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Python Courses

Python courses can help you learn programming fundamentals, data analysis, web development, and automation techniques. You can build skills in writing clean code, debugging, and using libraries like Pandas and NumPy for data manipulation. Many courses also introduce frameworks such as Flask and Django for web applications, as well as tools like Jupyter Notebooks for interactive coding and visualization. These skills and tools are essential for tackling projects in data science, software development, and artificial intelligence.


Popular Python Courses and Certifications


  • I

    IBM

    IBM Data Analyst

    Skills you'll gain: Data Storytelling, Dashboard Creation, Data Presentation, Data Wrangling, Generative AI, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, SQL, Plot (Graphics), Dashboard, Interactive Data Visualization, Data Analysis, Professional Networking, IBM Cognos Analytics, Excel Formulas, Python Programming, Microsoft Excel

    ★ 4.6 (99K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: AI skills
    AI skills
    Category: Build toward a degree
    Build toward a degree
  • C

    Coursera

    Financial Analyst: AI, Excel, and Power BI Skills

    Skills you'll gain: Financial Modeling, Financial Statements, Financial Forecasting, Financial Statement Analysis, Risk Modeling, Risk Management Framework, Capital Budgeting, Risk Management, Financial Auditing, Data Cleansing, Financial Data, Portfolio Risk, Financial Analysis, Risk Analysis, Budgeting, Credit Risk, Predictive Modeling, Power BI, Microsoft Excel, Data Visualization

    Intermediate · Professional Certificate · 3 - 6 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Data Analysis with Pandas and Python

    Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Plot (Graphics), Pivot Tables And Charts, Jupyter, Data Visualization Software, Microsoft Excel, Data Analysis, Spreadsheet Software, Text Mining, Data Wrangling, Data Access, Data Manipulation, Data Cleansing, Data Presentation, Data Processing, Data Integration, Programming Principles, Time Series Analysis and Forecasting

    ★ 4.7 (41) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Foundations of Data Analysis with Pandas and Python

    Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Data Wrangling, Data Access, Programming Principles, Python Programming, Data Structures, Development Environment, Scripting, Package and Software Management, Software Installation, Object Oriented Programming (OOP)

    ★ 4.7 (30) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Data Analysis with NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Data Import/Export, NumPy, Time Series Analysis and Forecasting, Business Reporting, Data Wrangling, Jupyter, Data Visualization, Microsoft Excel, Plot (Graphics), Data Transformation, Data Analysis, Data Cleansing, Data Preprocessing, Analytics, Data Processing, Python Programming, Data Analysis Software

    ★ 4.7 (15) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    Data Visualization with Python

    Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Interactive Data Visualization, Plot (Graphics), Plotly, Matplotlib, Data Presentation, Dashboard, Dashboard Creation, Seaborn, Tableau Software, Scatter Plots, Histogram, Google Sheets, Microsoft Excel, Data Analysis, Python Programming, Cloud Applications, Business Communication

    ★ 4.2 (26) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered

What brings you to Coursera today?

  • C

    Coursera

    Use Python for Non-Data Role

    Skills you'll gain: Jupyter, Timelines, Microsoft Excel, Spreadsheet Software, Project Schedules, Data Import/Export, Python Programming, Email Automation, Data Literacy, Data Structures, Data Analysis, Data Manipulation

    Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • P

    Politecnico di Milano

    Modelling and measuring the Energy Transition

    Skills you'll gain: Product Lifecycle Management, Climate Change Mitigation, Energy and Utilities, Environmental Science, Sustainable Development, Mathematical Modeling, Sustainable Engineering, Sustainable Systems, Analysis, Microsoft Excel, Process Analysis, Data Literacy, Scenario Testing, Model Optimization, Open Source Technology

    ★ 4.4 (27) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • P

    Packt

    Advanced Data Analysis and Visualization with Pandas

    Skills you'll gain: Matplotlib, Plot (Graphics), Pandas (Python Package), Data Import/Export, Data Visualization Software, Microsoft Excel, Spreadsheet Software, Data Presentation, Time Series Analysis and Forecasting, Data Analysis, Data Manipulation, File I/O

    ★ 4.8 (17) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Modern Data Analytics with Python, Excel & Generative AI

