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Learn Data Analytics, earn certificates with free online courses from Stanford, MIT, University of Michigan, Duke and other top universities around the world. Read reviews to decide if a class is right for you.
Industry 4.0 concerns the transformation of industrial processes through the integration of modern technologies such as sensors, communication, and computational processing.
Master Excel for data analytics: clean, analyze, and visualize data using functions, pivot tables, and charts. Gain practical skills for data-driven decision-making and career advancement.
Comprehensive training on AWS data analytics tools and services, covering streaming, processing, visualization, and IoT analytics. Prepares for AWS Data Analytics certification.
Comprehensive Qlik Sense training covering basics to advanced topics. Learn data loading, visualization creation, app publishing, variables, dynamic loading, scripting, and more. Ideal for beginners and experienced users.
Explore economic shifts driven by geospatial data and AI language models, unlocking new potentials in sustainability, digital twins, and prompt engineering for innovative outcomes.
Master essential Excel skills: sorting, filtering, and pivoting data for effective analysis and presentation. Transform raw information into meaningful insights.
Learn Google Analytics 4 basics, from setup to custom reports. Master essential digital marketing skills with hands-on guidance for effective website tracking and data analysis.
Explore digital technology's impact on mining, from value chain optimization to workforce transformation. Learn about automation, remote operations, data analytics, and visualization in precision mining.
Develop job-ready skills as you learn how to use data in the insurance industry to gain insights for better business decisions.
Delve into data science and data analysis to drive the performance of your e-commerce platform or organisation.
Learn Python-based data analytics, covering statistics, probability, hypothesis testing, regression, ANOVA, clustering, and decision trees. Gain practical skills for data-driven decision making and statistical analysis.
Learn to extract, analyze, and visualize data using SQL and Power BI. Develop skills in database querying, data manipulation, and creating impactful reports and dashboards for data-driven decision making.
Maximise the data analytics capabilities of your team to solve business problems or achieve business efficiencies.
Explore challenges in monitoring and preventing COVID-19 spread, from ethical concerns to academic research limitations, with Harvard epidemiologist Caroline Buckee.
Learn the basic applications of two common data science and analytics tools: dashboards and data stories.
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