YoVDO

Clean and analyze social media usage data with Python

Offered By: Coursera Project Network via Coursera

Tags

Data Cleaning Courses Data Analysis Courses Data Visualization Courses Python Courses Git Courses Seaborn Courses Matplotlib Courses NumPy Courses Jupyter Notebooks Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Syllabus

  • Project
    • In this 6-8 hour project, you'll conduct a clean & analysis of Tweets using Python and upload your findings to your Coursera profile to showcase to potential employers.

Taught by

David Dalsveen

Related Courses

Computational Investing, Part I
Georgia Institute of Technology via Coursera
Введение в машинное обучение
Higher School of Economics via Coursera
Математика и Python для анализа данных
Moscow Institute of Physics and Technology via Coursera
Introduction to Python for Data Science
Microsoft via edX
Using Python for Research
Harvard University via edX