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  • Python For Data Science

Python for Data Science Courses

Python for Data Science courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with data sets, performing exploratory data analysis, and developing predictive models. Many courses introduce tools like Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for machine learning, allowing you to apply your skills in practical projects and real-world data challenges.


More to explore:

Popular Python for Data Science Courses and Certifications


  • Status: New
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    EDUCBA

    Analyze and Visualize Business Data with Power BI

    Skills you'll gain: Power BI, Data Modeling, Analytical Skills, Data Visualization, Data Presentation, Analysis, Business Reporting, Data Management, Data Storytelling, Business Analytics, Personally Identifiable Information, Management Reporting, Real Time Data, Analytics, Visualization (Computer Graphics), Ad Hoc Reporting, Customer Analysis, Time Series Analysis and Forecasting, Marketing Analytics, Profit and Loss (P&L) Management

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Google

    Introduction to Git and GitHub

    Skills you'll gain: Git (Version Control System), GitHub, Version Control, Continuous Integration, Software Versioning, Collaborative Software, Software Development Tools, Code Review, Issue Tracking, Command-Line Interface

    4.8
    Rating, 4.8 out of 5 stars
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    8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    Universidad Austral

    Excel aplicado a los negocios (Nivel Avanzado)

    Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Expressions (DAX), Data Validation, Business Analysis, Business Analytics, Data Import/Export, Process Optimization, Business Modeling, Data Integration

    4.8
    Rating, 4.8 out of 5 stars
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    3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Colorado Boulder

    Graphic Design

    Skills you'll gain: Graphic Design, Graphic and Visual Design, Graphic and Visual Design Software, Design, Visual Design, Layout Design, Typography, Design Reviews, Adobe Photoshop, Design Elements And Principles, Design Strategies, Color Theory, Editing, Creativity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California, Davis

    SQL for Data Science Capstone Project

    Skills you'll gain: Presentations, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Statistical Analysis, Data Modeling, Performance Metric, Business Analytics, Text Mining, Data Science, Target Audience, Data Manipulation, Proposal Development

    4.2
    Rating, 4.2 out of 5 stars
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    257 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    ChatGPT and Prompt Engineering With Advanced Data Analysis

    Skills you'll gain: AI Workflows, Artificial Neural Networks

    Intermediate · Course · 3 - 6 Months

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    C

    Coursera

    Secure Data: Mask, Monitor, and Audit

    Skills you'll gain: Security Management

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Apply Statistical Data Analysis with Minitab

    Skills you'll gain: Classification And Regression Tree (CART), Data-Driven Decision-Making, Minitab, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Case Studies, Business Analytics, Decision Tree Learning, Predictive Analytics, Estimation, Statistical Visualization, Probability & Statistics, Microsoft Excel, Statistical Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Statistics, Analytical Skills

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    L

    Logical Operations

    Power BI: Data Analysis, Reporting, and Connecting

    Skills you'll gain: Power BI, Business Reporting, Business Intelligence, Data Storytelling, Business Intelligence Software, Data Visualization Software, Data Analysis, Microsoft Excel, Data Analysis Software, Data Modeling, Data Integration, Self Service Technologies, Data Management, Microsoft PowerPoint, Microsoft 365, Microsoft Office

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Automate Invoice Data Entry with AI

    Skills you'll gain: Document Management

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Design Real-Time Architectures with Spark & Kafka

    Skills you'll gain: Apache Kafka, Data Pipelines, Real Time Data, Apache Spark, Event-Driven Programming, Distributed Computing, Software Architecture, Performance Tuning, Real-Time Operating Systems, Application Deployment, Systems Architecture, Scalability, Data Processing, System Monitoring, Architecture and Construction, Data Transformation, Performance Management

    Intermediate · Course · 1 - 4 Weeks

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

  • Analyze and Visualize Business Data with Power BI: EDUCBA
  • Introduction to Git and GitHub: Google
  • Excel aplicado a los negocios (Nivel Avanzado): Universidad Austral
  • Graphic Design: University of Colorado Boulder
  • SQL for Data Science Capstone Project: University of California, Davis
  • ChatGPT and Prompt Engineering With Advanced Data Analysis: Packt
  • Secure Data: Mask, Monitor, and Audit: Coursera
  • Apply Statistical Data Analysis with Minitab: EDUCBA
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
  • Power BI: Data Analysis, Reporting, and Connecting: Logical Operations

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