What are typical careers that use Python for data science?

Typical data science careers that use Python are data analysts, software engineers, developers, and network engineers. However, you don’t have to be a coder or developer to benefit from learning Python. Understanding Python can be beneficial to a variety of individuals who work with data, including mathematicians, researchers, accountants, marketers, and product managers.

How can taking online courses help me learn Python for data science?

Through online courses, you can learn the fundamentals of Python and its applications in the field of data science. Some courses show you how to write code in Python, and others explore how to use the language Python to mine data faster and create data visualizations. Lessons may cover topics like Python Extension Libraries, data manipulation in Python, and model development.

Top Python For Data Science Courses - Learn Python For Data Science Online

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Python For Data Science

Python for Data Science Courses

Python for Data Science courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with data sets, performing exploratory data analysis, and developing predictive models. Many courses introduce tools like Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for machine learning, allowing you to apply your skills in practical projects and real-world data challenges.

Popular Python for Data Science Courses and Certifications

Status: Free Trial
IBM
Python for Data Science, AI & Development
Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, File I/O, Python Programming, Jupyter, Data Structures, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Application Programming Interface (API), Automation, Data Analysis
4.6
Rating, 4.6 out of 5 stars
43K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
IBM
Data Analysis with Python
Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Data Preprocessing, Regression Analysis, Data Science, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Data Visualization, NumPy, Python Programming
4.7
Rating, 4.7 out of 5 stars
20K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Fractal Analytics
Python for Data Science
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Data Preprocessing, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Cleansing, Data Analysis, Pandas (Python Package), Statistics, Business Analytics, Jupyter, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
4.1
Rating, 4.1 out of 5 stars
98 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Science
Skills you'll gain: Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Visualization, Model Evaluation, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Peer Review, Data Transformation, Supervised Learning, Jupyter, Data Analysis, Data Cleansing, Data Manipulation, Data Literacy, Generative AI, Professional Networking, Data Import/Export
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
149K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google
Get Started with Python
Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Scripting, Data Manipulation, Data Visualization, Algorithms, Debugging
4.8
Rating, 4.8 out of 5 stars
1.8K reviews
Advanced · Course · 1 - 3 Months
Status: New
Status: Free Trial
Google
Google Data Analysis with Python
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Data Preprocessing, Package and Software Management, Data Analysis, Data Transformation, Data Integration, JSON, Object Oriented Programming (OOP), Data Wrangling, Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Data Validation, Computational Logic, Data Structures
4.9
Rating, 4.9 out of 5 stars
74 reviews
Beginner · Specialization · 3 - 6 Months

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Status: Free Trial
IBM
Python Project for Data Science
Skills you'll gain: Dashboard, Pandas (Python Package), Data Presentation, Web Scraping, Jupyter, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection
4.5
Rating, 4.5 out of 5 stars
4.8K reviews
Intermediate · Course · 1 - 4 Weeks
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Status: Free Trial
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Data Visualization Software, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
74K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Michigan
Python for Everybody
Skills you'll gain: Database Design, Data Processing, Web Scraping, Data Visualization, Relational Databases, Restful API, Web Services, SQL, Databases, Data Visualization Software, JSON, Interactive Data Visualization, Extensible Markup Language (XML), Data Structures, Programming Principles, Data Cleansing, Network Protocols, Data Analysis, Python Programming, Computer Programming
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
279K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
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), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Data Manipulation, NumPy, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming
4.5
Rating, 4.5 out of 5 stars
34K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
Google
Crash Course on Python
Skills you'll gain: Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Problem Management, Data Structures, Integrated Development Environments, Debugging, Development Environment
4.8
Rating, 4.8 out of 5 stars
40K reviews
Beginner · Course · 1 - 3 Months

Status: Free Trial
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Cleansing, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Programming Principles
4.5
Rating, 4.5 out of 5 stars
27K reviews
Intermediate · Course · 1 - 4 Weeks

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

Python for Data Science, AI & Development: IBM
Data Analysis with Python: IBM
Python for Data Science: Fractal Analytics
IBM Data Science: IBM
Get Started with Python: Google
Google Data Analysis with Python: Google
Python Project for Data Science: IBM
Data Science Fundamentals with Python and SQL: IBM
Python for Everybody: University of Michigan
Applied Data Science with Python: University of Michigan

Frequently Asked Questions about Python For Data Science

Python is an open-source programming language used in data science that's noted for its beginner-friendly language and versatility. This popular coding language integrates well with multiple software components and works across multiple platforms, such as Windows, Mac, and Linux. It also has an impressive community of support and libraries available for programmers. The programming language has a strong following, with 8.2 million developers around the world, according to ZDNet.‎

Learning Python for data science can be beneficial because it’s used in many data science applications. The program is popular because it tends to be easy to learn, and the simplicity of the language makes it possible to write code faster and with fewer lines than you need to use in other coding languages. When you learn Python, you may develop a deeper understanding of the methodologies used to collect and analyze data, which can lead to additional interests and career opportunities.‎

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.