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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

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Analyst

    Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, SQL, Data Transformation, Data Analysis, Big Data, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Analysis with Pandas and Python

    Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Pivot Tables And Charts, Jupyter, Data Visualization Software, Microsoft Excel, Data Analysis, Text Mining, Data Manipulation, Data Cleansing, NumPy, Data Analysis Software, Data Integration, Data Wrangling, Time Series Analysis and Forecasting, Data Transformation, Python Programming, Data Structures, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    41 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    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, Jupyter, Data Wrangling, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, Data Cleansing, Analytics, Data Processing, Management Reporting, Business Analytics, Python Programming, Numerical Analysis

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Use Python for Non-Data Role

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

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Regression Analysis - Fundamentals & Practical Applications

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Supervised Learning, Exploratory Data Analysis, Pandas (Python Package), Matplotlib

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Introduction to Accounting Data Analytics and Visualization

    Skills you'll gain: Data Visualization, Tableau Software, Data Visualization Software, Excel Macros, Analytics, Analytical Skills, Pivot Tables And Charts, Accounting Systems, Business Analytics, Microsoft Excel, Spreadsheet Software, Data-Driven Decision-Making, Data Manipulation, Data Analysis, Descriptive Statistics, Regression Analysis, Predictive Analytics, Data Architecture

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    447 reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Data Analysis and Visualization with Pandas

    Skills you'll gain: Matplotlib, Pandas (Python Package), Data Import/Export, Data Visualization Software, Microsoft Excel, NumPy, Time Series Analysis and Forecasting, Jupyter, Data Analysis, Data Manipulation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Pandas with Python: Analyze, Transform & Export Data

    Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Time Series Analysis and Forecasting, Data Import/Export, Jupyter, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, NumPy, Data Cleansing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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, Dashboard, Statistical Programming, Data Transformation, Tableau Software, Data Cleansing, Data Visualization Software, Interactive Data Visualization, Business Reporting, Debugging, Data Visualization, Automation, Python Programming, Data Structures, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    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, ChatGPT, Microsoft Excel, Generative AI, Data Analysis, Report Writing, Interactive Data Visualization, Data Modeling, Exploratory Data Analysis, Data Visualization, Statistical Analysis, Automation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    382 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    AI-Enhanced Data Analysis: From Raw Data to Deep Insights

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    355 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Analytics with Excel and R

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Dashboard, Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Microsoft Excel, IBM Cognos Analytics, Ggplot2, Data Analysis, Analytical Skills, Excel Formulas, Data Manipulation, Web Scraping

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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12

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

  • IBM Data Analyst: IBM
  • Data Analysis with Pandas and Python: Packt
  • Data Analysis with NumPy and Pandas: EDUCBA
  • Use Python for Non-Data Role: Coursera
  • Regression Analysis - Fundamentals & Practical Applications: Corporate Finance Institute
  • Introduction to Accounting Data Analytics and Visualization: University of Illinois Urbana-Champaign
  • Advanced Data Analysis and Visualization with Pandas: Packt
  • Pandas with Python: Analyze, Transform & Export Data: EDUCBA
  • Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau: 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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