O slideshow foi denunciado.
Seu SlideShare está sendo baixado. ×
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Carregando em…3
×

Confira estes a seguir

1 de 11 Anúncio
Anúncio

Mais Conteúdo rRelacionado

Diapositivos para si (20)

Semelhante a Data Science (20)

Anúncio

Mais recentes (20)

Data Science

  1. 1. What is Data Science?
  2. 2. AGENDA ● Evolution of Data ● Introduction to Data Science ● Facts for Data Science ● Data Sccience Careers and Salary
  3. 3. Evolution of Data From the early days of scratching numbers into papyrus, up to the modern day punching of numbers into a keyboard, Data Science has come a long way.The technology may have changed, the methods may also have changed, but what hasn’t changed going as far back past the industrial revolutions of the 19th and 20th centuries
  4. 4. The role of the Data Scientist has unequivocally evolved since the field of statistics of over 1200 years ago. Despite the term only existing since the turn of this century, it has already been labelled ‘The Sexiest Job of the 21st Century’, which understandably, has created a queue of applicants stretched around the block.
  5. 5. Introduction to Data Science Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills. In order to uncover useful intelligence for their organizations, data scientists must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process
  6. 6. Life Cycle
  7. 7. Facts of Data Science ● You do Not Need to be a Tech Savvy or Hold a PhD to Learn Data Science ● Data Science Competitions and Real Life Projects are Different ● More Data Does Not Always Mean More Accuracy ● Data Science Field has Different Roles, Not just Data Scientists ● Data Science is Not Meant Only For Large Organizations ● Data Science Needs Great Communication Skills
  8. 8. Careers and Average Salary ● Data Scientist Typical Job Requirements: Find, clean, and organize data for companies. Data scientists will need to be able to analyze large amounts of complex raw and processed information to find patterns that will benefit an organization and help drive strategic business decisions. Compared to data analysts, data scientists are much more technical. Average Salary: $139,840 ● Machine Learning Engineer Typical Job Requirements: Machine learning engineers create data funnels and deliver software solutions. They typically need strong statistics and programming skills, as well as a knowledge of software engineering. In addition to designing and building machine learning systems, they are also responsible for running tests and experiments to monitor the performance and functionality of such systems. Average Salary: $114,826
  9. 9. ● Applications Architect Typical Job Requirements: Track the behavior of applications used within a business and how they interact with each other and with users. Applications architects are focused on designing the architecture of applications as well, including building components like user interface and infrastructure. Average Salary: $113,757 ● Business Intelligence (BI) Developer Typical Job Requirements: BI developers design and develop strategies to assist business users in quickly finding the information they need to make better business decisions. Extremely data-savvy, they use BI tools or develop custom BI analytic applications to facilitate the end-users’ understanding of their systems Average Salary: $81,514
  10. 10. ● Statistician Typical Job Requirements: Statisticians work to collect, analyze, and interpret data in order to identify trends and relationships which can be used to inform organizational decision-making. Additionally, the daily responsibilities of statisticians often include design data collection processes, communicating findings to stakeholders, and advising organizational strategy. Average Salary: $76,884 ● Data Analyst Typical Job Requirements: Transform and manipulate large data sets to suit the desired analysis for companies. For many companies, this role can also include tracking web analytics and analyzing A/B testing. Data analysts also aid in the decision-making process by preparing reports for organizational leaders which effectively communicate trends and insights gleaned from their analysis. Average Salary: $62, 453
  11. 11. THANK YOU!! For more visit us at:3RI Technologies

×