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How does data science affect the business world?

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Adding data science to your business practices can make a marked difference in productivity, decision-making, and product development. It can help you minimize or eradicate the risk of fraud and error, increase efficiency, and provide better customer service.
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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Data science helps businesses make smarter decisions by analyzing data. It improves customer service by personalizing experiences, boosts efficiency by optimizing operations, and saves money. It also provides insights into market trends, helping companies create better products and marketing strategies....
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Data science helps businesses make smarter decisions by analyzing data. It improves customer service by personalizing experiences, boosts efficiency by optimizing operations, and saves money. It also provides insights into market trends, helping companies create better products and marketing strategies. Additionally, data science identifies risks and fraud, enhancing security and reducing losses. read less
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Machine Learning Maestro: Crafting Insights with 10+ Years of Expertise

Data science revolutionizes the business world by enabling data-driven decision-making. It enhances operational efficiency, predicts market trends, and identifies customer preferences through advanced analytics and machine learning. Businesses leverage data science to optimize marketing strategies, streamline...
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Data science revolutionizes the business world by enabling data-driven decision-making. It enhances operational efficiency, predicts market trends, and identifies customer preferences through advanced analytics and machine learning. Businesses leverage data science to optimize marketing strategies, streamline supply chains, and improve customer service. It also aids in risk management by predicting potential issues and providing actionable insights. Ultimately, data science fosters innovation, boosts profitability, and provides a competitive edge in the market. read less
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Passionate Assistant Professor in Mathematics

Datascientist work with the data, the trends can be analysed, and the future can be predicted. In business world if the profit graph is going done what is the next step to be taken, what measures are to done to make profits. It gives a future insights.
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I want to get into data science but I dont have any prior knowledge on any of the programing languages, how do I go about it?

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Likith
Hi, currently I am working as associate systems engineer. But I am really interested in data science. How can I become a data scientist. Please suggest me a path.
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I want to learn data science in home itself bcz i dont want much time to take any coaching and also most of the institutes are asking high amount for  training. Pease lemme know how i can prepare myself.

First of all you start leaning following. 1.Database(Sql,Nosql) 2 Python,Pandas,Numpy 3 Basic Linux,Big Data(Hadoop,Scala,Spark) 4. Machine Learning 5. Deep Learning
Vishal

Is that possible to do machine learning and Data science course after B.com, MBA Finance and marketing students and how is career growth? 

People from any background can learn Machine Learning & Data Science concepts. But all it requires is you need to stay focus and continuous practice. It can be applied in any domain like Finance, Marketing,...
Priya
I have 2+ yrs working experience in BI domain. Can I pursue Data science for a job change? Will I get Job opportunity as per my experience or not in field of data science? R or python what to chose?
Hi Asish you can choose R or Python selecting programming tools is not criteria learning Deep Analytics is most important you should focus on Mathematicsfor (classification algorithms) statistics(EDA...
Asish
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