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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: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    Machine Learning For Dummies

    Skills you'll gain: Data Literacy, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Responsible AI, Data Ethics, Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Model Training, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Deep Learning, Convolutional Neural Networks, Machine Learning Software, Python Programming, Data Preprocessing, Feature Engineering

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Querying Databases Using SQL SELECT statement

    Skills you'll gain: SQL, Query Languages, Database Management, PostgreSQL, Data Access, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    176 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Sequences, Time Series and Prediction

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    5.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    845 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    MongoDB Inc.

    MongoDB Aggregation Framework

    Skills you'll gain: Data Transformation, MongoDB, Data Manipulation, Data Processing, Data Integration, NoSQL, Data Migration, Data Analysis, Query Languages, Data Preprocessing, Data Pipelines, Unstructured Data, Network Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Design of Experiments

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Science and Research, Scientific Methods, Statistical Methods, Data Analysis Software, Model Optimization, Statistical Software, Mathematical Software, Design Strategies, Sampling (Statistics), Simulations, Probability & Statistics, Statistical Modeling, Statistical Inference, Statistical Hypothesis Testing, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    390 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Model Training, Applied Machine Learning, Model Optimization, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
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    155 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference

    4.9
    Rating, 4.9 out of 5 stars
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    938 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    R

    Rice University

    Introduction à l'analyse de données à l'aide d'Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Statistical Visualization, Spreadsheet Software, Excel Formulas, Data Synthesis, Graphing, Data Analysis, Scatter Plots, Data Presentation, Data Literacy, Histogram, Data Manipulation, Data Import/Export

    4.5
    Rating, 4.5 out of 5 stars
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    22 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Generative AI Learning Path

    Skills you'll gain: Responsible AI, LLM Application, Generative Model Architectures, AI literacy, AI Product Strategy, Deep Learning, Statistical Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Fundamentos de estadística aplicada

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Data Literacy, Statistical Methods, Data Analysis, Statistics, Regression Analysis, Sampling (Statistics), Statistical Analysis, Statistical Modeling, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference, Analytical Skills, Correlation Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    151 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Machine Learning For Dummies: John Wiley & Sons
  • Querying Databases Using SQL SELECT statement: Coursera
  • Sequences, Time Series and Prediction: DeepLearning.AI
  • Machine Learning: Classification: University of Washington
  • Supervised Machine Learning: Regression: IBM
  • MongoDB Aggregation Framework: MongoDB Inc.
  • Design of Experiments: Arizona State University
  • Generative AI Language Modeling with Transformers: IBM
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Introduction à l'analyse de données à l'aide d'Excel: Rice University

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