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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: Free
    Free
    A

    Amazon Web Services

    Fundamentals of Machine Learning and Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, AI Enablement, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Introdução à Ciência e Engenharia de Dados

    Skills you'll gain: Big Data, Data Mining, Data-Driven Decision-Making, Data Modeling, Analytics, Data Science, Data Analysis, Business Analytics, Data Processing, Predictive Analytics, Databases, Machine Learning Methods

    4.4
    Rating, 4.4 out of 5 stars
    ·
    41 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Applied Calculus with Python

    Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Advanced Mathematics, Mathematical Software, Mathematical Modeling, Derivatives, Programming Principles

    4.9
    Rating, 4.9 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Regression Analysis, NumPy, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    438 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Natural Language Processing and Capstone Assignment

    Skills you'll gain: Predictive Modeling, Natural Language Processing, Social Media, Text Mining, Cloud Computing, Unstructured Data, Big Data, Business Analytics, Data Science, Data Analysis, Geospatial Information and Technology, Internet Of Things, Deep Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    49 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Python: de usuario a explorador de datos

    Skills you'll gain: Extract, Transform, Load, Pandas (Python Package), NumPy, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Visualization Software, Package and Software Management, Graphing, Data Analysis, Jupyter, Data Import/Export, Python Programming, Data Manipulation

    3.9
    Rating, 3.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Build RAG Applications: Get Started

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Prompt Engineering, Embeddings, Vector Databases

    4.5
    Rating, 4.5 out of 5 stars
    ·
    114 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Everyone

    Skills you'll gain: Generative AI, AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Creative Problem-Solving, HR Tech, Marketing, Information Privacy, Critical Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    130 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Fundamentos de estadística aplicada

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    140 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Access Bioinformatics Databases with Biopython

    Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Wrangling, Database Software, File I/O, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    46 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    Universidades Anáhuac

    Introducción a R

    Skills you'll gain: Ggplot2, Data Visualization, R Programming, Data Presentation, Statistical Programming, Data Analysis, Scripting Languages, Data Manipulation, Software Installation, Descriptive Statistics, Data Import/Export

    Beginner · Course · 1 - 3 Months

Searches related to data manipulation

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

  • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
  • Introdução à Ciência e Engenharia de Dados: Fundação Instituto de Administração
  • Applied Calculus with Python: Johns Hopkins University
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Linear Regression with Python: Coursera
  • Natural Language Processing and Capstone Assignment: University of California, Irvine
  • Python: de usuario a explorador de datos: Universidad Nacional Autónoma de México
  • Build RAG Applications: Get Started: IBM
  • GenAI for Everyone: Coursera
  • Fundamentos de estadística aplicada: Universidad de los Andes

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