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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
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    Coursera

    Optimize Spark Performance: Analyze & Accelerate

    Skills you'll gain: Apache Spark, Performance Tuning, PySpark, Data Pipelines, Data Processing, Systems Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Design & Optimize SQL Database Schemas

    Skills you'll gain: Database Design, Database Development, SQL, Database Architecture and Administration, Data Modeling, Database Management, Technical Documentation

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    13K reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    LLM Engineering That Works: Prompting, Tuning, and Retrieval

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    EDUCBA

    Apply Machine Learning for Predictive Business Analytics

    Skills you'll gain: Model Evaluation, Feature Engineering, Data Preprocessing, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Risk Modeling, Inventory Management System, Analytics, Advanced Analytics, Supply Chain Management, Business Analytics, Machine Learning, Business

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    University of Michigan

    Statistics with Python

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Statistical Software, Probability & Statistics, Model Evaluation, Seaborn, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Start Neural Networks Advanced Model Architectures

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Annotate and Analyze Objects for Vision

    Skills you'll gain: Image Analysis, Data Cleansing, Quality Assurance, Quality Assessment, Packaging and Labeling, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Minitab Applied Statistics & Hypothesis Testing Mastery

    Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Business Analytics, Sampling (Statistics), Probability & Statistics, Probability Distribution, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Performance Analysis, Predictive Analytics, Statistical Inference, Case Studies, Statistical Visualization, Quality Control, Statistical Modeling

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Edureka

    Neural Networks and Computer Vision Foundations

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Artificial Neural Networks, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Applied Machine Learning, Embeddings, Network Architecture, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    ML Model Training & Validation

    Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

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

  • Optimize Spark Performance: Analyze & Accelerate: Coursera
  • Design & Optimize SQL Database Schemas: Coursera
  • Design Prompts for Everyday Work Tasks: Google
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
  • Apply Machine Learning for Predictive Business Analytics: EDUCBA
  • Statistics with Python: University of Michigan
  • Start Neural Networks Advanced Model Architectures: Coursera
  • Annotate and Analyze Objects for Vision: Coursera
  • Minitab Applied Statistics & Hypothesis Testing Mastery: EDUCBA

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