Python for Data Analysis Courses
Python for Data Analysis courses can help you learn data manipulation, statistical analysis, data visualization, and data cleaning techniques. You can build skills in using libraries like Pandas for data handling, NumPy for numerical data processing, and Matplotlib or Seaborn for creating informative graphs. Many courses also cover practical applications such as exploratory data analysis and predictive modeling, allowing you to apply your skills to real datasets and derive actionable insights.
Popular Python for Data Analysis Courses and Certifications
Clemson University
Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning
Skills you'll gain: Credit Risk, Loans, Environmental Social And Corporate Governance (ESG), Bank Regulations, Risk Management, Derivatives, Financial Analysis, Risk Analysis, Financial Statement Analysis, Investment Management, Financial Market, Portfolio Management, Financial Modeling, Compliance Management, Business Valuation, Economics, Business Modeling, Structural Analysis
Scrimba
Skills you'll gain: SQL, Relational Databases, Query Languages, Databases, Stored Procedure, Data Manipulation, Database Management Systems, Data Access, Data Maintenance
Whizlabs
Skills you'll gain: AWS SageMaker, AWS Kinesis, Data Integration, Data Lakes, Business Intelligence, Apache Hive, Apache Spark, Amazon Web Services, Extract, Transform, Load, Big Data, Apache Hadoop, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Serverless Computing
University of California San Diego
Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Technical Communication, Data Structures, Algorithms, Analysis, Computer Science, Research
Johns Hopkins University
Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Manipulation, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Application Programming Interface (API)
Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis
Skills you'll gain: Debugging, Integrated Development Environments, Web Applications, Development Environment, Django (Web Framework), Software Testing, Web Development, Program Development, Software Development Methodologies, Software Architecture, Scripting, Python Programming
Skills you'll gain: Metadata Management, Data Governance, Data Management, Data Modeling, Information Management, Data Integration, Personally Identifiable Information, Data Security, Data Quality, Data Compilation, Data Processing, Data Migration, Data Presentation, Docker (Software), Application Programming Interface (API), Application Lifecycle Management
Skills you'll gain: Data Storytelling, Feature Engineering, Data Ethics, Data Visualization, Exploratory Data Analysis, Tableau Software, Data-Driven Decision-Making, Data Visualization Software, Data Analysis, Analytical Skills, Data Cleansing, Statistical Methods, Data Preprocessing, Data Manipulation
University of Colorado Boulder
Skills you'll gain: Microsoft Excel, Regression Analysis, Data Validation, Excel Formulas, Data Management, Data Visualization, Spreadsheet Software, Statistical Modeling, Data Cleansing, Financial Analysis, Predictive Modeling, Data Analysis Expressions (DAX), Financial Modeling, Analysis, Data Integrity, Mathematical Modeling, Productivity Software, Complex Problem Solving, Financial Forecasting, Problem Solving
In summary, here are 10 of our most popular python for data analysis courses
- Applied Data Science: Clemson University
- Credit Analysis in Action: Economic and Industry Essentials: Starweaver
- Intro to SQL: Scrimba
- AWS: Data Analytics: Whizlabs
- Capstone: Analyzing (Social) Network Data: University of California San Diego
- Importing Data in the Tidyverse: Johns Hopkins University
- Data Science Fundamentals, Part 1: Pearson
- Python Scripting Case Study - To-do List Application: EDUCBA
- Transform, Analyze, and Report Data with R: Coursera
- Metadata Management and Data Catalogs: Edureka
