Executive Development Programme in Data Analytics: Analytics Basics

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The Executive Development Programme in Data Analytics: Analytics Basics certificate course is a crucial program designed to equip learners with essential data analytics skills for career advancement. In today's data-driven world, there is an increasing demand for professionals who can analyze and interpret complex data sets to make informed business decisions.

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ร€ propos de ce cours

This course provides a comprehensive introduction to data analytics, covering key concepts and techniques such as data cleaning, visualization, and statistical analysis. Learners will gain hands-on experience working with real-world data sets, using popular tools and technologies such as Python, R, and Tableau. By completing this course, learners will develop a strong foundation in data analytics, enabling them to drive business value and innovation in their organizations. Whether you are a business leader looking to make data-driven decisions, or a data professional seeking to enhance your skillset, this course is an essential step towards a successful career in data analytics.

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Dรฉtails du cours

โ€ข Introduction to Data Analytics: Understanding the concept, importance, and applications of data analytics in business

โ€ข Data Literacy: Basics of data manipulation, data types, data structures, and data cleaning

โ€ข Data Visualization: Techniques to present data in a visual context, enhancing understanding and decision-making

โ€ข Statistical Analysis: Fundamentals of probability, distributions, statistical inference, and hypothesis testing

โ€ข Data Mining: Exploration and analysis of large datasets, identifying patterns, trends, and relationships

โ€ข Predictive Analytics: Utilizing statistical models, machine learning, and data forecasting to make data-driven predictions

โ€ข Big Data Analytics: Overview of big data, its sources, and challenges, with a focus on Hadoop and Spark frameworks

โ€ข Data Analytics Tools: Hands-on experience with popular data analytics tools, such as R, Python, Tableau, and Power BI

โ€ข Data Ethics and Privacy: Guidelines for ensuring ethical data practices and maintaining privacy standards

Parcours professionnel

The Executive Development Programme in Data Analytics: Analytics Basics is a comprehensive course designed to equip professionals with essential data analytics skills in the UK. In this section, we focus on the following key roles and their respective representation in the industry: - **Data Analyst**: These professionals collect, process, and perform statistical analyses on data to derive insights. With a 35% share of the industry, data analysts are in high demand, offering an average salary of ยฃ30,000 - ยฃ40,000. - **Data Scientist**: These experts design and implement machine learning models, statistical algorithms, and predictive models. With a 25% share, data scientists earn an average of ยฃ40,000 - ยฃ60,000. - **Data Engineer**: Responsible for building and maintaining data architectures, data engineers have a 20% share and earn ยฃ45,000 - ยฃ70,000 on average. - **BI Analyst**: BI analysts focus on business reporting and data visualization. With a 15% share, they earn ยฃ30,000 - ยฃ45,000. - **Data Architect**: These professionals design and build scalable data architectures. Although they account for only 5% of the industry, data architects enjoy an average salary of ยฃ60,000 - ยฃ90,000. Our programme covers the fundamentals of data analytics, preparing professionals for success in these rewarding roles. The 3D pie chart above offers a quick overview of the industry's role distribution, ensuring you have the most relevant information at your fingertips.

Exigences d'admission

  • Comprรฉhension de base de la matiรจre
  • Maรฎtrise de la langue anglaise
  • Accรจs ร  l'ordinateur et ร  Internet
  • Compรฉtences informatiques de base
  • Dรฉvouement pour terminer le cours

Aucune qualification formelle prรฉalable requise. Cours conรงu pour l'accessibilitรฉ.

Statut du cours

Ce cours fournit des connaissances et des compรฉtences pratiques pour le dรฉveloppement professionnel. Il est :

  • Non accrรฉditรฉ par un organisme reconnu
  • Non rรฉglementรฉ par une institution autorisรฉe
  • Complรฉmentaire aux qualifications formelles

Vous recevrez un certificat de rรฉussite en terminant avec succรจs le cours.

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