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  • Data Manipulation

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.


Popular Data Manipulation Courses and Certifications


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    EDUCBA

    QlikView & QlikSense: Build & Analyze Data Models

    Skills you'll gain: Data Modeling, Enterprise Resource Planning, Dashboard, Business Intelligence, Data Visualization Software, Workflow Management, Pivot Tables And Charts, Data Import/Export, Extract, Transform, Load, Data Integration, Microsoft Excel, Data Transformation, Data Security, Scripting

    Mixed · Course · 1 - 3 Months

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    Northeastern University

    Data Warehousing and Integration Part 1

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, Data Integration, Data Modeling, Star Schema, Data Governance, Database Design, Snowflake Schema, SQL, Relational Databases, Data Mining, Data Quality, Data Analysis

    Mixed · Course · 1 - 3 Months

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    Microsoft

    Harnessing the Power of Data with Power BI

    Skills you'll gain: Power BI, Data-Driven Decision-Making, Data Analysis, Microsoft Power Platform, Data Collection, Business Analytics, Data Transformation, Data Visualization Software, Microsoft 365

    4.6
    Rating, 4.6 out of 5 stars
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    1.9K reviews

    Beginner · Course · 1 - 4 Weeks

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    Meta

    Working with Data in Android

    Skills you'll gain: Restful API, Android Development, Kotlin, API Design, Android Studio, Mobile Development, Database Management, Data Persistence, Databases, JSON, Web Applications, SQL

    4.7
    Rating, 4.7 out of 5 stars
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    58 reviews

    Intermediate · Course · 1 - 3 Months

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    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
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    714 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Foundations for Data Analytics Part 1

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Structures, Time Series Analysis and Forecasting, Pandas (Python Package), Unsupervised Learning, Data Analysis, Machine Learning Algorithms, Computational Thinking, Data Preprocessing, Data Cleansing, Data Visualization, Python Programming, Algorithms

    Beginner · Course · 1 - 3 Months

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    Northeastern University

    Data Warehousing and Integration Part 2

    Skills you'll gain: Data Governance, Extract, Transform, Load, Data Warehousing, Data Integration, DevOps, Data Pipelines, CI/CD, Data Architecture, Infrastructure as Code (IaC), Data Quality, Amazon Redshift, Cloud Computing, Database Architecture and Administration, Cloud Computing Architecture, Analytics, Data Transformation, Amazon S3, Scalability

    Mixed · Course · 1 - 3 Months

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    EDUCBA

    Data Analysis with Minitab: Analyze & Apply

    Skills you'll gain: Minitab, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Descriptive Statistics, Statistical Analysis, Predictive Modeling, Statistical Modeling, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Methods, Statistical Inference

    Mixed · Course · 1 - 4 Weeks

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    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    186 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Banco Interamericano de Desarrollo

    Estrategias efectivas en organizaciones data-driven

    Skills you'll gain: Data Storytelling, Data Visualization, Data Governance, Process Improvement, Data Strategy, Process Mapping, Data-Driven Decision-Making, Performance Improvement, Data Visualization Software, Organizational Effectiveness, Organizational Leadership, Business Leadership, Strategic Decision-Making, Leadership, Change Management

    Beginner · Course · 1 - 4 Weeks

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    Macquarie University

    Statistics and Data Analysis with Excel: Essentials

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistics, Descriptive Statistics, Probability & Statistics, Microsoft Excel, Data Analysis, Statistical Inference, Spreadsheet Software, Data-Driven Decision-Making, Box Plots, Probability Distribution, Histogram, Data Visualization Software, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    41 reviews

    Beginner · Course · 1 - 3 Months

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    University of Michigan

    AI-Powered Data Analysis: A Practical Introduction

    Skills you'll gain: Data Wrangling, Analytical Skills, Data Analysis, Data Preprocessing, Data Cleansing, Generative AI, ChatGPT, Data Visualization Software, Jupyter, Statistical Analysis, Artificial Intelligence, Data Collection, Data Management, GitHub, Technical Support, Git (Version Control System), Integrated Development Environments

    4.4
    Rating, 4.4 out of 5 stars
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    18 reviews

    Beginner · Course · 1 - 4 Weeks

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1…737475…762

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

  • QlikView & QlikSense: Build & Analyze Data Models: EDUCBA
  • Data Warehousing and Integration Part 1: Northeastern University
  • Harnessing the Power of Data with Power BI: Microsoft
  • Working with Data in Android: Meta
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Foundations for Data Analytics Part 1: Northeastern University
  • Data Warehousing and Integration Part 2: Northeastern University
  • Data Analysis with Minitab: Analyze & Apply: EDUCBA
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Estrategias efectivas en organizaciones data-driven: Banco Interamericano de Desarrollo

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