What Work Does A Data Scientist Do? How Is It Different From A Data Analyst?

 Before knowing about Data Scientist, you must read about Data Science because both are linked to each other.

What Is Data Science?

Data science is a field that incorporates data analytics. It includes forecasting with learning, developing AI (artificial intelligence), and working with big data.

Data scientists develop algorithms to identify patterns in new information, automate data processes, and make suggestions based on past behavior. What’s more, data scientists work on things like predicting the financial future, detecting tumors in X-ray images, and creating customer-facing chatbots.

What Is The Job Of A Data Scientist?

In simple words, data scientist gathers relevant data from various sources, decipher useful information, and identify important questions. In the end, they translate it into business solutions and commune the findings to positively affect the business.

Apart from collecting data, Data Scientists are also experienced in leadership and communication skills, which are required to drive tangible results to various business stakeholders.

Data Skills For Scientists And Analysts

	Data Analyst	Data Scientist
Mathematics	Foundational math, statistics	Advanced statistics, predictive analytics
Programming	Basic fluency in R, Python, SQL	Advanced object-oriented programming
Software and tools	SAS, Excel, business intelligence software	Hadoop, MySQL, Tensor Flow, Spark
Other skills	Analytical thinking, data visualization	Machine learning, data modeling

 

Data Scientists Vs Data Scientists

Both the professions include doing something with data, but what?

So let’s read below-

Data scientists

Data scientists deal with the unknown by using advanced data techniques to forecast the future. They can handle both – structured and unstructured data. And this profession is considered more advanced than a data analyst.

• ·         Collecting, sorting out, and processing raw data
• ·         Designing machine learning algorithms and predictive models to excavate big data groups
• ·         Creating tools and processing to monitor and evaluate data accuracy
• ·         Building dashboards, reports, and data visualization tools
• ·         Writing programs to automate data processing and collection

Data Analyst

Data analysts work with structured data to solve real business problems using tools/software like data visualization software, Python programming languages, statistical analysis, and SQL.

• ·         Teaming up with organizational leaders to recognize informational needs
• ·         Gathering data from primary & secondary sources
• ·         Sorting out and re-arranging data for analysis
• ·         Evaluating data sets to spot patterns and trends that can be turned into actionable insights

Last Words

You can now see what the actual difference between a data scientist and a data analyst is. Also, check out the skills required for both of them. Finally, it's totally up to you what profession you choose and in which you are interested. Understand the work of both the professions and then find your interest in a particular version. The world is gradually shifting towards advanced technology, and for survival, we should embrace such types of professions.