ChatGPT & Generative AI for Data Analytics

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Power BI, Deep Learning, Excel Formulas, Analytics, Google Sheets, AI Enablement, Microsoft Excel, Artificial Intelligence, Data Analysis, Python Programming, SQL, Data Literacy, Query Languages, Business Intelligence, Data Science, Debugging

    4.8
    Rating, 4.8 out of 5 stars
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    21 reviews

    Beginner · Course · 1 - 3 Months

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    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    4.3K reviews

    Beginner · Course · 1 - 3 Months

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    John Wiley & Sons

    Data Science and Machine Learning for Business Professionals

    Skills you'll gain: Statistics, Probability & Statistics, Data Analysis, Data Literacy, Data Collection, Unsupervised Learning, Text Mining, Business Analytics, Statistical Inference, Probability, Exploratory Data Analysis, Predictive Modeling, Data-Driven Decision-Making, Data Science, Deep Learning, Machine Learning, Machine Learning Methods, Data Visualization, Business Communication, Communication

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Data Analyst Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Interviewing Skills, LinkedIn, Professional Development, Data Analysis, Recruitment, Relationship Building, Presentations, Talent Recruitment, Analytical Skills, Portfolio Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    769 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Meta

    Data Analytics Methods for Marketing

    Skills you'll gain: Marketing Analytics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Channel, Marketing Budgets, Customer Insights, Sales Process, Regression Analysis, Forecasting, Data Analysis, Return On Investment

    4.7
    Rating, 4.7 out of 5 stars
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    291 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Data Frameworks for Generative AI: Fractal Analytics
  • Generative AI: Enhance your Data Analytics Career : IBM
  • Data Processing with Azure: LearnQuest
  • BigQuery Soccer Data Analytical Insight: Google Cloud
  • Apply SCD2 to Build Dynamic Data Models: Coursera
  • Statistical Analysis and Data Modeling in Healthcare: SkillUp
  • Financial Data Analysis with Excel: Coursera
  • ChatGPT & Generative AI for Data Analytics: Maven Analytics
  • Introduction to Statistics: Stanford University
  • Data Science and Machine Learning for Business Professionals: John Wiley & Sons

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