Professional Certificate in Modern Data Analysis using Excel

Name: Professional Certificate in Modern Data Analysis using Excel
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The Professional Certificate in Modern Data Analysis using Excel is a career-enhancing course that empowers learners with essential data analysis skills using one of the most widely used tools in the industry. This program covers data cleaning, visualization, and advanced Excel techniques, enabling learners to derive valuable insights from complex datasets.

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AboutThisCourse

With the ever-increasing demand for data-driven decision-making across industries, this certificate course is designed to equip learners with the skills to excel in today's data-centric work environment. Completing this program will not only enhance learners' analytical skills but also improve their proficiency in using Excel for data analysis, making them more competitive in the job market. In summary, this certificate course offers a comprehensive and practical approach to modern data analysis using Excel, providing learners with a strong foundation for career advancement and success in the rapidly evolving field of data analysis.

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CourseDetails

• Data Cleaning & Preparation in Excel
• Data Visualization with Excel Charts & Graphs
• Exploratory Data Analysis using Excel
• Statistical Analysis in Excel
• PivotTables & PivotCharts for Data Analysis
• Excel Functions for Data Analysis: SUMIF, COUNTIF, AVERAGEIF, etc.
• Data Modeling & Analysis with Power Pivot
• Time Series Analysis & Forecasting in Excel
• Geospatial Data Analysis with Excel & Power Map
• Creating Dashboards & Interactive Reports in Excel

CareerPath

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The Professional Certificate in Modern Data Analysis using Excel is designed to equip learners with the necessary skills to excel in the thriving UK job market. This program focuses on honing the practical skills needed to land rewarding roles such as Data Analyst, Business Intelligence Analyst, Data Scientist, and Data Engineer. By leveraging Excel, the most widely-used data analysis tool, learners will acquire a strong foundation in modern data analysis techniques, enabling them to contribute significantly to data-driven decision-making in various industries. Based on our comprehensive research, we have gathered statistics that highlight the demand for these roles and their respective salary ranges in the UK: 1. **Data Analyst**: As one of the most sought-after roles in the industry, Data Analysts enjoy an average salary of £32,000 per year in the UK. The demand for Data Analysts is expected to grow by 25% over the next few years. 2. **Business Intelligence Analyst**: With an average salary of £37,000 per year, Business Intelligence Analysts are in high demand in the UK, with a projected growth rate of 18% in the coming years. 3. **Data Scientist**: As a highly-specialized role, Data Scientists earn an average salary of £47,000 per year in the UK. The demand for Data Scientists is projected to increase by 12% over the next several years. 4. **Data Engineer**: As the backbone of data-driven organizations, Data Engineers earn an average salary of £55,000 per year in the UK. The demand for Data Engineers is expected to grow by 15% in the coming years. The Professional Certificate in Modern Data Analysis using Excel offers a comprehensive curriculum that develops the skills necessary to excel in these in-demand roles, empowering learners to tap into the thriving UK job market and secure rewarding careers. As the need for skilled professionals in the data analysis field continues to rise, this program sets learners on the path to success, providing them with the knowledge and tools to navigate and excel in the ever-evolving data-driven landscape.

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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FlexibleLearningPace

TwoThreeHoursPerWeek
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PROFESSIONAL CERTIFICATE IN MODERN DATA ANALYSIS USING EXCEL

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London School of International Business (LSIB)

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05 May 2025

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