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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


  • U

    University of London

    Understanding Research Methods

    Skills you'll gain: Research Methodologies, Research Design, Research, Surveys, Qualitative Research, Writing, Ethical Standards And Conduct, Data Collection, Timelines, Social Sciences

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.9K reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    The STATA OMNIBUS: Regression and Modelling with STATA

    Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Data Visualization, Data Manipulation, Logistic Regression, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 3 - 6 Months

  • U

    Universidad de los Andes

    Integración y preparación de datos

    Skills you'll gain: Data Integration, Data Literacy, Data Quality, Exploratory Data Analysis, Data Preprocessing, Data Transformation, Data Cleansing, Data Manipulation, Jupyter, Data Compilation, Data Visualization, Data Analysis, Data-Driven Decision-Making, Data Science, Data Management, Pandas (Python Package), Predictive Modeling, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    104 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Building R Packages

    Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, R Programming, Knitr, Continuous Integration, Development Testing, Technical Documentation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    223 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI and Disaster Management

    Skills you'll gain: Disaster Recovery, Image Analysis, Data Ethics, Emergency Response, Mitigation, Text Mining, Natural Language Processing, Artificial Intelligence, Geospatial Mapping, Computer Vision, Spatial Data Analysis, Artificial Neural Networks, Convolutional Neural Networks, Data Preprocessing, Model Evaluation, Exploratory Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    319 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.3
    Rating, 3.3 out of 5 stars
    ·
    104 reviews

    Advanced · Course · 1 - 3 Months

  • V

    Vanderbilt University

    Introduction to Programming with MATLAB

    Skills you'll gain: File I/O, Matlab, Computer Programming, Programming Principles, Debugging, Mathematical Software, Development Environment, Computer Science, User Interface (UI), Data Structures, Engineering Calculations, Plot (Graphics), Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Custom and Distributed Training with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Distributed Computing, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    438 reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    New York University

    Reinforcement Learning in Finance

    Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Machine Learning Methods, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Market Dynamics

    3.6
    Rating, 3.6 out of 5 stars
    ·
    134 reviews

    Advanced · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Transformation, Statistical Modeling, Trend Analysis, Predictive Analytics, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    143 reviews

    Mixed · Course · 1 - 4 Weeks

  • F

    Fractal Analytics

    Model Context Protocol (MCP) Mastery

    Skills you'll gain: Model Context Protocol, AI Security, Threat Modeling, AI Workflows, Secure Coding, LLM Application, Enterprise Architecture, Generative AI Agents, Security Controls, Interoperability, Agentic systems, Generative AI

    4.5
    Rating, 4.5 out of 5 stars
    ·
    55 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Understanding Research Methods: University of London
  • The STATA OMNIBUS: Regression and Modelling with STATA: Packt
  • Integración y preparación de datos: Universidad de los Andes
  • Building R Packages: Johns Hopkins University
  • AI and Disaster Management: DeepLearning.AI
  • Causal Inference: Columbia University
  • Introduction to Programming with MATLAB: Vanderbilt University
  • Custom and Distributed Training with TensorFlow: DeepLearning.AI
  • Reinforcement Learning in Finance: New York University
  • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs

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