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  • Data Analysis With Python

Data Analysis With Python Courses

Data Analysis with Python courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with datasets, interpreting results, and communicating findings effectively. Many courses introduce tools like Pandas for data handling, Matplotlib and Seaborn for visualization, and Scikit-learn for implementing machine learning algorithms. These skills and tools empower you to analyze complex data sets and derive actionable insights across various domains.


Popular Data Analysis With Python Courses and Certifications


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    Coursera

    GIS Mastery: Spatial Data, Remote Sensing, Decision Support

    Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Spatial Analysis, Global Positioning Systems, Data Analysis, Metadata Management, Decision Support Systems

    4.7
    Rating, 4.7 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Build Streaming Data Pipelines on Google Cloud

    Skills you'll gain: Google Cloud Platform, Data Pipelines, Apache Kafka, Real Time Data, Cloud Services, Extract, Transform, Load, Data Integration, Data Processing, Statistical Analysis, Data Transformation, Data Storage

    4.6
    Rating, 4.6 out of 5 stars
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    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Next-Gen Workplace Automation with GenAI

    Skills you'll gain: CrewAI, Prompt Engineering, Anthropic Claude, Email Automation, Generative AI, ChatGPT, AI Orchestration, AI Workflows, AI Enablement, Responsible AI, AI Product Strategy, Agentic Workflows, Automation, Workflow Management, Report Writing, Productivity, Innovation, Operational Efficiency, Performance Reporting, Customer Support

    4.4
    Rating, 4.4 out of 5 stars
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    387 reviews

    Intermediate · Specialization · 1 - 3 Months

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    EDUCBA

    Build Real-Time Face Recognition with OpenCV

    Skills you'll gain: System Design and Implementation, Model Deployment

    Beginner · Course · 1 - 4 Weeks

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    SkillUp

    Power BI Data Analyst Associate Prep

    Skills you'll gain: Data Analysis Expressions (DAX), Dashboard, Power BI, Data Visualization, Data Transformation, Data Manipulation, Data Modeling, Data Import/Export, Data Visualization Software, Extract, Transform, Load, Data Analysis, Analytics, Data Cleansing, Performance Analysis, Data Security, Data Management

    4.3
    Rating, 4.3 out of 5 stars
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    16 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Starweaver

    GenAI Data and Analytics Academy

    Skills you'll gain: Prompt Engineering, Generative AI Agents, Retrieval-Augmented Generation, CrewAI, AI Orchestration, Vector Databases, Model Deployment, AI Personalization, Generative AI, Transfer Learning, Kubernetes, Enterprise Application Management, ChatGPT, AI Workflows, Containerization, Agentic systems, MLOps (Machine Learning Operations), Python Programming, System Monitoring, Engineering

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Google Cloud

    Build Batch Data Pipelines on Google Cloud

    Skills you'll gain: Data Warehousing, Data Quality, Data Cleansing, Performance Tuning, Data Validation, Scalability, Database Management, System Monitoring, Serverless Computing

    4.5
    Rating, 4.5 out of 5 stars
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    1.7K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Microsoft

    Data Extract, Transform, and Load in Power BI

    Skills you'll gain: Extract, Transform, Load, Power BI, Data Transformation, Data Cleansing, Query Languages, Data Manipulation, Data Integration, Data Validation, Data Import/Export, Data Quality, Data Analysis, Data Modeling, Anomaly Detection, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
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    18 reviews

    Beginner · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Calculus through Data & Modeling: Limits & Derivatives

    Skills you'll gain: Calculus, Mathematical Software, Data Analysis, Mathematical Theory & Analysis, Derivatives, Graphing, Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    209 reviews

    Beginner · Course · 1 - 3 Months

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    Università di Napoli Federico II

    Machine Learning e Data Mining in R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling

    4.9
    Rating, 4.9 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Accelerate Model Training with PyTorch 2.X

    Skills you'll gain: PyTorch (Machine Learning Library), Distributed Computing, Data Pipelines, Performance Tuning, MLOps (Machine Learning Operations), Deep Learning, AI Workflows, Model Deployment, Scalability, LLM Application, Hardware Architecture, Machine Learning, Computer Architecture

    Beginner · Course · 1 - 3 Months

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    Coursera

    Data Management: Dictionaries, Quality and Communication

    Skills you'll gain: Data Dictionary, Data Quality, Data Management, Data Cleansing, Data Validation, Data Governance, Data Integrity, Case Studies, Communication Strategies, Stakeholder Communications, Cross-Functional Collaboration, Continuous Improvement Process

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular data analysis with python courses

  • GIS Mastery: Spatial Data, Remote Sensing, Decision Support: Coursera
  • Build Streaming Data Pipelines on Google Cloud: Google Cloud
  • Next-Gen Workplace Automation with GenAI: Coursera
  • Build Real-Time Face Recognition with OpenCV: EDUCBA
  • Power BI Data Analyst Associate Prep: SkillUp
  • GenAI Data and Analytics Academy: Starweaver
  • Build Batch Data Pipelines on Google Cloud: Google Cloud
  • Data Extract, Transform, and Load in Power BI: Microsoft
  • Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
  • Machine Learning e Data Mining in R: Università di Napoli Federico II

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