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  • Python Data Science

Python Data Science Courses

Python Data Science courses can help you learn data manipulation, statistical analysis, machine learning, and data visualization. You can build skills in programming with Python, working with libraries like Pandas and NumPy, and applying algorithms to solve real-world problems. Many courses introduce tools such as Jupyter Notebooks for interactive coding, Matplotlib for creating visualizations, and Scikit-learn for implementing machine learning models, all of which enhance your ability to analyze and interpret complex data sets.


Popular Python Data Science Courses and Certifications


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    Logical Operations

    SAP Crystal Reports 2020 Mastery

    Skills you'll gain: Data Presentation, Heat Maps, Geospatial Mapping, SQL, Data Visualization Software, Statistical Visualization, Data Visualization, Plot (Graphics), Pivot Tables And Charts, Management Reporting, Business Reporting, Stored Procedure, Microsoft Access, Business Intelligence Software, Business Intelligence, Data Analysis Software, Data Analysis, Relational Databases, Query Languages, Microsoft Office

    Intermediate · Specialization · 1 - 3 Months

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    EDUCBA

    Implement Hand Gesture Recognition with OpenCV

    Beginner · Course · 1 - 4 Weeks

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    Board Infinity

    Forecasting for Marketers: Mastering Google Analytics

    Skills you'll gain: Marketing Budgets, Stakeholder Engagement, Data-Driven Decision-Making, Marketing Effectiveness, Marketing Planning, Analytics, Data Presentation, Predictive Modeling, Trend Analysis, Presentations, Dashboard, Performance Reporting, Data Quality

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Apply Statistical Analysis Using Minitab for Beginners

    Skills you'll gain: Minitab, Predictive Analytics, Statistical Visualization, Data Visualization Software, Statistical Analysis, Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Regression Analysis, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • 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

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    Arizona State University

    Classification and Planned Experiments

    Skills you'll gain: Experimentation, Research Design, Statistical Modeling, Statistical Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Inference, Simulation and Simulation Software, Probability & Statistics, Data Science, Data Visualization, Simulations, Data Analysis, Data Analysis Software

    Intermediate · Course · 1 - 4 Weeks

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    Universidad Austral

    Fundamentos de Excel para Negocios

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Excel Formulas, Data Analysis, Data Visualization, Data Entry, Productivity Software, Presentations, Data Management, Financial Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    5.5K reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Apply Test-Driven ML Code

    Skills you'll gain: Unit Testing, Test Driven Development (TDD), CI/CD, Software Testing, Model Deployment, Testability, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Software Engineering, Machine Learning Methods, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    L

    Logical Operations

    Crystal Reports: Report Fundamentals

    Skills you'll gain: Business Reporting, Microsoft Access, Report Writing, Microsoft Excel, Data Presentation, Business Intelligence Software, SAP Applications, Data Analysis Software, Business Intelligence, Data Analysis, Microsoft Office

    Mixed · Course · 1 - 4 Weeks

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    Microsoft

    Unlock Business Insights with Microsoft Excel and Power BI

    Skills you'll gain: Excel Formulas, Data Storytelling, Microsoft Excel, Dashboard, Pivot Tables And Charts, Power BI, Data-Driven Decision-Making, Microsoft Copilot, Spreadsheet Software, Data Literacy, Data Presentation, Data Visualization Software, Generative AI, Data Visualization, Data Analysis, Business Intelligence, Data Processing, Data Collection, Interactive Data Visualization, Business Metrics

    4.5
    Rating, 4.5 out of 5 stars
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    759 reviews

    Beginner · Specialization · 3 - 6 Months

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    EDUCBA

    Analyze Supply Chain Demand Trends Using Heatmaps & Clusters

    Skills you'll gain: Advanced Analytics, Supply Chain Management, Business Analytics

    Beginner · Course · 1 - 4 Weeks

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

  • SAP Crystal Reports 2020 Mastery: Logical Operations
  • Implement Hand Gesture Recognition with OpenCV: EDUCBA
  • Forecasting for Marketers: Mastering Google Analytics: Board Infinity
  • Apply Statistical Analysis Using Minitab for Beginners: EDUCBA
  • Databricks Machine Learning Fundamentals: Coursera
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Classification and Planned Experiments: Arizona State University
  • Fundamentos de Excel para Negocios: Universidad Austral
  • Apply Test-Driven ML Code: Coursera
  • Crystal Reports: Report Fundamentals: Logical Operations

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Analytics (85)
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Python Programming (47)
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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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