#Octoparse product dropdown how to#
#Octoparse product dropdown movie#

To keep it interesting, why not focus on your local area? Collect job titles, companies, salaries, locations, required skills, and so on.

You can also find lots of online tutorials explaining how to proceed. Many beginners like scraping data from job portals since they often contain standard data types. There’s also a lot of potential here for further analysis. Data on IMDb is stored in a consistent format across all its pages, making the task a lot easier.

You can collect details about popular TV shows, movie reviews and trivia, the heights and weights of various actors, and so on. Data scraping project ideas The Internet Movie DatabaseĪ good beginner’s project is to extract data from IMDb. We recommend starting with something easy-a mostly-static site. Bear in mind though-data scraping can be challenging if you’re mining complex, dynamic websites. If it exists there, it’s a good bet you can go straight to the source and scrape it yourself. If you’re not certain, you can always search for a dataset on a repository site like Kaggle. Whichever tool you use, the important thing is to show that you understand how it works and can apply it effectively.īefore scraping a website, be sure that you have permission to do so. The process of web scraping can be automated using tools like Parsehub, ScraperAPI, or Octoparse (for non-coders) or by using libraries like Beautiful Soup or Scrapy (for developers). While there’s no shortage of great data repositories available online, scraping and cleaning data yourself is a great way to show off your skills. It involves pulling data (usually from the web) and compiling it into a usable format. Data scraping project ideas for your portfolio What is data scraping?ĭata scraping is the first step in any data analytics project. With that in mind, we’ll keep it nice and simple with some basic ideas, and a few tools you might want to explore to help you along the way. This makes life easier since you can learn the individual skills in a controlled way. If you’re inexperienced, it can help to present each item as a mini-project of its own. Communicate your results using visualizations.As a beginner though, you’ll need to show that you can: As your skills improve, your portfolio will grow in complexity.

But it also needs to show that you can collect data, clean it, and report your findings in a clear, visual manner. Yes, your portfolio needs to show that you can carry out different types of data analysis. This makes sense when you think about it-after all, our insights are only as good as the quality of our data. In fact, about 80% of all data analytics tasks involve preparing data for analysis.

As any experienced data analyst will tell you, the insights we see as consumers are the result of a great deal of work. What should you include in your data analytics portfolio?ĭata analytics is all about finding insights that inform decision-making. Exploratory data analysis project ideas.What should you include in your data analytics portfolio?.We’ll then share nine project ideas that will help you build your portfolio from scratch, focusing on three key areas: Data scraping, exploratory analysis, and data visualization. In this post, we’ll highlight the key elements that your data analytics portfolio should demonstrate. And the good news? Data is everywhere-you just need to know where to find it and what to do with it. The most important thing is to demonstrate your skills, ideally using a dataset that interests you. You might also think that your data projects need to be especially complex or showy, but that’s not the case. Finding projects for your data analytics portfolio can be tricky, especially when you’re new to the field.

#Octoparse product dropdown how to#

#Octoparse product dropdown movie#