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: Dashboard, Azure Synapse Analytics, Microsoft Azure, Data Storage Technologies, Microsoft SQL Servers, Data Storage, Data Presentation, Cloud Engineering, Data Store, Data Architecture, Data Infrastructure, Performance Tuning, Query Languages, Database Design, SQL, NoSQL, Data Processing, Process Optimization, Data Modeling, System Monitoring
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis
Status: Free TrialUniversity of Michigan
Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking
Status: NewStatus: Free TrialUniversity of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Status: NewStatus: Free TrialSkills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
Status: Free TrialJohns Hopkins University
Skills you'll gain: Calculus, Mathematical Software, Data Analysis, Mathematical Theory & Analysis, Derivatives, Graphing, Algebra
Status: Free TrialSkills you'll gain: Responsible AI, Prompt Engineering, Generative AI, AI Product Strategy, OpenAI, Data Pipelines, Data Modeling, ChatGPT, Data Transformation, Data Quality, Database Management, SQL
Status: FreeSkills you'll gain: Web Scraping, Data Visualization, Data Preprocessing, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Extensible Markup Language (XML), Python Programming, Jupyter, GitHub
University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus
Google Cloud
Skills you'll gain: Looker (Software), Dashboard, Data Manipulation, Data Wrangling, Data Visualization Software, Exploratory Data Analysis, Data Management, Google Cloud Platform, Network Analysis
Status: NewStatus: Free TrialSkills you'll gain: Information Privacy, General Data Protection Regulation (GDPR), AI Security, Responsible AI, Personally Identifiable Information, Legal Technology, Data Security, Data Ethics, Large Language Modeling, Business Ethics, Data Governance, Prompt Engineering, Cyber Security Strategy, Legal Risk, Data Loss Prevention, Generative AI, Regulatory Compliance, Cybersecurity, Risk Analysis, Governance
Status: NewStatus: Free TrialSkills you'll gain: PySpark, MySQL, Data Pipelines, Apache Spark, Data Processing, SQL, Data Transformation, Data Manipulation, Distributed Computing, Python Programming, Debugging
Searches related to exploratory data analysis
In summary, here are 10 of our most popular exploratory data analysis courses
- Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera
- Essential Linear Algebra for Data Science: University of Colorado Boulder
- NumPy and Pandas Basics for Future Data Scientists: University of Michigan
- Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
- Data Science Fundamentals Part 2: Unit 2: Pearson
- Calculus through Data & Modeling: Limits & Derivatives: Johns Hopkins University
- GenAI for Data Engineers: Scaling with GenAI: Coursera
- Scrape and analyze data analyst job requirements with Python: Coursera
- Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
- Filtering and Sorting Data in Looker: Google Cloud
