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
Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Analysis
Skills you'll gain: Data Science, Statistical Inference, Machine Learning Methods, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistical Methods, Statistics, Regression Analysis, Applied Machine Learning, Interactive Data Visualization, Apache Hadoop, Big Data, Machine Learning Algorithms, Data Analysis, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS
Skills you'll gain: Model Evaluation, Sampling (Statistics), NumPy, Pandas (Python Package), Data Literacy, Feature Engineering, Statistical Visualization, Data Analysis, Predictive Modeling, Analytics, Regression Analysis, Predictive Analytics, Statistics, Analysis, Computational Thinking, Data Science, Business Intelligence, Applied Machine Learning, Data Quality, Machine Learning
Skills you'll gain: SQL, Database Management, Relational Databases, Stored Procedure, Databases, Query Languages, Database Theory, Data Access, Jupyter, Data Manipulation, Data Analysis, Transaction Processing, Python Programming
Duke University
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
Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Management, Databases, Unit Testing, Data Transformation, Data Access, Data Capture, Package and Software Management, Application Programming Interface (API), Data Integration, Data Wrangling, Integrated Development Environments, Data Pipelines, Maintainability, Python Programming, Programming Principles, Style Guides
Skills you'll gain: NumPy, Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Statistical Programming, Histogram, Statistical Analysis, Database Application, Database Software, Python Programming
Skills you'll gain: Excel Formulas, Data Cleansing, Pivot Tables And Charts, Spreadsheet Software, Data Wrangling, Microsoft Excel, Data Analysis, Data Quality, Google Sheets, Data Manipulation, Data Integrity, Data Ethics, Data Entry, Data Import/Export, Data Science
Skills you'll gain: Data Validation, Data Cleansing, Data Quality, Data Maintenance, Data Wrangling, Data Manipulation, Data Integrity, Data Visualization, Data Preprocessing, Exploratory Data Analysis, Data Science, Pandas (Python Package), Feature Engineering, Statistical Visualization, Debugging, Data Sharing, Verification And Validation, Anomaly Detection, Python Programming, Machine Learning
Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, grep, Biostatistics, R (Software), Exploratory Data Analysis, Statistical Analysis, Unix Shell, Unix, Data Science, Data Management, Statistical Methods, Information Management, Command-Line Interface, Statistical Hypothesis Testing, Data Structures, Big Data, Molecular Biology, R Programming, Python Programming
John Wiley & Sons
Skills you'll gain: Matplotlib, Plot (Graphics), Relational Databases, SQL, Database Theory, R (Software), Data Visualization, Statistical Programming, Ggplot2, Data Science, Query Languages, Databases, Database Systems, R Programming, Database Design, Statistical Methods, Database Management, Data Analysis, Power BI, Python Programming
Skills you'll gain: Prompt Engineering, Prompt Patterns, Responsible AI, Generative AI, Machine Learning Methods, Generative AI Agents, IBM Cloud, Generative Model Architectures, Prompt Engineering Tools, ChatGPT, Risking, AI Workflows, Application Deployment, AI literacy, Machine Learning Software, Business Workflow Analysis, Workflow Management, Machine Learning, Deep Learning, Data Science
In summary, here are 10 of our most popular python for data science courses
- Python for Data Analysis: Pandas & NumPy: Coursera
- Mastering Python for Data Science: Packt
- Python for Data Analytics & Predictive Modeling: EDUCBA
- Databases and SQL for Data Science with Python: IBM
- Programming for Python Data Science: Principles to Practice: Duke University
- Python Project for Data Engineering: IBM
- Python for Data Science: Real Projects & Analytics: EDUCBA
- Excel Basics for Data Analysis: IBM
- Python Data Science Mistakes to Avoid: Madecraft
- Genomic Data Science: Johns Hopkins University
