HOW IS A DATA SCIENTIST DIFFERENT FROM A DATA ANALYST?
Data has recently become more valuable than oil, so people who know how to handle, interpret, and explain patterns in data are in higher demand than ever. Almost all companies collect information about their customers, and it's becoming more and more important to know how to read this information correctly.
Here's where data scientists and data analysts come in. It is their job to look for changes, find patterns, and find outliers that show how a company or organisation is doing.
Since these jobs are becoming more important in the workplace, it's not surprising that more and more people want to get into them. One of the first things you should do to decide if a job in this field is right for you is to learn what makes each job different.
What are the most important differences between data scientists and data analysts?
Before we talk about the main differences between the two jobs, let's talk about what each person does on a daily basis.
What is the job of a data analyst?
A data analyst is usually part of the Business Intelligence team, and their work often has a direct effect on the decisions that the team makes. Their job is also to answer queries from across the company, collecting and analyzing data that is specific to a team or department.
Charts, graphs, and other visual aids are often used to show the results of their work. Data analysts are the gatekeepers of data in their organisations. They have a deep understanding of the industry in which they work.
The most important jobs of a data analyst are:
1. Using statistical methods to understand data and find patterns.
2. Creating databases and systems for collecting data to improve the efficiency of statistics.
3. Getting to know the business's priorities by working with management.
4. Filtering and cleaning data to make sure that data collection goes as smoothly as possible.
What does a data scientist do?
The name says it all, right? Data scientists handle data in a way that is more based on science. A data scientist needs math skills, computer skills, and business sense to do their job.
A data scientist will dig deeper into the data and look for patterns using data mining and machine learning. They will plan experiments and then make models and tests to prove or disprove what they found. Based on what they find, they will suggest how a company should act in the future.
The most important jobs of a data scientist are:
1. Finding good places to get information and making plans for how to get it.
2. Building models based on data analysis to solve business problems.
3. Putting data to the test by making algorithms and predictive models.
4. Using data visualisation techniques to show results and information.
The future will be all about data and how to make sense of it. Our Data Analytics course with Business Intelligence training gives students a great chance to become experts in the field and work in one of the most in-demand areas of the tech industry.
