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: Free TrialUniversity of California San Diego
Skills you'll gain: Big Data, Cybersecurity, Pedagogy, Data Security, Cryptography, Information Privacy, Encryption, Responsible AI, AI Personalization, Computer Science, Information Technology, Web Applications, Web Servers, Machine Learning, Supervised Learning
Skills you'll gain: Reconciliation, Dataflow, Google Cloud Platform, Big Data, Financial Data, Data Pipelines, Data Integration, Event Monitoring
Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, JSON, Java, Docker (Software), Software Versioning
University of Illinois at Urbana-Champaign
Skills you'll gain: Google Gemini, Marketing Strategies, Customer Analysis, Big Data, Forecasting, Customer Insights, Predictive Analytics, Analytics, Target Audience, Data Analysis, Marketing Analytics, Artificial Intelligence, Google Cloud Platform, Generative AI
Status: PreviewSkills you'll gain: Operational Databases, NoSQL, Real Time Data, Scalability, Database Design, Application Deployment, Data Infrastructure, Big Data, Data Manipulation, Performance Tuning, Data Modeling, Distributed Computing, Data Storage Technologies
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
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: Data Visualization Software, Data Wrangling, Data Manipulation, Google Cloud Platform, Data Import/Export, Data Transformation, Data Cleansing, Data Analysis, Sampling (Statistics), Course Development
Status: NewStatus: Free TrialSkills you'll gain: Data Transformation, Customer Analysis, Data Analysis, Customer Data Management, MongoDB, Data Processing, Data Validation, Financial Data, Data Import/Export, Data Pipelines, Data Integration, Development Environment
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: 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
- Teaching Impacts of Technology: Data Collection, Use, and Privacy: University of California San Diego
- Reconciling Account Data with Cloud Spanner Change Streams: Google Cloud
- Kafka for Developers - Data Contracts Using Schema Registry: Packt
- Master of Computer Science (feat. Data Science Track): University of Illinois at Urbana-Champaign
- Gemini for Data Scientists and Analysts-Português Brasileiro: Google Cloud
- Real-Time Big Data Access using HBase: Boosting Performance: LearnQuest
- Building Generative AI Apps to Talk to Your Data: Snowflake
- Migrating an application and data from Apache Cassandra™ to DataStax Enterprise: Google Cloud
- Preparing and Aggregating Data for Visualizations using Cloud Dataprep: Google Cloud
- PyMongo Case Study - Aggregating Customer Data of a Bank: EDUCBA
