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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


  • K

    KodeKloud

    Generative AI Engineering with OpenAI API and AWS Models

    Beginner · Specialization · 1 - 3 Months

  • U

    University of California, Davis

    Essential Design Principles for Tableau

    Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Data Storytelling, Data Presentation, Exploratory Data Analysis, Visual Design, Statistical Visualization, Graphic and Visual Design, Design Elements And Principles, Data Analysis, Color Theory, Data Ethics, Statistical Analysis, Anomaly Detection, Human Factors, Aesthetics

    ★ 4.4 (2.1K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Supervised Machine Learning

    Skills you'll gain: Supervised Learning, Model Optimization, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Machine Learning Methods, Decision Tree Learning, Predictive Modeling, Machine Learning, Fine-tuning, Machine Learning Algorithms, Model Evaluation, Logistic Regression, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
  • T

    The State University of New York

    Practical Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, R (Software), Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Programming, Data Visualization, Statistical Visualization, Statistical Software, Mathematical Modeling, Statistical Methods, Statistical Modeling, Predictive Analytics, Predictive Modeling, Correlation Analysis, Descriptive Statistics, Statistical Inference, Data Transformation

    ★ 4.6 (1.7K) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • P

    Packt

    Customer Insights and Personalization with Machine Learning

    Skills you'll gain: AI Personalization, Feature Engineering, Personalized Service, Customer Insights, Customer Analysis, Marketing Analytics, Data Transformation, Predictive Analytics, Customer Engagement, Predictive Modeling, Data-Driven Marketing, Machine Learning Methods, Customer experience improvement, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Text Mining, Marketing Strategies, Business Intelligence, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • L

    LearnKartS

    Deploy, Test & Secure AI Workflows with n8n

    Skills you'll gain: Retrieval-Augmented Generation, AI Security, AI Workflows, Model Context Protocol, Application Deployment, AI Orchestration, System Monitoring, Security Controls, Prompt Engineering, Containerization, Automation, Cloud Deployment, Data Migration, Model Evaluation, Docker (Software), Verification And Validation, Configuration Management, Debugging

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Unit Testing, Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Full-Stack Web Development, Flask (Web Framework), Software Design, Version Control, File Management, Unix Shell, Web Development, Linux, Application Deployment, Data Import/Export, Python Programming, NumPy

    ★ 4.6 (52K) · Beginner · Specialization · 3 - 6 Months

    Category: Bestseller
    Bestseller
  • C

    Chegg Skills

    Practical Prompt Engineering with AI

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
  • U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Data-Driven Decision-Making, Statistical Analysis, Data Analysis, Sampling (Statistics), Jupyter, Analysis, Statistical Programming, Python Programming

    ★ 4.6 (937) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • U

    University of Michigan

    Practical AI for Social Impact

    Skills you'll gain: Social Impact, Responsible AI, Machine Learning Algorithms, Case Studies, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Artificial Intelligence, Reinforcement Learning, Decision Intelligence, Data Ethics, AI literacy, Applied Machine Learning, Machine Learning, Model Deployment

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
  • U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods, Statistical Hypothesis Testing, Data Visualization, Decision Intelligence, Operations Research, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Statistical Analysis, Sampling (Statistics), Statistical Inference, Mathematical Modeling

    ★ 4.6 (1.5K) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
  • H

    H2O.ai

    The AI Lifecycle with the H2O.ai Platform

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Model Deployment, Generative Model Architectures, Generative AI Agents, Prompt Engineering, CrewAI, OpenAI, Responsible AI, LangGraph, Enterprise Architecture, Agentic Workflows, AI Security, Model Training, Feature Engineering, Model Evaluation, Agentic systems, Containerization

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
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In summary, here are 10 of our most popular data manipulation courses

  • Generative AI Engineering with OpenAI API and AWS Models: KodeKloud
  • Essential Design Principles for Tableau: University of California, Davis
  • Supervised Machine Learning: Coursera
  • Practical Time Series Analysis: The State University of New York
  • Customer Insights and Personalization with Machine Learning: Packt
  • Deploy, Test & Secure AI Workflows with n8n: LearnKartS
  • Applied Software Engineering Fundamentals: IBM
  • Practical Prompt Engineering with AI: Chegg Skills
  • Inferential Statistical Analysis with Python: University of Michigan
  • Practical AI for Social Impact: University of Michigan

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