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Journey to Create a Great Analytic Culture

Big Data LDN 2019 | Journey to Create a Great Analytic Culture | Shaan Mistry

What are the key elements needed to create a great analytic culture? This is a key question that many organizations are currently struggling with as they look to be more analytically driven. Join this session as Shaan Mistry uncovers what it takes to build a great analytics culture. Learn about the challenges you may face and the effect a successful culture of analytics has on your data, people and organisation. Shaan will share some best practices on how to develop a great analytic culture including: data driven transformation, analytic maturity, democratization of technology, and uncovering hidden analytic talent.

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What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops the skills to build a resilient analytic culture in an organization

Provides best practices on how to create a strong analytic culture and the impact on data

Peer-reviewed and created by one of 500+ expert instructors of Big Data LDN

Taught by a seasoned expert in analytic culture and data transformation

Part of a series of courses on big data and analytics

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Career center

Learners who complete Journey to Create a Great Analytic Culture will develop knowledge and skills that may be useful to these careers:

Statistician

A Statistician designs, conducts, analyzes, and interprets surveys and experiments. They are involved in the collection, interpretation, and presentation of data. The course will provide knowledge and skills that can help Statisticians to build a solid foundation in analytical methods and tools. It will also help them to develop the necessary skills to effectively communicate their findings to decision-makers.

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Data Scientist

A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course will help Data Scientists build a solid foundation in the theory and practice of data analysis. It will also help them develop the necessary skills to effectively communicate their findings to decision-makers.

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Business Analyst

A Business Analyst helps organizations understand their business needs and develop solutions to improve their operations. This course will provide Business Analysts with the knowledge and skills they need to effectively analyze data, identify trends and patterns, and develop recommendations for improvement.

See salaries and explore the career path for Business Analyst

Data Engineer

A Data Engineer designs, builds, and maintains the infrastructure and systems that are used to store, process, and analyze data. This course will provide Data Engineers with the knowledge and skills they need to build and manage data pipelines, data warehouses, and other data infrastructure.

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Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models to solve business problems. This course will provide Machine Learning Engineers with the knowledge and skills they need to build, train, and evaluate machine learning models.

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Analytics Manager

An Analytics Manager leads and manages a team of analysts who are responsible for collecting, analyzing, and interpreting data. This course will provide Analytics Managers with the knowledge and skills they need to effectively manage their team and ensure that they are delivering value to the organization.

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Data Architect

A Data Architect designs and builds the architecture for data systems. This course will provide Data Architects with the knowledge and skills they need to design and build data systems that are scalable, reliable, and secure.

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Data Governance Analyst

A Data Governance Analyst develops and implements policies and procedures for the management of data. This course will provide Data Governance Analysts with the knowledge and skills they need to develop and implement effective data governance programs.

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Data Scientist Manager

A Data Scientist Manager leads and manages a team of data scientists. They are responsible for setting the strategic direction for the team and ensuring that they are delivering value to the organization. This course will provide Data Scientist Managers with the knowledge and skills they need to effectively manage their team and ensure that they are delivering value to the organization.

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Data Analyst

A Data Analyst collects, analyzes, and interprets data to help organizations understand their business and make better decisions. This course will provide Data Analysts with the knowledge and skills they need to effectively analyze data, identify trends and patterns, and develop recommendations for improvement.

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Research Analyst

A Research Analyst conducts research and analysis to provide insights into specific topics. They may work in a variety of industries, including finance, healthcare, and marketing. This course will provide Research Analysts with the knowledge and skills they need to conduct effective research and analysis.

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Business Intelligence Analyst

A Business Intelligence Analyst collects, analyzes, and interprets data to help organizations understand their business and make better decisions. This course will provide Business Intelligence Analysts with the knowledge and skills they need to effectively analyze data, identify trends and patterns, and develop recommendations for improvement.

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Quantitative Analyst

A Quantitative Analyst develops and implements mathematical and statistical models to solve business problems. This course will provide Quantitative Analysts with the knowledge and skills they need to build and evaluate models.

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Financial Analyst

A Financial Analyst analyzes financial data to make investment recommendations. This course will provide Financial Analysts with the knowledge and skills they need to analyze financial data and make sound investment recommendations.

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Consultant

A Consultant provides advice and guidance to organizations on a variety of topics. This course may be useful for Consultants who want to develop their skills in data analysis and interpretation.

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