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Learn Data Exploration, earn certificates with free online courses from University of Michigan, UC San Diego, Duke, University of Illinois and other top universities around the world. Read reviews to decide if a class is right for you.
Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.
Learn Data Science using R from scratch. Build your career as a Data Scientist. Explore knitr, buzz dataset, adv methods
Learn advanced data visualization techniques in Qlik Sense, including data ingestion, exploration, chart creation, and dashboard customization. Master filters, expressions, and personalization for effective decision-making.
Perform Data Wrangling with the Python Programming Language. Practice and Solution Notebooks included.
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.
Leverage SAS Cloud Analytics Services for high-performance, distributed computing. Learn CASL to access, explore, prepare, analyze, and summarize data in a massively parallel processing environment.
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will create a series of visualizations from the Airports and Flights datasets and save them to a dashboard in Looker.
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will load data from a Google Cloud Storage Bucket to Neo4j then explore the data using the Neo4J browser and Cypher query language
Master Tableau for data science: create impactful visualizations, interactive dashboards, and leverage advanced analytics. Learn data storytelling techniques and integrate with various data sources for comprehensive insights.
Apply data science skills to real-world problems using MATLAB. Explore, process, analyze, and model data through a hands-on project. Develop expertise in feature engineering, machine learning, and result communication.
Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
Learn to create modeled queries in Looker, enhancing data exploration for business users. Practice using query parameters to build insightful starting points in the Quick Start section of Explores.
Explore Elasticsearch's architecture, queries, and advanced techniques to master efficient search solutions and tackle complex data challenges.
Leverage your Python and SQL knowledge to create an ETL pipeline to ingest, transform, and load data into a database.
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