Data Science Vs. Data Analytics

www.analyticsdrift.com

What is Data Science?

[{"selector":"#anim-481c6862-9572-4c91-89b0-a4003a4454c0","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-14203faf-16c7-4e58-a0e3-18064397ca88","keyframes":{"transform":["translate3d(-115.94685%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] www.analyticsdrift.com Data science is a study that deals with big data to design and build various processes for data modeling, analysis, and prediction workflows. It uses machine learning algorithms to create, train, and build predictive models that help analyze data.

What is Data Analytics?

[{"selector":"#anim-4bcb07c8-838e-4e80-b8cf-7501200ceb2c","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-4dde5f1a-cb2a-40e8-a081-f1c2d01a8604","keyframes":{"transform":["translate3d(-115.94685%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] www.analyticsdrift.com Data analytics is the process of exploring existing structured raw data with a specific goal in mind. It finds hidden patterns, new trends, and correlations to derive essential insights.

What is the Main Difference?

[{"selector":"#anim-282a50aa-b887-43c8-998b-bead55295f50","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-c51f74f1-374a-4eb1-af85-34b412eebe4e","keyframes":{"transform":["translate3d(-116.06557%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] www.analyticsdrift.com Data science focuses on understanding the purpose of the dataset and forming the questions the dataset can solve. In contrast, data analytics is a constituent of data science that uses the learning from processed data to answer questions and make decisions.

[{"selector":"#anim-99dc8461-ce0b-44db-adc0-6790edc06a60","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-96e57042-7a39-4a74-a884-ecc1a19ca0ac","keyframes":{"transform":["translate3d(-116.38795%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Data Science vs. Data Analytics: Fundamentals Objective www.analyticsdrift.com Data science mainly concerns cross-checking hypotheses, connecting the dots, and forming questions to uncover new patterns that might have gone unnoticed by others. However, data analytics involves answering questions to create profitable business decisions.

Data Science vs. Data Analytics: Tools Used

[{"selector":"#anim-0879cd34-7194-4d0e-9eab-cf07df46e68b","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-c10a686a-b843-436d-abf2-43234a0ade3f","keyframes":{"transform":["translate3d(-115.97444%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] www.analyticsdrift.com Handling zettabytes of raw data to discover valuable outcomes requires specific data science tools that have predefined workflows, functions, and algorithms. Ex. Statistical Analysis System, Apache Hadoop, and TensorFlow. For data analytics, you can use Microsoft Excel, Google Analytics, Power BI, Apache Spark, etc.

Data Science vs. Data Analytics: Job Role

[{"selector":"#anim-95bba4d9-44e7-4182-adc0-363d664457df","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-0b8a7f9a-22f5-4a54-a549-0ac3086be9fb","keyframes":{"transform":["translate3d(-116.27906%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] www.analyticsdrift.com Data science has five main job roles: data scientist, data analyst, data engineer, business intelligence specialist, and data architecture. The job role of a data analyst involves exploratory data analysis, data cleaning, finding new patterns, and developing easy-to-understand visualizations.

What Career Should You Choose?

[{"selector":"#anim-f641554b-b050-4384-9274-0cae3f844712","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-282b3c87-fefc-4bb6-99cd-b26f721cdb52","keyframes":{"transform":["translate3d(-117.25352%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] www.analyticsdrift.com You can decide which course is more fitting depending on your interests and skills. If you want a more technical role, then data science is a good choice. While if you are a problem solver and fond of discovering new insights from data, choose data analysis. Learn more now

Stories

[{"selector":"#anim-3939c160-13f4-4fb8-9668-f751a6d67220","keyframes":{"opacity":[0,1]},"delay":100,"duration":800,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-21ba1b75-d011-46f7-9253-b32bcfe2daa1","keyframes":{"transform":["translate3d(-112.45791%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":100,"duration":800,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-7d4a2bb5-fde6-46a0-aef6-149460227f03","keyframes":{"opacity":[0,1]},"delay":0,"duration":800,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-874a4231-2f24-4189-9b00-b576634b2ef4","keyframes":{"transform":["translate3d(-116.17021%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":800,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-8bcbcc64-7602-4af1-a6db-aa08f825d290","keyframes":{"opacity":[0,1]},"delay":200,"duration":3000,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-eb9e05c1-f651-4714-9328-595a40536460","keyframes":{"opacity":[0,1]},"delay":200,"duration":3000,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-5cdd0791-2daf-4806-8c02-c2fd4884cac7","keyframes":{"opacity":[0,1]},"delay":300,"duration":1200,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-614e2e6d-99b3-4ab0-a22d-ab2aa2431c1c","keyframes":{"opacity":[0,1]},"delay":300,"duration":1200,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] Produced by: Analytics drift Designed by: Prathamesh Read more

Data Science Vs. Data Analytics

What is Data Science?

What is Data Analytics?

What is the Main Difference?

Data Science vs. Data Analytics: Tools Used

Data Science vs. Data Analytics: Job Role

What Career Should You Choose?

Stories

More

Top 10 AI Project Ideas for Beginners

Top Python Image Processing Libraries

See More

See More