Technical Content Writer, currently writing content for House of Bots. ...
Full BioTechnical Content Writer, currently writing content for House of Bots.
The New Dog like Robot Made by Stanford Students Can Jump, Trots, and do Flips
634 days ago
Analysts Must Approach these Books to Handle the Big Data in Businesses
634 days ago
Unleashing the Power of the Internet of Things in the Healthcare Sector
634 days ago
These are the Best RPA tools businesses are Leveraging in 2019
635 days ago
Become a Complete Ethical Hacker with these Free Youtube videos
635 days ago
Difficulty in Learning Programming Languages? Follow these guided steps
130929 views
Clarifying Differences between Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data
121074 views
How To Learn and Master Any Programming Language?
80310 views
Use Cases of Robotic Process Automation in HR. Know How RPA can transform your HR operations.
52416 views
Why Programming Language R is so popular in Data Science?
49665 views
Key Differences between a Data Scientist and a Data Analyst
- Working as a Data Analyst and a Data Scientist will require you to analyze data, draw out useful information which is required by your business, analyze patterns and draw useful insights. While as a Data Analyst you will be working mostly with Structured Data, you should be expert working and analyzing with Unstructured data as well while working as a Data Scientist. Much of your efforts will be required in that. You can understand Structured Data as the data in a specific format like you can take the example of some your files that you have stored in a specific format at a directory which is obviously easy to analyze than in comparison to the number of files of different formats that you have saved anonymously in a messy way in a directory which is hard to analyze.
- While working as a Data Scientist you will analyze data sets which are more complex and large in number as compared to Data Analyst job. This makes Data Scientist role a bit higher than an Analyst job.
- A Data Analyst analyzes a particular set of Data, finds the hidden aspects, and solve the problems faced by the business. He analyzes and finds key areas where the business needs to be paid attention to. He analyzes and finds the patterns that are useful to the business. This follows the right decisions and strategies which takes a business closer to its goal. Working as a Data Scientist you will also do all of these things but it will also require you to predict about the future as well. Like predicting what the scenario of the future be like by analyzing the past and present trends. This obviously requires more skills.