    Skills you'll gain: Business Intelligence, Excel Macros, Pandas (Python Package), Prompt Engineering, Forecasting, Data Storytelling, Time Series Analysis and Forecasting, Regression Analysis, Data Quality, Responsible AI, ChatGPT, Microsoft Excel, Data Analysis, Report Writing, Interactive Data Visualization, Data Modeling, Generative AI, Data Visualization, Exploratory Data Analysis, Statistical Analysis

    ★ 4.4 (477) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau

    Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Pivot Tables And Charts, Microsoft Excel, R Programming, Alteryx, R (Software), Dashboard, Statistical Programming, Data Transformation, Tableau Software, Data Cleansing, Data Visualization Software, Spreadsheet Software, Debugging, Data Visualization, Automation, Python Programming, Data Structures, Statistical Analysis

    ★ 4.6 (29) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Simulate with Monte Carlo

    Skills you'll gain: Simulations, Risk Modeling, Risk Analysis, Simulation and Simulation Software, Risk Management, Financial Forecasting, Return On Investment, Data Analysis, Financial Modeling, Analysis, Microsoft Excel, Data-Driven Decision-Making, Probability Distribution, Business Modeling

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
123

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

  • IBM Data Analyst: IBM
  • Financial Analyst: AI, Excel, and Power BI Skills: Coursera
  • Data Analysis with Pandas and Python: Packt
  • Foundations of Data Analysis with Pandas and Python: Packt
  • Data Analysis with NumPy and Pandas: EDUCBA
  • Data Visualization with Python: Duke University
  • Use Python for Non-Data Role: Coursera
  • Modelling and measuring the Energy Transition: Politecnico di Milano
  • Advanced Data Analysis and Visualization with Pandas: Packt
  • Modern Data Analytics with Python, Excel & Generative AI: Coursera

Skills you can learn in Data Analysis

Analytics (85)
Big Data (64)
Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

Frequently Asked Questions about Python

Python is a versatile programming language known for its readability and simplicity. It is widely used in various fields, including web development, data analysis, artificial intelligence, and scientific computing. Its importance lies in its ability to empower individuals and organizations to automate tasks, analyze data, and create applications efficiently. As technology continues to evolve, Python remains a crucial skill for anyone looking to thrive in the digital landscape.‎

With Python skills, you can pursue various job roles, including software developer, data analyst, data scientist, machine learning engineer, and web developer. These positions are in high demand across industries, as companies seek professionals who can leverage Python for data-driven decision-making and automation. Additionally, roles in cybersecurity and artificial intelligence are increasingly looking for candidates with Python expertise.‎

To learn Python effectively, you should focus on several key skills. Start with the basics of programming, including syntax, data types, and control structures. Understanding libraries and frameworks, such as Pandas for data manipulation and Flask for web development, is also essential. Additionally, familiarity with version control systems like Git and knowledge of databases can enhance your Python proficiency.‎

There are many excellent online Python courses available. For beginners, the BiteSize Python for Absolute Beginners Specialization offers a gentle introduction. For those looking to advance their skills, the AI and Machine Learning Essentials with Python Specialization provides a solid foundation in applying Python to AI. Additionally, the Data Analysis with Python Specialization is great for those interested in data science.‎

Yes. You can start learning python on Coursera for free in two ways:

  1. Preview the first module of many python courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in python, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn Python, begin by choosing a structured course or specialization that matches your skill level. Dedicate time to practice coding regularly, as hands-on experience is crucial. Utilize online resources, such as forums and coding communities, to seek help and collaborate with others. Finally, work on personal projects to apply what you've learned and reinforce your skills.‎

Typical topics covered in Python courses include basic syntax, data structures (like lists and dictionaries), control flow (if statements, loops), functions, and modules. Advanced courses may explore object-oriented programming, web development frameworks, data analysis libraries, and machine learning techniques. This comprehensive curriculum ensures you gain a well-rounded understanding of Python.‎

For training and upskilling employees, the Google IT Automation with Python Professional Certificate is an excellent choice, as it focuses on practical skills for IT professionals. Additionally, the Microsoft Python Development Professional Certificate provides a robust foundation for those looking to enhance their programming capabilities in a corporate environment.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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