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Career in Data Science

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Career in Data Science

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Data Science is a form of science that focuses on dealing with huge chunks of data by using modern data analysis tools and techniques to discover hidden patterns, meaningful insights, and make critical business decisions.
A Data Science professional has to utilize complicated machine learning algorithms to develop predictive models. There could be multiple sources present in different formats used in data analysis.

Data Science is a form of science that focuses on dealing with huge chunks of data by using modern data analysis tools and techniques to discover hidden patterns, meaningful insights, and make critical business decisions.
A Data Science professional has to utilize complicated machine learning algorithms to develop predictive models. There could be multiple sources present in different formats used in data analysis.

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Career in Data Science

  1. 1. CAREER IN DATA SCIENCE
  2. 2. What is Data Science? UNDERSTANDING DATA SCIENCE Data Science is a form of science that focuses on dealing with huge chunks of data by using modern data analysis tools and techniques to discover hidden patterns, meaningful insights, and make critical business decisions. A Data Science professional has to utilize complicated machine learning algorithms to develop predictive models. There could be multiple sources present in different formats used in data analysis. DATA IS THE NEW OIL Data is the new oil of the 21st century because it is an untapped valuable asset. It enables improved decision making, pattern discovery, and predictive analysis. It can help scientists to discover the main reason for a problem by asking the right questions. Data Scientists can perform an exploratory study on huge sets of data. They can also model the data by leveraging various algorithms.  The USA is at the forefront of the data science market  By 2025, the Data Science industry is expected to grow exponentially, reaching $16 billion  Data Scientists are expected to earn more than the average IT workforce www.lset.uk
  3. 3. Data Empowers Business Decisions “Accuracy is always better than assumptions” www.lset.uk
  4. 4. Who is a Data Scientist? Data Scientists are the masters of handling big data.
  5. 5. Job Roles and Responsibilities  Work with an organization to discover issues and leverage data for effective decision making  Develop algorithms and conduct experiments to supply reports to the organization and customers  Utilize statistical techniques and machine learning to provide innovative solutions to problems  Assess the genuineness of data sources and data- gathering techniques  Look for unexplored opportunities to use datasets/insights/models  Align with the organization’s data science strategy  Help in developing relations with clients with the help of data www.lset.uk
  6. 6. Data Analytics Data scientists use their technical and social science skills to discover trends and manage data as analytics experts. www.lset.uk
  7. 7. What are the Steps to Become a Data Scientist? Make up your Mind A career in data science isn’t going to be easy. You should only pursue this field if you have made up your mind to handle the complicated challenges. Consider a Specialization You need to develop a specialization in a particular industry to expect better earning opportunities. Start Exploring the Required Skills You have to become familiar with the necessary skills to become a data scientist. It includes a lot of tools and techniques. Enrol to the London School of Emerging Technology LSET provides the best project- based and interactive data science certification course to learn data science. Get an Entry-Level Job Get your first job, consider a company where will have a lot of room for growth. You will learn to work with a team. Explore Additional Projects Your quest to learn data science should never end. Try to indulge yourself in new projects after working hours to learn more. www.lset.uk
  8. 8. The Technical Skillset Required to Become a Data Scientist 1 3 5 6 4 2 Knowledge of Database Statistics Machine Learning Programming Tools Data Wrangling Data Visualization Big Data www.lset.uk
  9. 9. The Non Technical Skills Required to Become a Data Scientist 1 3 2 Intellectual Curiosity Communication Skills Team Work 4 Business Accumen www.lset.uk
  10. 10. Diverse Career Options Apart from being a Data Scientist, there are numerous other career options in data science that you can pursue. www.lset.uk
  11. 11. Data Analyst This professional has to execute queries on the database. She/he also modifies algorithms used for reducing information from huge databases. Languages: www.lset.uk
  12. 12. Data Architect This professional has the responsibility to ensure that data engineers have the most useful tools and system to start working with data. Languages: www.lset.uk
  13. 13. Data Engineer This professional has the responsibility to update the current systems with the improved version of the latest technologies in order to improve the overall efficiency of the databases. Languages: www.lset.uk
  14. 14. Statistician This professional has the responsibility to develop the latest methodologies for engineers to work with Languages: www.lset.uk
  15. 15. Database Adminstrator This professional has the responsibility to monitor, operate, and maintain databases. S/he also works to install, configure, define schemas, train users, and more. www.lset.uk
  16. 16. Data & Analytics Manager This professional has the responsibility of improving the business process as a bridge between business and IT www.lset.uk
  17. 17. Enrol to LSET’s Data Science Certification Course Project-Based Learning Flexible Timings Updated Curriculum with the Latest Technologies Individual Attention www.lset.uk
  18. 18. THANK YOU! 41 Lothbury London EC2R 7HF, UK Phone: +44 (0) 20 3369 9909 Email: admission@lset.uk UKPRN: 10086956 ICO Registration Number: ZA785537 www.lset.uk Contact US

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