Exploratory Data Analysis Courses
Exploratory Data Analysis courses can help you learn data visualization techniques, statistical summaries, and data cleaning methods. You can build skills in identifying patterns, detecting anomalies, and interpreting results to inform decision-making. Many courses introduce tools like Python, R, and Tableau, which facilitate the analysis and presentation of data insights, allowing you to effectively communicate findings and support data-driven strategies.
Popular Exploratory Data Analysis Courses and Certifications
Status: PreviewSkills you'll gain: Azure Synapse Analytics, Data Security, Databricks, Data Store, Data Quality, Microsoft Azure, Data Storage Technologies, Data Storage, Data Transformation, Database Management, Data Processing, Data Cleansing, Query Languages, Performance Tuning, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark, Data Analysis
Status: NewSkills you'll gain: ASP.NET, Cloud Deployment, Application Deployment, Microsoft Azure, Multi-Tenant Cloud Environments, Cloud Applications, Full-Stack Web Development, User Interface (UI) Design, PostgreSQL, Web Applications, User Interface (UI), Object-Relational Mapping, Database Development, Cloud Services, Database Management, Development Environment, Authentications
University of Illinois at Urbana-Champaign
Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, JSON, Java, Docker (Software), Software Versioning
Skills you'll gain: Reconciliation, Dataflow, Google Cloud Platform, Big Data, Financial Data, Data Pipelines, Data Integration, Event Monitoring
Status: Free TrialSkills you'll gain: Retrieval-Augmented Generation, Generative AI, LLM Application, Snowflake Schema, Prompt Engineering, Embeddings, Natural Language Processing, Unstructured Data, Data Pipelines, User Interface (UI), Semantic Web, Data Processing, SQL
Status: Free TrialSkills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning
Skills you'll gain: Database Management, Data Migration, Apache Cassandra, Docker (Software), Databases, Operational Databases, Database Application, Application Deployment, Data Import/Export
Skills you'll gain: Graph Theory, C++ (Programming Language), Network Routing, Data Structures, Object Oriented Programming (OOP), File I/O, Computational Thinking, Algorithms
Skills you'll gain: Data Visualization Software, Data Wrangling, Data Manipulation, Google Cloud Platform, Data Import/Export, Data Transformation, Data Cleansing, Data Analysis, Sampling (Statistics), Course Development
Status: PreviewUniversity of Copenhagen
Skills you'll gain: Data Literacy, digital literacy, Personally Identifiable Information, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Journalism, Data Sharing, Big Data, Information Privacy, Data-Driven Decision-Making, Data Security, Law, Regulation, and Compliance, Data Collection, Algorithms
Skills you'll gain: Google Gemini, Google Cloud Platform, Generative AI, Marketing Analytics, Customer Insights, Analytics, Business Intelligence, AI Enablement, Predictive Analytics, Query Languages
In summary, here are 10 of our most popular exploratory data analysis courses
- Prep for Microsoft Azure Data Engineer Associate Cert DP-203: SkillUp
- End-to-End ASP.NET Core - PostgreSQL Data Stores & Azure Services: Packt
- Master of Computer Science (feat. Data Science Track): University of Illinois at Urbana-Champaign
- Kafka for Developers - Data Contracts Using Schema Registry: Packt
- Reconciling Account Data with Cloud Spanner Change Streams: Google Cloud
- Building Generative AI Apps to Talk to Your Data: Snowflake
- Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs: Google Cloud
- Migrating an application and data from Apache Cassandra™ to DataStax Enterprise: Google Cloud
- Process Map Data using C++ Adjacency List Shortest Path: Coursera
- Preparing and Aggregating Data for Visualizations using Cloud Dataprep: Google Cloud
