Data Strategy

Data Strategy is a comprehensive plan that defines how an organization collects, stores, manages, shares, and uses data. Coursera's Data Strategy catalogue teaches you how to effectively plan and implement strategic data initiatives within your organization. You'll learn to leverage data to gain insights, make informed business decisions and drive digital transformation. The skills you'll acquire range from the fundamentals of data management to advanced data analysis, governance, privacy, and ethics. You'll also gain proficiency in strategic planning, data-driven decision making and how to create a data culture in an organization.
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Results for "data strategy"

  • Status: Free Trial

    Coursera Instructor Network

    Skills you'll gain: Generative AI, Data Ethics, AI Product Strategy, Data Strategy, Prompt Engineering, Responsible AI, Data Quality, Predictive Modeling

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Business Analytics, Analytics, Data Analysis, Business Intelligence, Analytical Skills, Business Analysis, Advanced Analytics, Data-Driven Decision-Making, Trend Analysis, Predictive Analytics, Data Strategy, Data Warehousing, Data Science

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Responsible AI, Tensorflow, Keras (Neural Network Library), Data Analysis, Google Cloud Platform, Data Pipelines, Applied Machine Learning, Data Quality, Data Cleansing, Machine Learning, Data Science, Data Strategy, Supervised Learning, Performance Tuning, MLOps (Machine Learning Operations), Dataflow, Machine Learning Algorithms, Artificial Neural Networks

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Applied Machine Learning, Data Strategy, Data Quality, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Scikit Learn (Machine Learning Library), Dataflow, Data Processing, Data Pipelines, Artificial Neural Networks