Executive Development Programme in Sheets for Data-Driven Innovation

Name: Executive Development Programme in Sheets for Data-Driven Innovation
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The Executive Development Programme in Sheets for Data-Driven Innovation is a certificate course that empowers learners with essential skills for data-driven decision-making and innovation. This programme is designed to meet the growing industry demand for professionals who can leverage data analytics to drive business growth and success.

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AboutThisCourse

In this course, learners will gain advanced Excel skills, master Google Sheets, and learn to use data visualization tools like Data Studio. They will also learn how to use data to identify trends, make informed decisions, and drive innovation. These skills are critical for career advancement in today's data-driven economy. By the end of the course, learners will be able to use data to tell compelling stories, drive business results, and gain a competitive edge in their careers. This programme is ideal for professionals in fields such as marketing, finance, operations, and management who want to enhance their data analytics skills and drive innovation in their organizations.

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CourseDetails

• Data Literacy for Executives
• Sheets for Data Analysis
• Data Visualization with Sheets
• Data-Driven Decision Making
• Innovation Management & Strategy
• Leveraging Data for Competitive Advantage
• Change Management & Adoption
• Data Security & Privacy in Sheets
• Real-world Projects & Case Studies

CareerPath

The Executive Development Programme for Data-Driven Innovation is a comprehensive course designed for professionals seeking to expand their expertise and knowledge in the ever-evolving data landscape. The following sections provide a 3D visual representation of key roles in the data field, accompanied by their respective market demand. Data Scientist: Demand for data scientists has surged due to the increasing need for professionals who can extract valuable insights from complex data sets. These experts typically possess skills in statistics, predictive modeling, machine learning, and data visualization. Data Analyst: Data analysts are essential in organizations that rely on data to make informed decisions. These professionals collect, process, and interpret data, which assists decision-makers in understanding trends and patterns. Data Engineer: Data engineers build and maintain data systems, allowing organizations to effectively collect, store, and access data. This role requires proficiency in programming, data warehousing, and infrastructure management. Business Intelligence: Business intelligence professionals specialize in transforming data into actionable insights to help organizations improve performance and decision-making. This role typically requires skills in data analysis, data visualization, and strategic planning. Machine Learning Engineer: Machine learning engineers develop and implement algorithms that enable machines to learn and improve from data. This role requires a solid understanding of programming, machine learning, and data architecture. AI Specialist: AI specialists are responsible for designing, developing, and implementing artificial intelligence systems to automate tasks and optimize business operations. This role typically requires proficiency in machine learning, deep learning, and natural language processing.

EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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TwoThreeHoursPerWeek
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EXECUTIVE DEVELOPMENT PROGRAMME IN SHEETS FOR DATA-DRIVEN INNOVATION

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London School of International Business (LSIB)

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05 May 2025

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