Certificate in Data Analytics for Ads: High-Performance Insights

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The Certificate in Data Analytics for Ads: High-Performance Insights is a comprehensive course designed to equip learners with essential data analytics skills for the advertising industry. This program emphasizes the importance of data-driven decision-making in advertising, addressing industry demand for professionals who can extract high-performance insights from complex data sets.

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Throughout the course, learners will gain hands-on experience with powerful analytical tools and techniques, empowering them to optimize advertising campaigns, improve customer engagement, and drive business growth. By the end of the program, learners will have developed a solid foundation in data analytics for ads, enhancing their career advancement opportunities and competitive edge in the job market. In summary, this certificate course is a valuable investment for professionals seeking to excel in the advertising industry, as it addresses the growing need for data analytics expertise and equips learners with the skills to unlock high-performance insights.

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โ€ข Data Analysis Foundations
โ€ข Data Collection for Ad Analytics
โ€ข Data Cleaning and Preparation
โ€ข Exploratory Data Analysis
โ€ข Statistical Analysis in Advertising
โ€ข Data Visualization for Ad Insights
โ€ข Introduction to Machine Learning
โ€ข Advanced Ad Analytics Modeling
โ€ข Data Storytelling and Interpretation
โ€ข Ethical Considerations in Data Analytics

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The **Certificate in Data Analytics for Ads: High-Performance Insights** course covers essential skills for data analytics professionals in the advertising industry. In a dynamic job market, it's crucial to stay current with the latest trends and demands. This program is tailored to meet those needs, focusing on in-demand skills and technologies. This 3D pie chart showcases the most sought-after skills in data analytics for advertising in the UK. Here's a brief overview of each skill and its significance in the industry: 1. **Python (75%)**: Widely used in data analytics, Python's versatility and extensive libraries make it an ideal choice for processing and analyzing large datasets. 2. **SQL (65%)**: Proficiency in SQL is essential for retrieving, manipulating, and managing data stored in relational databases. 3. **Tableau (55%)**: Tableau's data visualization capabilities enable analysts to create engaging, interactive dashboards and reports for stakeholders. 4. **Excel (45%)**: Excel remains a popular tool for ad hoc data manipulation, analysis, and reporting. 5. **Power BI (35%)**: Microsoft's Power BI is gaining traction in the industry, allowing professionals to create powerful, interactive data visualizations and reports. Incorporating these skills will not only enhance your proficiency as a data analytics professional but also boost your career growth potential in advertising.

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CERTIFICATE IN DATA ANALYTICS FOR ADS: HIGH-PERFORMANCE INSIGHTS
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UK School of Management (UKSM)
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05 May 2025
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