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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


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Structures for Designers Using Python

    Skills you'll gain: Object Oriented Programming (OOP), Software Design, Program Development, Data Structures, Visualization (Computer Graphics), Graphic and Visual Design, Computer Graphics, Creative Design, Python Programming, Algorithms, Linear Algebra, Simulations, Spatial Analysis

    Intermediate · 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: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Product Marketers: Data-Driven Campaigns

    Skills you'll gain: AI Personalization, Marketing Analytics, A/B Testing, Marketing Strategies, Marketing Effectiveness, Product Marketing, Campaign Management, Marketing, Advertising Campaigns, Performance Measurement, Generative AI, Target Audience, Google Ads, Predictive Analytics, AI Enablement, ChatGPT, Analytics, Automation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Regression & Forecasting for Data Scientists using Python

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Machine Learning, Big Data, and Deep Learning

    Skills you'll gain: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    SAS

    Four Rare Machine Learning Skills All Data Scientists Need

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Data Analysis with the FraudFinder Workshop

    Skills you'll gain: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Jupyter, Data Analysis, Data Preprocessing, Machine Learning

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    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

  • Status: Preview
    Preview
    2

    28DIGITAL

    Security and Privacy for Big Data - Part 1

    Skills you'll gain: Data Security, Cryptography, Information Systems Security, Security Management, Security Requirements Analysis, Data Access, Vulnerability Assessments, Data Management, Information Management, Big Data

    4.7
    Rating, 4.7 out of 5 stars
    ·
    586 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    106 reviews

    Advanced · Course · 1 - 4 Weeks

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

  • Data Structures for Designers Using Python: University of Michigan
  • Google BigQuery for Data and ML Engineers: Pearson
  • GenAI for Product Marketers: Data-Driven Campaigns: Coursera
  • Regression & Forecasting for Data Scientists using Python: EDUCBA
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • Advanced Machine Learning, Big Data, and Deep Learning: Packt
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Four Rare Machine Learning Skills All Data Scientists Need: SAS
  • Data Analysis with the FraudFinder Workshop: Google Cloud
  • Data Science Fundamentals Part 2: Unit 1: Pearson

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