Nice course with detailed materials and explanations, thank you
Nice course with detailed materials and explanations, thank you

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 isnât 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

Nice course with detailed materials and explanations, thank you
Showing: 6 of 6
Nice course with detailed materials and explanations, thank you
excellent
good
If I could choose 0 stars I would have selected that option. There is no data to work with. The student have to generate it with the random module in Python, so there is no feeling of working with real data or adding some value to my experience. To provide a credible dataset is the instructor's job.
1. Working on randomly generated data
2. Problems with uploading done project to coursera
3. Lack of clear instructions (instead you have a pdf to download instead clear instructions in the course itself)
It's not working properlly