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Data Scientist

“Extract meaningful insights from data.”

Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. A data scientist’s role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations.

Data scientists are analytical experts who utilize their skills in both technology and social science to find trends and manage data. They use industry knowledge, contextual understanding, scepticism of existing assumptions – to uncover solutions to business challenges.

A data scientist’s work typically involves making sense of messy, unstructured data, from sources such as smart devices, social media feeds, and emails that don’t neatly fit into a database.

  1. Computer Science

  2. Computers

  3. Electronics & