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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.


Popular Data Manipulation Courses and Certifications


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    Coursera

    Explore and Visualize Data the Python Way

    Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Edureka

    Learn Data Storytelling: Power BI Techniques

    Skills you'll gain: Power BI, Data Modeling, Data Storytelling, Data Analysis Expressions (DAX), Data Visualization Software, Data Transformation, Business Intelligence, Dashboard, Microsoft Excel, Interactive Data Visualization, Data Manipulation, Data Cleansing, Key Performance Indicators (KPIs), Report Writing, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 3 Months

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    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

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    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark

    Skills you'll gain: Apache Spark, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Persistence, SQL, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    2.6K reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Octave for Machine Learning: Data Analysis Mastery

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Programming Principles, Data Visualization, Descriptive Statistics, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis

    Beginner · Specialization · 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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    Packt

    How to Visualize Data with R

    Skills you'll gain: Data Visualization Software, Data Visualization, Statistical Visualization, Ggplot2, Plot (Graphics), R Programming, Scatter Plots, Data Collection, Data Analysis, Data Manipulation, Data Import/Export, Regression Analysis, Data Preprocessing, Software Installation

    Intermediate · Course · 1 - 4 Weeks

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    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures

    3.7
    Rating, 3.7 out of 5 stars
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    52 reviews

    Beginner · Course · 1 - 4 Weeks

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    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

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    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Apache Spark: Apply & Evaluate Big Data Workflows

    Skills you'll gain: Apache Spark, PySpark, Data Persistence, Big Data, Data Processing, Distributed Computing, Scala Programming, JSON, Data Transformation, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Analyze Box Office Data with Seaborn and Python

    Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications

    4.5
    Rating, 4.5 out of 5 stars
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    182 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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1…909192…763

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

  • Explore and Visualize Data the Python Way: Coursera
  • Learn Data Storytelling: Power BI Techniques: Edureka
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
  • Octave for Machine Learning: Data Analysis Mastery: EDUCBA
  • Introduction to Statistics: Stanford University
  • How to Visualize Data with R: Packt
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • Google BigQuery for Data and ML Engineers: Pearson
  • Data Science Fundamentals Part 2: Unit 1: Pearson

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