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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


  • F

    Fractal Analytics

    Python for Data Science

    Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Plot (Graphics), Data Preprocessing, Statistical Methods, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Processing, Data Cleansing, Data Analysis, Pandas (Python Package), Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing

    ★ 4.1 (139) · Beginner · Course · 1 - 3 Months

  • I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Python Programming, NumPy, Data Analysis

    ★ 4.6 (44K) · Beginner · Course · 1 - 3 Months

  • I

    IBM

    IBM Data Science

    Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Data Wrangling, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, SQL, Plot (Graphics), Unsupervised Learning, Interactive Data Visualization, Data Cleansing, Jupyter, Data Literacy, Generative AI, Professional Networking, Python Programming

    ★ 4.6 (150K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Job Skills
    Job Skills
  • I

    IBM

    Data Analysis with Python

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Predictive Modeling, Data Cleansing, Data Preprocessing, Model Evaluation, Data Processing, Data Science, Predictive Analytics, Model Training, Analytics, Model Optimization, Pandas (Python Package), Statistical Modeling, Data Visualization, Python Programming

    ★ 4.7 (20K) · Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Processing, Data Cleansing, Data Wrangling, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Data-Driven Decision-Making, Pivot Tables And Charts, Data Analysis, Statistical Methods, Python Programming, Data Import/Export, Scripting Languages, Probability & Statistics, Programming Principles, Text Mining

    ★ 4.5 (27K) · Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), Plot (Graphics), NumPy, Data Cleansing, Data Structures, Scientific Visualization, Data Visualization Software, Predictive Analytics, Data Visualization, Statistical Visualization, Debugging, Data Presentation, Data Manipulation, Code Reusability, Object Oriented Programming (OOP), Python Programming, Simulations, Predictive Modeling, Data Analysis

    ★ 4 (101) · Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • U

    University of Michigan

    Applied Data Science with Python

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Applied Machine Learning, Supervised Learning, Infographics, Text Mining, Network Model, Data Manipulation, NumPy, Data Preprocessing, Natural Language Processing, Python Programming

    ★ 4.5 (34K) · Intermediate · Specialization · 3 - 6 Months

  • G

    Google

    Google Data Analysis with Python

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Code Reusability, Data Preprocessing, Data Wrangling, Package and Software Management, Data Analysis, Data Processing, Data Integration, JSON, Object Oriented Programming (OOP), Data Science, Data Structures, Python Programming, Exploratory Data Analysis, Computer Programming, Programming Principles, Data Storage, Computational Logic

    ★ 4.8 (145) · Beginner · Specialization · 3 - 6 Months

    Category: Bestseller
    Bestseller
  • U

    University of Colorado Boulder

    Expressway to Data Science: Python Programming

    Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Code Reusability, Data Visualization, Statistical Visualization, Programming Principles, Computer Science, Computer Programming, Data Wrangling, Data Manipulation, Data Processing, Data Science, Package and Software Management, Python Programming, Computational Logic, Data Structures

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

  • D

    DeepLearning.AI

    Python for Data Analytics

    Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Statistical Programming, Analytics, Statistical Methods, Exploratory Data Analysis, Descriptive Statistics, Statistical Modeling, Data Manipulation, Predictive Modeling, Programming Principles, Jupyter, Python Programming, Regression Analysis

    ★ 4.6 (25) · Beginner · Course · 1 - 3 Months

  • I

    IBM

    Python Project for Data Science

    Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Data Analysis, Data Presentation, Plot (Graphics), Data Visualization Software, Graphing, Pandas (Python Package), Data Capture, Data Science, Data Wrangling, Jupyter, Data Manipulation, Python Programming, Data Collection

    ★ 4.5 (4.9K) · Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    The Complete Python and Data Science Bootcamp

    Skills you'll gain: Plotly, PyTorch (Machine Learning Library), NumPy, Matplotlib, Object Oriented Programming (OOP), Pandas (Python Package), Plot (Graphics), Data Structures, Unit Testing, Object Oriented Design, Python Programming, File I/O, Data Visualization Software, Algorithms, Interactive Data Visualization, Machine Learning Methods, Computational Thinking, Programming Principles, Computer Programming, Program Development

    Intermediate · Specialization · 3 - 6 Months

1234…834

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

  • Python for Data Science: Fractal Analytics
  • Python for Data Science, AI & Development: IBM
  • IBM Data Science: IBM
  • Data Analysis with Python: IBM
  • Introduction to Data Science in Python: University of Michigan
  • Programming for Python Data Science: Principles to Practice: Duke University
  • Applied Data Science with Python: University of Michigan
  • Google Data Analysis with Python: Google
  • Expressway to Data Science: Python Programming: University of Colorado Boulder
  • Python for Data Analytics: DeepLearning.AI

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 Data Science

Python data science is the application of Python programming to analyze and interpret complex data. It combines statistical analysis, data visualization, and machine learning to extract insights from data. This field is crucial as organizations increasingly rely on data-driven decision-making. By leveraging Python's extensive libraries and frameworks, data scientists can efficiently manipulate data, perform analyses, and present findings in a clear manner, making it an essential skill in today's data-centric world.‎

A variety of job opportunities exist in the realm of Python data science. Common roles include Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst. These positions often require a blend of programming skills, statistical knowledge, and the ability to communicate insights effectively. As businesses continue to prioritize data-driven strategies, the demand for professionals skilled in Python data science is expected to grow, offering a promising career path.‎

To succeed in Python data science, you'll need a mix of technical and analytical skills. Key competencies include proficiency in Python programming, understanding of data manipulation libraries like Pandas and NumPy, and familiarity with data visualization tools such as Matplotlib and Seaborn. Additionally, knowledge of statistical concepts, machine learning algorithms, and database management with SQL will enhance your capabilities in this field. Continuous learning and practice are essential to stay updated with evolving technologies.‎

Yes. You can start learning Python data science on Coursera for free in two ways:

  1. Preview the first module of many Python data science 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 data science, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn Python data science, start by familiarizing yourself with Python programming basics. Online courses, tutorials, and coding exercises can help you build a solid foundation. Once comfortable with Python, explore data manipulation and analysis libraries like Pandas and NumPy. Engage in hands-on projects to apply your skills, and consider joining online communities for support and networking. Consistent practice and real-world applications will reinforce your learning and boost your confidence.‎

Typical topics covered in Python data science courses include data cleaning and preprocessing, exploratory data analysis, statistical analysis, data visualization, and machine learning fundamentals. Courses may also introduce specific libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn. By covering these areas, learners gain a comprehensive understanding of how to work with data effectively and derive meaningful insights.‎

For training and upskilling employees in Python data science, courses like the Python, SQL, Tableau for Data Science Professional Certificate and the Data Science and Analysis Tools - from Jupyter to R Markdown Specialization are excellent choices. These programs are designed to equip teams with practical skills and knowledge, fostering a data-driven culture within organizations.‎

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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