![]() ![]() We explain each step in more detail in this guide to the data analysis process, and you’ll apply it first-hand throughout this course □īut the role isn’t just limited to a single process. Clean the data so that it’s ready for analysisĪt each stage, data analysts use a range of different tools-such as Microsoft Excel for data wrangling and Tableau for data visualizations.Define your question or problem statement.To find the insights and answers you need, you’ll generally go through the following steps: Any kind of data analysis usually starts with a specific problem you want to solve, or a question you need to answer-for example, “Why did we lose so many customers in the last quarter?” or “Why are patients dropping out of their therapy programs at the halfway mark?” For now, though, let’s explore the role of the data analyst.Īs a data analyst, it’s your job to turn raw data into meaningful insights. You’ll find a more comprehensive explanation of what data analytics is in this guide, and it’s also worth reading up on the four different types of data analysis. It helps you make sense of the past and predict future trends and behaviors, leaving you much better equipped to make smart decisions. With these insights, you’re able to ensure that public transportation continues to run smoothly □Īs you can see, data analytics replaces guesswork with data-driven insights. You guessed it…data analytics! You analyze data from similar events that have happened in the past and use it to predict the number, frequency, and types of journeys that are likely to occur around this event. In order to avoid absolute chaos, you need to adapt the usual public transport schedule to accommodate for this influx of people and increase in travel throughout the city. There’s a major sporting event coming up in the city, and you know that people will be flying in from all over to attend. ![]() Imagine you’re a data analyst working for a public transport network-think MTA in New York City, or TFL in London. It’s a form of business intelligence, enabling companies and organizations to make smart decisions based on what the data is telling them.ĭata analytics encompasses the extraction (or collection) of raw data, the preparation and subsequent analysis of that data, and storytelling-sharing key insights from the data, using them to explain or predict certain scenarios and outcomes, and to inform decisions, strategies, and next steps.ĭoes that all sound a bit abstract? Let’s bring it to life with an example. If we had to sum it up in a single sentence, we’d say it’s the process of analyzing raw data in order to draw out meaningful, actionable insights. We’ll be happy to hear from you □Īre you ready to begin your excursion into the fascinating world of data analytics?įirst things first: **What exactly is data analytics? ** If you have questions or feedback along the way, simply reply to any of the course emails you receive.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |