Professional Certificate in Marketing Data Insights
-- viewing now**Professional Certificate in Marketing Data Insights** **For aspiring data professionals and marketing enthusiasts,** this comprehensive certificate program equips you with the skills and knowledge to navigate the ever-evolving world of marketing data. **This program is perfect for:** * Marketing professionals seeking to enhance their data analysis abilities * Business analysts looking to expand their data-driven decision-making * Anyone interested in pursuing a career in marketing analytics **Key topics covered include:** * Data wrangling and cleaning * Descriptive statistics * Data visualization * Predictive analytics * Machine learning **Upon completion of this certificate program, you will be able to:** * Extract valuable insights from marketing data * Develop data-driven marketing strategies * Make informed decisions that drive business growth **Don't miss out on this opportunity to transform your career in marketing data insights.
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Course details
• • Descriptive Statistics •
• • Data Cleaning and Preprocessing •
• • Feature Engineering •
• • Exploratory Data Analysis (EDA) • **Marketing Data Analytics Tools and Techniques** • • SQL and SQL-like Languages •
• • Data Warehousing and Data Modeling •
• • Data Mining and Machine Learning •
• • Predictive Analytics •
• • Statistical Modeling • **Marketing Data Insights and Analytics** • • Predictive Analytics for Marketing •
• • Customer Segmentation and Targeting •
• • Marketing Campaign Optimization •
• • Marketing ROI Measurement •
• • Data-Driven Marketing Strategies • **Marketing Data Ethics and Compliance** • • Data Privacy and Security •
• • Ethical Data Collection and Analysis •
• • Responsible Data Use and Disclosure •
• • GDPR and Other Data Regulations •
• • Data Governance and Management • **Marketing Data Tools and Resources** • • Data Analytics Software (e.g., SAS, R, Python) •
• • Data Visualization Tools (e.g., Tableau, Power BI) •
• • Open-Source Data Analytics Tools •
• • Marketing Data Hubs and Resources •
• • Data-as-a-Service (DaaS) Platforms •