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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


  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Artificial Intelligence with Python: Foundations to Projects

    Skills you'll gain: Unsupervised Learning, Seaborn, Matplotlib, Predictive Modeling, Data Preprocessing, Supervised Learning, NumPy, Model Evaluation, Applied Machine Learning, Predictive Analytics, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Scatter Plots, Statistical Visualization, Python Programming, Data Science, Machine Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    The DMAIC Framework - Define and Measure Phase

    Skills you'll gain: Process Capability, Statistical Analysis, Data Analysis, Project Management, Six Sigma Methodology, Statistics, Work Breakdown Structure, Lean Six Sigma, Process Analysis, Data Collection, Project Scoping, Performance Measurement, Customer experience improvement, Quality Improvement, Quality Control

    4.8
    Rating, 4.8 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    Procesamiento de Lenguaje Natural

    Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Preprocessing, Data Cleansing, Artificial Neural Networks, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Text Mining, Jupyter, Pandas (Python Package), Application Lifecycle Management, Systems Architecture, Analysis, Deep Learning, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    56 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Using Custom Fields in Looker Explores

    Skills you'll gain: Looker (Software), Ad Hoc Analysis, Dashboard, Data Analysis, Exploratory Data Analysis, Data Literacy, Database Application

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
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    D

    DeepLearning.AI

    AI and Climate Change

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Image Analysis, Environmental Monitoring, Convolutional Neural Networks, Artificial Intelligence, Climate Change Mitigation, Artificial Neural Networks, Machine Learning Methods, Deep Learning, Data Processing, Forecasting, Computer Vision, Predictive Modeling, Environmental Science, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
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    139 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Supervised Learning, Data Preprocessing, Data Strategy, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
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    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    I

    IBM

    데이터 과학이란 무엇인가?

    Skills you'll gain: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Digital Transformation, Big Data, Data Analysis, Business Analytics, Regression Analysis, Analytics, Apache Hadoop, Health Informatics, Deep Learning

    4.5
    Rating, 4.5 out of 5 stars
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    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
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    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
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    195 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Meaningful Predictive Modeling

    Skills you'll gain: Model Evaluation, Predictive Modeling, Data Validation, Regression Analysis, Supervised Learning, Feature Engineering, Python Programming, Statistical Methods, Machine Learning Methods, Data Preprocessing, Classification Algorithms, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
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    49 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    42 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Capstone Project

    Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Statistical Inference, Sampling (Statistics), Model Evaluation, Probability Distribution

    Advanced · Course · 1 - 4 Weeks

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

  • Artificial Intelligence with Python: Foundations to Projects: EDUCBA
  • The DMAIC Framework - Define and Measure Phase: SkillUp
  • Procesamiento de Lenguaje Natural: Universidad Austral
  • Using Custom Fields in Looker Explores: Google Cloud
  • AI and Climate Change: DeepLearning.AI
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
  • 데이터 과학이란 무엇인가?: IBM
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Customising your models with TensorFlow 2: Imperial College London
  • Meaningful Predictive Modeling: University of California San Diego

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