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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.


Popular Python Pandas Courses and Certifications


  • Status: Free
    Free
    C

    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis, Technical Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    210 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Operational Risk Management: Frameworks & Strategies

    Skills you'll gain: Operational Risk, Risk Management Framework, Risk Management, Business Risk Management, Risk Modeling, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Governance, Risk Analysis, Key Performance Indicators (KPIs), Regulatory Requirements, Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    428 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Unilever

    Implementing Supply Chain Analytics

    Skills you'll gain: Descriptive Analytics, Supply Chain Management, Supply Chain Systems, Supply Chain Planning, Transportation, Supply Chain, and Logistics, Predictive Analytics, Forecasting, Inventory Management System, Data-Driven Decision-Making, Business Analytics, Advanced Analytics, Analytics, Agile Methodology, SQL, Data Presentation, Data Analysis, Technical Communication, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    64 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    89 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics, Course 2: Robot Kinematics

    Skills you'll gain: Robotics, Mathematical Modeling, Mathematical Software, Engineering Calculations, Applied Mathematics, Engineering Analysis, Mechanics, Simulation and Simulation Software, Engineering, Virtual Environment, Torque (Physics), Numerical Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building Autonomous AI Agents with LangGraph

    Skills you'll gain: LangGraph, Generative AI Agents, Agentic systems, AI Workflows, OpenAI API, LLM Application, Artificial Intelligence, User Interface (UI), Prompt Engineering, Natural Language Processing, Python Programming, Context Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    55 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Full Stack Software Developer Assessment

    Skills you'll gain: Cloud Computing, Cloud Infrastructure, Cloud Services, JavaScript Frameworks, Back-End Web Development, Cloud Deployment, DevOps, Full-Stack Web Development, OpenShift, Version Control, CI/CD, Application Frameworks, Software Development, Web Applications, Microservices, Containerization, Kubernetes, Web Development, Node.JS, Serverless Computing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    289 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Text Mining, Applied Machine Learning, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    140 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    582 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Practical Data Science for Data Analysts

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Feature Engineering, Model Evaluation, Data Import/Export, Matplotlib, Data Science, Regression Analysis, Financial Data, Data Analysis, Exploratory Data Analysis, Business Analytics, Data Cleansing, Pandas (Python Package), Machine Learning Algorithms, Statistical Visualization, Financial Analysis, Statistical Modeling, Statistical Analysis, Predictive Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    30 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Ciencia de datos​

    Skills you'll gain: Data Visualization, Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Data Literacy, Correlation Analysis, Data Quality, Data Science, Jupyter, Data Analysis, Data Preprocessing, Data Transformation, Data Cleansing, Business Analytics, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    569 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    291 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Data Science Challenge: Coursera
  • Operational Risk Management: Frameworks & Strategies: New York Institute of Finance
  • Implementing Supply Chain Analytics: Unilever
  • Deep Learning with PyTorch: IBM
  • Modern Robotics, Course 2: Robot Kinematics: Northwestern University
  • Building Autonomous AI Agents with LangGraph: Packt
  • Full Stack Software Developer Assessment: IBM
  • Generative AI Language Modeling with Transformers: IBM
  • Getting started with TensorFlow 2: Imperial College London
  • Practical Data Science for Data Analysts: Corporate Finance Institute

Skills you can learn in Data Analysis

Analytics (85)
Big Data (64)
Python Programming (47)
Business Analytics (40)
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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