AI for Marketing

A comprehensive course on leveraging artificial intelligence to enhance marketing strategies, covering content optimization, predictive lead scoring, and campaign analytics.

This course offers a strategic perspective on integrating AI into marketing. It focuses on how AI can transform marketing tactics through data analysis, predictive analytics, and personalized campaigns.

This course equips you with the skills to optimize data workflows, automate analysis, and generate actionable insights using AI. It covers automating ETL processes and generating synthetic data with tools like ChatGPT-4 and MOSTLY AI.

A comprehensive course on leveraging Generative AI in marketing and sales. It includes modules on forecasting trends, analyzing sales data, and a specific section on Customer Lifetime Value Prediction with GenAI.

An intermediate-level course on leveraging Generative AI to improve customer success processes, engagement, and support automation, while addressing ethical and data privacy challenges.

This course explores supervised machine learning techniques using the python Scikit-Learn (sklearn) toolkit and real-world athletic data to understand both machine learning algorithms and how to predict athletic outcomes.

An eight-course program designed to build job-ready skills in marketing analytics, including data collection, evaluation, visualization, and A/B testing. This certificate is suitable for beginners and covers the use of Meta Ads Manager.

This project-based course teaches how to train several classification algorithms like Logistic Regression, Support Vector Machine, K-Nearest Neighbors, and Random Forest Classifier to predict the churn rate of Telecommunication Customers.

A guided project that teaches how to use Py Spark to build a machine learning model for predicting customer churn in a Telecommunications company, covering data loading, exploratory data analysis, preprocessing, model training, and evaluation.

This specialization demonstrates how to use Excel for data analysis and visualization, which can be a powerful tool for initial data exploration.

This article and related courses on Data Camp discuss how AI is used in retail to enhance operational efficiency and personalize customer experiences, including AI-driven visual merchandising and predictive analytics.

Meta Social Media Marketing Professional Certificate

Machine Learning é uma disciplina da área da Inteligência Artificial que, por meio de algoritmos, dá aos computadores a capacidade de identificar padrões em dados massivos e fazer previsões (análise preditiva).Data Science é o estudo disciplinado dos dados e informações inerentes ao negócio e todas as visões que podem cercar um determinado assunto. É uma ciência que estuda as informações, seu processo de captura, transformação, geração e, posteriormente, análise de dados para converter em evidência.A Análise de Dados é um processo de inspeção, limpeza, transformação e modelagem de dados com o objetivo de descobrir informações úteis, informar conclusões e apoiar a tomada de decisões. A análise de dados tem múltiplas facetas e abordagens, abrangendo diversas técnicas sob uma variedade de nomes, e é usada em diferentes domínios dos negócios, ciências e ciências sociais. No mundo dos negócios de hoje, a análise de dados desempenha um papel tornando a tomada de decisões mais científicas e ajudando as empresas a operar com mais eficácia Neste curso você vai entender que juntos a Data Science, Machine Learning e Data Analytics além de inovações tecnológicas são aliados para o bom funcionamento das ações organizacionais, e tem poder de influência em toda cadeia produtiva.Bons estudos!

Embark on a transformative journey into the world of Data Analytics, Data Science, and Machine Learning, where you’ll learn the essential skills, tools, and mindsets to become a successful data professional. This comprehensive program is designed to take you from beginner to advanced, equipping you with the knowledge and practical experience needed to excel in the field.Whether you’re looking to kickstart a career in data analytics or enhance your existing skills, this course will empower you to succeed in the dynamic world of data. Join us on this exciting path and unlock your potential in just 60–100 days of disciplined learning.Why This Course Matters Most learners struggle with fragmented resources, inconsistent guidance, or theory-heavy content that doesn’t build real competence. This course solves that problem. It’s structured to provide step-by-step, cumulative, and daily progress — helping you turn knowledge into capability, and capability into career readiness.We are in the AI revolution, and every industry is transforming with tools like ChatGPT, Stable Diffusion, and AI copilots for writing, coding, design, analytics, and more. This course ensures you don’t just learn theory — you’ll build real-world solutions that make you job-ready.1. Foundations of Data Analytics, Data Science & Python Learn how to think like a data scientist, not just how to write code.Python fundamentals: variables, loops, conditionals, functions, data structures.Clean, modular, reusable coding practices for data workflows.Importing and handling real-world datasets with Pandas and Num Py.Data types, memory optimization, and performance tuning.A-Z data cleaning and manipulation techniques: sorting, filtering, pivot tables, and charts.2. Excel, SQL, Python & Power BI Profi