For example, when you want to know what percentage of the impact ‘Campaign A’ conducted by the marketing team had on purchase conversions, you can extract and process the data before and after Campaign A and visualize or tabulate it to provide an intuitive solution. We must be able to share insights based on quantitative data. [Data analyst study] In fact, there are so many things a data analyst needs to know. So I keep studying. When I interviewed Jen, a data analyst at Channel Talk, she said that among the many things she had to study, she chose ‘SQL’ and is still constantly studying it. A site I often refer to when studying is called ‘Coursera’. It is said to have great quality content that has made Ivy League lectures online, so please refer to it! Additionally, since it often requires communication with data engineers, I recommend studying development terminology.
Go to Coursera SQL lecture
Visualizing data is also the domain of data analysts] Processing capabilities are as important South Africa WhatsApp Number Data as accumulating and extracting data. It is necessary to visualize the data so that it can be read at a glance. In particular, charting is the most commonly used method, and since the types of charts are so vast, we have collected chart designs that can be frequently used based on data mainly extracted from general shopping mall companies. Source Bar Chart 2. Bubble Chart 3. Marimekko Chart It would be a good idea to study how to use the three charts above, right? Let’s take a quick look at the work of a data analyst! Being a data analyst is a good fit if you have a fundamental tendency to be persistent. You have to dig persistently until you get the data you want without getting tired, but people who have a tendency to find this part difficult are said to have a hard time in the middle.
We just haven’t started analyzing it
The data collected as shown in the table above is collectively called a weblog. Why do Qatar phone data we collect web logs? It’s for ‘analysis’. Analytics also helps us improve our site to make it a better experience. Looking at the table above, you can see that User A accessed the main page at 1:15 PM. Assuming that there are about 1,000 web logs like the one above, you can know the number of visitors to. The main page and the number of visitors to the detailed page. Number of visitors to the main page and number of detailed page visitors You realize that 1,000 people have accessed the main page, but only 300 have accessed the detail page. It is possible that 700 people moved to another page or abandoned the site. The fact that 70% of visitors did not view the detailed page, which has a large impact on purchase conversion, means that the funnel from the main page to the detailed page is difficult. Through this web log-based analysis, you can find out what needs to be improved.