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  • Python For Data Analysis

Python for Data Analysis Courses

Python for Data Analysis courses can help you learn data manipulation, statistical analysis, data visualization, and data cleaning techniques. You can build skills in using libraries like Pandas for data handling, NumPy for numerical data processing, and Matplotlib or Seaborn for creating informative graphs. Many courses also cover practical applications such as exploratory data analysis and predictive modeling, allowing you to apply your skills to real datasets and derive actionable insights.


Popular Python for Data Analysis Courses and Certifications


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Power Platform in Business Analysis

    Skills you'll gain: Microsoft Power Platform, Power BI, Microsoft Power Automate/Flow, Data Visualization, Interactive Data Visualization, Dashboard, Microsoft 365, No-Code Development, Business Process Automation, Data Analysis, Generative AI Agents, Application Development, Business Process, Data Integration

    4
    Rating, 4 out of 5 stars
    ·
    68 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Data Management for Analytics Part 1

    Skills you'll gain: Database Design, Database Theory, Data Modeling, Database Management Systems, Metadata Management, Databases, Data Management, Relational Databases, Unified Modeling Language, Data Governance, Enterprise Modeling, Data Integrity, Data Quality

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Analytics and Big Data

    Skills you'll gain: Database Design, Relational Databases, Database Systems, Database Management, NoSQL, Databases, Database Development, SQL, Big Data, Model Evaluation, Apache Hadoop, Database Management Systems, MySQL, Statistical Analysis, Data Visualization, Database Theory, Data Analysis, Exploratory Data Analysis, Transaction Processing, Data Preprocessing

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    87 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Big Data, Serverless Computing, Model Evaluation, Machine Learning, Exploratory Data Analysis, Time Series Analysis and Forecasting, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Agentic AI Content for Practitioners (Teams: Data)

    Skills you'll gain: AI Workflows, Agentic systems, AI Orchestration, AI Enablement, Advanced Analytics, Data Processing, Enterprise Architecture, Automation, Data Transformation, Artificial Intelligence, Continuous Improvement Process, Data Quality, Application Deployment, Scalability, Performance Tuning, Business Metrics, Software Design Patterns

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Investment Strategies and Portfolio Analysis

    Skills you'll gain: Portfolio Management, Investment Management, Performance Measurement, Performance Analysis, Return On Investment, Investments, Financial Market, Financial Analysis, Risk Analysis, Benchmarking, Statistical Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    280 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnKartS

    AWS Databases & Compute for Data Engineers

    Skills you'll gain: Serverless Computing, Containerization, Amazon Web Services, Data Migration, Amazon DynamoDB, Docker (Software), Databases, Cloud Engineering, Kubernetes, AWS Identity and Access Management (IAM), Operational Databases, Amazon Elastic Compute Cloud, Database Management, Performance Tuning, Amazon CloudWatch, Cloud Security, Identity and Access Management, Application Programming Interface (API), Data Security, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Teradata: Improving Analysis and Storage

    Skills you'll gain: Teradata SQL, SQL, Data Store, Database Design, Database Management, Relational Databases, Query Languages, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Agile Dashboards for Data-Driven Decision-Making

    Skills you'll gain: Performance Analysis, Performance Measurement, Customer Analysis, Dashboard, Market Opportunities, Business Metrics, Decision Making, Strategic Decision-Making, Agile Methodology, Real Time Data, Management Reporting, Business Intelligence, Organizational Effectiveness, Business Leadership, Data-Driven Decision-Making, Business Strategies, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Requirements Gathering in Business Analysis

    Skills you'll gain: User Story, Business Requirements, Requirements Analysis, Requirements Elicitation, Business Analysis, User Requirements Documents, Gap Analysis, Diagram Design, Business Process Modeling, Stakeholder Engagement, Needs Assessment, Interviewing Skills

    4.7
    Rating, 4.7 out of 5 stars
    ·
    103 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Power Platform in Business Analysis: Microsoft
  • Data Management for Analytics Part 1: Northeastern University
  • Data Analytics and Big Data: Illinois Tech
  • Google BigQuery for Data and ML Engineers: Pearson
  • Agentic AI Content for Practitioners (Teams: Data): Coursera
  • Investment Strategies and Portfolio Analysis: Rice University
  • Logistic Regression with NumPy and Python: Coursera
  • AWS Databases & Compute for Data Engineers: LearnKartS
  • Teradata: Improving Analysis and Storage: LearnQuest
  • Agile Dashboards for Data-Driven Decision-Making: Duke University

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