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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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    Coursera

    Automate Data Onboarding, Validate, and Govern

    Skills you'll gain: Data Governance, General Data Protection Regulation (GDPR), Data Management, Data Strategy, Metadata Management, Data Architecture, Compliance Management, Data Storage Technologies, Data Integration, Cost Reduction, Data Maintenance, Data Processing, Information Privacy, Data Storage, MLOps (Machine Learning Operations), Data Quality, AI Enablement, Analytics, Extract, Transform, Load, Expense Management

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Analyze Data: Visualize, Summarize, and R

    Skills you'll gain: Exploratory Data Analysis, Financial Data, Data Analysis, Package and Software Management, R Programming, R (Software), Statistical Analysis, Expense Management, Financial Analysis, Tidyverse (R Package), Data Manipulation, Statistical Visualization, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    SkillUp

    Mastering Advanced Data and Analytics Features in Tableau

    Skills you'll gain: Tableau Software, Data Transformation, Data Integration, SQL Server Integration Services (SSIS), Data Visualization Software, Relational Databases, Data Management, Advanced Analytics, Data Analysis, Data Preprocessing, Data Cleansing, Business Intelligence, Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    GenAI for Data Engineers: Scaling with GenAI

    Skills you'll gain: Responsible AI, Prompt Engineering, Generative AI, AI Product Strategy, OpenAI, Data Pipelines, Data Modeling, ChatGPT, Data Transformation, Data Quality, Database Management, SQL

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Analyze Windows Data Ingestion with Splunk Projects

    Skills you'll gain: Splunk, Data Integration, Windows PowerShell, Data Pipelines, Microsoft Windows, Data Preprocessing, Windows Servers, Data Validation, Configuration Management, Unstructured Data, Event Monitoring, System Monitoring

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Process & Analyze Real-Time Data Fast

    Skills you'll gain: Real Time Data, Apache Spark, Fraud detection, PySpark, Databricks, Data Pipelines, Dashboard, Big Data, Performance Tuning, Data Processing, Anomaly Detection, Operational Databases, Internet Of Things, Data Analysis, Performance Analysis, Trend Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Stream & Optimize Real-Time Data Flows

    Skills you'll gain: Apache Kafka, Multi-Tenant Cloud Environments, Data Pipelines, Real Time Data, Operational Data Store, Payment Card Industry (PCI) Data Security Standards, Data Governance, Scalability, Performance Tuning, Capacity Management, Compliance Management, Data Architecture, Application Performance Management, Governance, Apache, Cloud Storage, System Monitoring, Computer Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Performance Testing, Tree Maps, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java, Data Processing, Feature Engineering, Data Cleansing, Data Quality, Data Transformation, Data Validation, Data Access, Continuous Monitoring, Unit Testing, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Data-Driven Apps with Core Data, ML, and App Architecture

    Skills you'll gain: Apple iOS, Core Data (Software), Application Design, Swift Programming, Apple Xcode, User Interface (UI), Mobile Development, Data Store, Machine Learning Software, Software Architecture, Performance Tuning, Database Development, Database Management, Software Design, Model View Controller, User Interface and User Experience (UI/UX) Design, Application Development

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Apply Microsoft Excel Fundamentals for Data Analysis

    Skills you'll gain: Microsoft Excel, Excel Formulas, Data Entry, Spreadsheet Software, Productivity Software, Data Analysis Expressions (DAX), Decision Making, Data Presentation, Debugging

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    G

    Google Cloud

    Enabling Sensitive Data Protection Discovery for BigQuery

    Skills you'll gain: Data Management, Data Loss Prevention, Data Security, Google Cloud Platform, Personally Identifiable Information, Big Data, Identity and Access Management

    Intermediate · Project · Less Than 2 Hours

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

  • Automate Data Onboarding, Validate, and Govern: Coursera
  • Analyze Data: Visualize, Summarize, and R: Coursera
  • Mastering Advanced Data and Analytics Features in Tableau: SkillUp
  • GenAI for Data Engineers: Scaling with GenAI: Coursera
  • Analyze Windows Data Ingestion with Splunk Projects: EDUCBA
  • Process & Analyze Real-Time Data Fast: Coursera
  • Stream & Optimize Real-Time Data Flows: Coursera
  • Choose Optimal Data Structures for ML: Coursera
  • Parse & Normalize Data for ML Pipelines: Coursera
  • Data-Driven Apps with Core Data, ML, and App Architecture: Packt

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Analytics (85)
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Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
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Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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