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  • Python Pandas

Python Pandas Courses

Python Pandas courses can help you learn data manipulation, data analysis, and data visualization techniques. You can build skills in handling large datasets, performing statistical analysis, and cleaning data for better insights. Many courses introduce tools like Jupyter Notebooks and Matplotlib, that support applying your skills in real-world data projects. You'll also explore key topics such as time series analysis, merging datasets, and using functions to automate repetitive tasks, making your data workflows more efficient.


More to explore:

Popular Python Pandas Courses and Certifications


  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Engineer & Explain AI Model Decisions

    Skills you'll gain: Feature Engineering, Responsible AI, Model Evaluation, Technical Communication, Data Preprocessing, Data Transformation, Performance Analysis, Data Wrangling, Data Cleansing, Data Analysis, Predictive Modeling, Machine Learning, Artificial Intelligence, Embeddings, Decision Support Systems, Scikit Learn (Machine Learning Library), Pandas (Python Package), Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Packt

    Interview Questions and Real-World Applications

    Skills you'll gain: Data Structures, Algorithms, Computer Programming, Computational Thinking, Program Development, Technical Design, Debugging, Problem Solving, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    EDUCBA

    Mastering Data Visualization with Matplotlib

    Skills you'll gain: Matplotlib, Data Storytelling, Data Presentation, Data Visualization, Plot (Graphics), Scientific Visualization, Data Visualization Software, Scatter Plots, Image Quality, NumPy, Histogram, Image Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
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    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Simplilearn

    LLM Fine-Tuning and Customization Training

    Skills you'll gain: LLM Application, LangChain, Responsible AI, Large Language Modeling, Model Deployment, OpenAI, Data Preprocessing, Hugging Face, Model Evaluation, Transfer Learning, Supervised Learning, Reinforcement Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Edureka

    Use Tableau for your Data Science Workflow

    Skills you'll gain: Data Visualization, Data-Driven Decision-Making, Data Ethics, R (Software), Data Science, Data Governance, Advanced Analytics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Simplilearn

    LangChain Course for LLM Application Development

    Skills you'll gain: LangChain, LLM Application, Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Hugging Face, AI Workflows, Context Management, Generative AI Agents, Vector Databases, Prompt Engineering, Semantic Web

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Local LLMs with llamafile

    Skills you'll gain: LLM Application, Model Deployment, Real Time Data, Large Language Modeling, Application Deployment, System Monitoring, Cross Platform Development, Application Programming Interface (API), Machine Learning

    2.7
    Rating, 2.7 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Packt

    Preprocessing Unstructured Data for LLMs and RAG Systems

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, LangChain, Embeddings, Real Time Data, Vision Transformer (ViT), Data Quality

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
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    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    I

    International Institute of Information Technology, Hyderabad

    Fundamentals of Computer Organization

    Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Systems Architecture, Computer Systems, Computer Hardware, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular python pandas courses

  • Engineer & Explain AI Model Decisions: Coursera
  • Interview Questions and Real-World Applications: Packt
  • Mastering Data Visualization with Matplotlib: EDUCBA
  • Data Science Fundamentals, Part 2: Pearson
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • LLM Fine-Tuning and Customization Training: Simplilearn
  • Use Tableau for your Data Science Workflow: Edureka
  • LangChain Course for LLM Application Development: Simplilearn
  • Local LLMs with llamafile: Duke University
  • Preprocessing Unstructured Data for LLMs and RAG Systems: Packt

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R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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