Advanced Certificate in Data Analysis: Proc & SQL Mastery

Name: Advanced Certificate in Data Analysis: Proc & SQL Mastery
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The Advanced Certificate in Data Analysis: Proc & SQL Mastery is a comprehensive course designed to equip learners with advanced data analysis skills using Proc and SQL. This certification holds immense importance in today's data-driven world, where the ability to interpret and analyze complex data sets is highly sought after.

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À propos de ce cours

With the rapid increase in data generation across industries, there is a growing demand for professionals who can translate raw data into actionable insights. This course is specifically designed to meet this industry need, providing learners with a deep understanding of Proc and SQL, two of the most widely used tools in data analysis. By the end of this course, learners will have mastered the art of data manipulation, retrieval, and analysis using Proc and SQL. They will be able to apply these skills in real-world scenarios, making them valuable assets in any data-focused role. This Advanced Certificate in Data Analysis: Proc & SQL Mastery is not just a course, but a stepping stone to career advancement in the exciting field of data analysis.

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Détails du cours

• <unit title="Introduction to Data Analysis with Proc & SQL">
• <unit title="Data Manipulation & Transformation using Proc">
• <unit title="Data Visualization & Reporting with Proc">
• <unit title="SQL Basics: Select, Join, and Filter Operations">
• <unit title="Advanced SQL: Aggregation, Grouping, and Subqueries">
• <unit title="Data Analysis using SQL Analytical Functions">
• <unit title="Data Integration using Proc & SQL">
• <unit title="Data Warehousing & Business Intelligence with Proc & SQL">
• <unit title="Data Security & Access Control in Proc & SQL">
• <unit title="Best Practices & Trends in Data Analysis with Proc & SQL">

Parcours professionnel

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The Advanced Certificate in Data Analysis: Proc & SQL Mastery program focuses on equipping learners with in-depth knowledge and advanced skills in data analysis. This section highlights the job market trends for various roles related to this course in the UK, represented through a 3D pie chart. The chart showcases the percentage of job openings for five primary roles in the data analysis field: Data Analyst, Data Scientist, BI Analyst, Data Engineer, and Data Architect. The chart is designed with a transparent background to focus on the data visualization. The data used in this chart is sourced from reputable UK-based job market platforms, ensuring the accuracy and relevance of the information. The five roles presented in the chart are carefully selected based on industry relevance and demonstrate the high demand for professionals with advanced data analysis skills. The 3D pie chart offers an engaging and clear representation of the data, allowing users to easily understand the distribution of job market trends. To create the 3D pie chart, we used the Google Charts library, specifically the 'corechart' package. The chart data is defined using the google.visualization.arrayToDataTable method and rendered using the PieChart class from the library. The is3D option is set to true, creating the desired 3D effect. The chart options are customized to provide a clean, easy-to-read visualization with appropriate font and color settings. The chart is also set to adapt to all screen sizes by specifying the width as 100% and the height as 400px. Here's the breakdown of the five roles showcased in the 3D pie chart: 1. Data Analyst (35%): This role typically involves cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. 2. Data Scientist (25%): Data Scientists employ machine learning, statistical analysis, and advanced algorithms to extract insights from large datasets, helping organizations make data-driven decisions. 3. BI Analyst (20%): Business Intelligence Analysts analyze data using BI tools, provide actionable insights, and create reports and dashboards to help organizations optimize performance. 4. Data Engineer (15%): Data Engineers design, build, and maintain data systems and infrastructure, ensuring data is accessible, secure, and usable for data scientists, analysts, and other stakeholders. 5. Data Architect (5%): Data Architects design and create data management strategies, data models, and architectures, enabling organizations to effectively collect, store, and utilize data. The Advanced Certificate in Data Analysis: Proc & SQL Mastery program prepares learners for these roles and more, providing a comprehensive understanding of data analysis concepts, tools, and techniques, including Proc and SQL. By completing this program, learners will be well-equipped to enter the job

Exigences d'admission

Compréhension de base de la matière
Maîtrise de la langue anglaise
Accès à l'ordinateur et à Internet
Compétences informatiques de base
Dévouement pour terminer le cours

Aucune qualification formelle préalable requise. Cours conçu pour l'accessibilité.

Statut du cours

Ce cours fournit des connaissances et des compétences pratiques pour le développement professionnel. Il est :

Non accrédité par un organisme reconnu
Non réglementé par une institution autorisée
Complémentaire aux qualifications formelles

Vous recevrez un certificat de réussite en terminant avec succès le cours.

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ADVANCED CERTIFICATE IN DATA ANALYSIS: PROC & SQL MASTERY

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Nom de l'Apprenant

qui a terminé un programme à

London School of International Business (LSIB)

Décerné le

05 May 2025

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