Data Analysis Courses for Beginners
Beginner data analysis courses can help you learn data collection techniques, basic statistical concepts, data visualization, and interpretation of results. You can build skills in using spreadsheets for data manipulation, creating charts for visual representation, and applying descriptive statistics to summarize findings. Many courses introduce tools like Excel, Google Sheets, and data visualization software such as Tableau, showing you how to effectively analyze and present data to support decision-making.
Popular Beginner Data Analysis Courses and Certifications
University of Colorado Boulder
Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis
Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, Apache Spark, Apache Hadoop, Scala Programming, Spring Boot, Development Environment, Apache, JSON, Data Processing, Information Architecture, Live Streaming, Data Transformation, Java, Restful API, Performance Tuning, Software Architecture, Data Validation, System Configuration
University of Michigan
Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking
Skills you'll gain: Oracle Cloud, Oracle Databases, Data Migration, Data Lakes, Database Architecture and Administration, NoSQL, MySQL, Data Security, Analytics, Machine Learning Methods, Scalability
LearnKartS
Skills you'll gain: Amazon S3, Amazon Web Services, SQL, Extract, Transform, Load, Data Quality, Data Pipelines, Version Control, Data Modeling, Cloud Storage, Git (Version Control System), Data Management, Data Storage Technologies, Cloud Security, Data Security, Big Data, Encryption
Skills you'll gain: Interoperability, Data Transformation, Secure Coding, Python Programming
Skills you'll gain: Scientific Visualization, Data Storytelling, Heat Maps, Data Mapping
University of Colorado Boulder
Skills you'll gain: Performance Testing, Scalability, Data Architecture, Software Architecture, Distributed Computing, Predictive Modeling, Performance Tuning, Microservices, Big Data, Software Engineering, Database Systems, Data Store, Model Evaluation
University of California San Diego
Skills you'll gain: Unit Testing, Growth Mindedness, Data Structures, Graph Theory, Event-Driven Programming, Social Network Analysis, Interactive Data Visualization, Java, Java Programming, Network Analysis, Object Oriented Programming (OOP), Technical Communication, User Interface (UI), JUnit, Object Oriented Design, Computer Programming, Adaptability, Performance Tuning, Algorithms, Problem Solving
Logical Operations
Skills you'll gain: Seaborn, Matplotlib, Data Transformation, Plot (Graphics), Pandas (Python Package), Data Manipulation, Data Visualization Software, NumPy, Data Visualization, Data Analysis, Scatter Plots, Data Science, Jupyter, Graphing, Data Processing, Box Plots, Python Programming, Computer Programming, Computer Programming Tools, Software Development
Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives
Skills you'll gain: Information Privacy, Data Governance, Law, Regulation, and Compliance, Personally Identifiable Information, General Data Protection Regulation (GDPR), Data Security, Data Management, Data Architecture, Data Strategy, Data Ethics, Metadata Management, Encryption
In summary, here are 10 of our most popular data analysis courses
- Algebra and Differential Calculus for Data Science: University of Colorado Boulder
- Apache Avro & Kafka Data Engineering Projects: EDUCBA
- NumPy and Pandas Basics for Future Data Scientists: University of Michigan
- Oracle Data Platform Foundations Associate: Oracle
- Data Engineering Foundations on AWS: LearnKartS
- Data Representation and Serialization: Packt
- Data Visualization and Storytelling with Python: Packt
- Software Architecture Patterns for Big Data: University of Colorado Boulder
- Object Oriented Java Programming: Data Structures and Beyond: University of California San Diego
- Python Data Science: pandas, Matplotlib, and Seaborn: Logical Operations
