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
Status: NewSkills you'll gain: Network Engineering, Network Troubleshooting
Status: Free TrialUniversity of Michigan
Skills you'll gain: Data Quality, Data Cleansing, Quantitative Research, Data Validation, Data Collection, Data Processing, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics)
Status: NewStatus: Free TrialSkills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Python Programming, Programming Principles, Debugging, Software Design Patterns, Functional Design, Computational Thinking, Algorithms, Data Structures
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Python Programming
Skills you'll gain: Program Development, Python Programming, Jupyter, Algorithms, Engineering Calculations, Computer Programming, Mathematical Modeling, Linear Algebra, Applied Mathematics
Status: PreviewSkills you'll gain: Generative AI, ChatGPT, Automation
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Visualization, Correlation Analysis, Data Visualization, Statistical Software, Statistical Analysis, Analytics, R (Software), Data Analysis, Engineering Management, Descriptive Statistics, Probability & Statistics, Variance Analysis, Regression Analysis, Statistical Inference
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Data Storytelling, Revenue Recognition, Data Presentation, Data Visualization, Accrual Accounting, Infographics, Cash Flows, Accounting, Data Collection, Data Quality, Business Analytics, Financial Statements, Financial Accounting, Business Analysis, Big Data, Analytics, Asset Management, Data Analysis, Intellectual Property, Network Model
Status: Free TrialUniversidad Nacional Autónoma de México
Skills you'll gain: Data Mining, Database Design, Scalability, Database Systems, Unstructured Data, Relational Databases, Transaction Processing, Databases, Systems Design, Big Data, Data Architecture, NoSQL, Data Processing, Maintainability, Software Design, SQL, Apache Hadoop
Status: PreviewPontificia Universidad Católica de Chile
Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Program Development, Computational Thinking, Python Programming, Analysis
Status: Free TrialWhizlabs
Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning
Status: Free TrialLearnQuest
Skills you'll gain: Data Analysis, Analytics, Statistical Analysis, Data Mining, Spreadsheet Software, Exploratory Data Analysis, Descriptive Analytics, Quantitative Research, Data Processing, Data Cleansing, Data Collection, Statistics, R (Software), Predictive Analytics, Query Languages, Data Visualization, Data Visualization Software, SQL
Searches related to python data science
In summary, here are 10 of our most popular python data science courses
- Hands-on Python for Networking Professionals: Packt
- Measuring Total Data Quality: University of Michigan
- Mastering Python Programming: Apply, Analyze, and Build: EDUCBA
- Mastering Data Analysis with Pandas: Coursera
- Aprendiendo Python con textos, números y ecuaciones: Coursera
- Gen AI for Code Generation for Python: Edureka
- Data Driven Decision Making: University of Colorado Boulder
- Business Data Management and Communication: University of Illinois Urbana-Champaign
- Designing data-intensive applications: Universidad Nacional Autónoma de México
- Programación en Python II: aprendiendo a estructurar datos: Pontificia Universidad Católica de Chile
