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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

    Machine Learning Made Easy for Software Engineers

    Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    SkillUp

    Machine Learning for Healthcare Applications

    Skills you'll gain: Unsupervised Learning, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Supervised Learning, Clinical Informatics, Machine Learning, Health Informatics, Data Preprocessing, Clinical Data Management, Predictive Analytics, Patient Safety, Decision Tree Learning, Time Series Analysis and Forecasting, Logistic Regression, Forecasting, Classification Algorithms, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Product Analytics Unlocked: Metrics to Meaningful Insight

    Skills you'll gain: Data Storytelling, Dashboard, Data Pipelines, Web Analytics, Strategic Prioritization, Customer Retention, Process Analysis, Customer Analysis, Product Strategy, SQL, Data Analysis, Business Intelligence, Data Warehousing, Pandas (Python Package), Performance Metric, Statistical Analysis, Scikit Learn (Machine Learning Library), Decision Making, Resource Allocation, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Predict and Validate Regression Models in R

    Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, Advanced Analytics, R Programming, Statistical Methods, Data Validation, Verification And Validation, Plot (Graphics), Exploratory Data Analysis, Technical Communication

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Building LLM Powered Applications

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Responsible AI, Large Language Modeling, Hugging Face, Generative AI, Generative Model Architectures, Retrieval-Augmented Generation, Generative AI Agents, AI Orchestration, Embeddings, Python Programming, Vector Databases, Machine Learning, Data Science

    Beginner · Course · 3 - 6 Months

  • Status: New
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    EDUCBA

    Apply R for Business Analytics Projects

    Skills you'll gain: Fraud detection, Marketing Analytics, Predictive Modeling, Customer Analysis, Feature Engineering, Marketing Effectiveness, Exploratory Data Analysis, Anomaly Detection, Customer Retention, Advanced Analytics, Market Analysis, Predictive Analytics, Statistical Analysis, Sales Management, Analytics, Data Analysis, R Programming, Credit Risk, Applied Machine Learning, Analytical Skills

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Advanced Marketing Analytics, Funnels, and Dashboarding

    Skills you'll gain: Marketing Analytics, Dashboard, Marketing Effectiveness, Google Analytics, Pivot Tables And Charts, Spreadsheet Software, Content Performance Analysis, Web Analytics, Performance Analysis, Trend Analysis, Interactive Data Visualization, Marketing Planning, Marketing Channel, Campaign Management, Business Marketing, Analysis, Analytical Skills, Data Modeling, Data Science, Data Management

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    Erasmus University Rotterdam

    Econometrics: Methods and Applications

    Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Data Analysis, Analytics, Statistical Analysis, Statistics, Case Studies, Forecasting, Model Evaluation, Probability, Linear Algebra, Peer Review

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Spark, Skew & Speed: Pipeline Performance Engineering

    Skills you'll gain: System Monitoring, Data Quality, Performance Tuning, Apache Spark, Data Validation, Data Pipelines, Operational Databases, Debugging, Data Transformation, Anomaly Detection, PySpark, Performance Analysis, Extract, Transform, Load, Failure Analysis, SQL, Data Architecture, Data Processing, Benchmarking, Root Cause Analysis, Distributed Computing

    Advanced · Specialization · 3 - 6 Months

  • Status: New
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    Status: Preview
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    EDUCBA

    Build and Analyze SSRS Reports with SQL Server

    Skills you'll gain: SQL Server Reporting Services, Microsoft SQL Servers, Business Reporting, Business Intelligence, SQL, Interactive Data Visualization, Data Visualization, Microsoft Development Tools, Microsoft Visual Studio

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Machine Learning Made Easy for Software Engineers: Coursera
  • Machine Learning for Healthcare Applications: SkillUp
  • Product Analytics Unlocked: Metrics to Meaningful Insight: Coursera
  • Predict and Validate Regression Models in R: Coursera
  • Building LLM Powered Applications: Packt
  • Apply R for Business Analytics Projects: EDUCBA
  • Advanced Marketing Analytics, Funnels, and Dashboarding: Coursera
  • Econometrics: Methods and Applications: Erasmus University Rotterdam
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Spark, Skew & Speed: Pipeline Performance Engineering: Coursera

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