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Análise de marketing com Python

Adquira as habilidades em Python que você precisa para tomar melhores decisões de marketing orientadas por dados. Neste curso, você aprenderá a analisar o desempenho da campanha, medir o envolvimento do cliente e prever a rotatividade de clientes. Trabalhando com dados do mundo real, incluindo transações de varejo, você descobrirá como analisar dados de mídia social, extrair insights de dados de texto e adquirir habilidades de análise de cestas de mercado que o ajudarão a entender melhor seus clientes. Você também usará modelos estatísticos e aprendizado de máquina para prever o valor do tempo de vida do cliente. Por meio de atividades práticas, você usará pacotes populares como pandas, Matplotlib, tweepy, NLTK, seaborn, NumPy, SciPy e scikit-learn para ajudá-lo a aprimorar a estratégia de marketing da sua empresa. Ao final do curso, você estará pronto para navegar no mundo do marketing usando Python.

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Amado por alunos de milhares de empresas

1
Python
Analyzing Marketing Campaigns with pandas

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

4 hours

Jay Rosok Headshot

Jay Rosok

Data Scientist at Spotify

2
Python
Analyzing Social Media Data in Python

In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

4 hours

Alex Hanna Headshot

Alex Hanna

Computational Social Scientist

3
Python
Market Basket Analysis in Python

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

4 hours

Isaiah Hull Headshot

Isaiah Hull

Economist

4
Python
Machine Learning for Marketing in Python

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

4 hours

Karolis Urbonas Headshot

Karolis Urbonas

Head of Machine Learning and Science

5
Python
Customer Segmentation in Python

Learn how to segment customers in Python.

4 hours

Karolis Urbonas Headshot

Karolis Urbonas

Head of Machine Learning and Science

6
Python
Marketing Analytics: Predicting Customer Churn in Python

Learn how to use Python to analyze customer churn and build a model to predict it.

4 hours

Mark Peterson Headshot

Mark Peterson

Senior Data Scientist at Alliance Data

7
Python
Customer Analytics and A/B Testing in Python

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

4 hours

Ryan Grossman Headshot

Ryan Grossman

Data Scientist at EDO Inc.

8
Python
Combating Subscriber Churn with Targeted Marketing

Leverage machine learning algorithms and models for marketing analytics tasks in a streaming platform.

2 hours

Iván Palomares Carrascosa Headshot

Iván Palomares Carrascosa

Senior Data Science & AI Manager

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Instructors

  • Jay Rosok Headshot
    Jay RosokData Scientist at SpotifySee Jay Rosok's Portfolio
  • Alex Hanna Headshot
    Alex HannaComputational Social ScientistSee Alex Hanna's Portfolio
  • Isaiah Hull Headshot
    Isaiah HullEconomistSee Isaiah Hull's Portfolio
  • Karolis Urbonas Headshot
    Karolis UrbonasHead of Machine Learning and ScienceSee Karolis Urbonas's Portfolio

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