courseraАнализ данных

Clean and analyze social media usage data with Python

Курс от Coursera

Средний≈ 2.4 чАнглийский

О курсе

In this project, you'll serve as a data analyst at a marketing firm specializing in social media brand promotion. Your task is to use Python to extract, clean, and analyze tweets in specific categories (health, family, food, etc.) and generate visualizations. Your analysis will provide valuable insights to help clients enhance their social media performance and allow the firm to deliver tweets on time and within budget, leading to faster results. There isn’t just one right approach or solution in this scenario, which means you can create a truly unique project that helps you stand out to employers. ROLE: Data Analyst SKILLS: Python PREREQUISITES: Python, Numpy, Matplotlib or Seaborn, Git, Jupyter Notebook

Навыки, которые вы освоите

Data Visualization Social Media Marketing Exploratory Data Analysis Data Analysis Content Performance Analysis Python Programming Marketing Analytics Social Media Seaborn Data Wrangling Jupyter Statistical Visualization Plot (Graphics)Matplotlib Data Presentation Data Cleansing Social Media Analytics

Программа курса

1 модулей · 10 учебных материалов

01Project10 материалов

Part 1: Overview

Getting StartedЧтение The Project ScenarioЧтение See Example ProjectsЧтение

Part 2: Build Your Project

Choose Your PlatformЧтение

Учитесь у экспертов

David Dalsveen

Subject Matter Expert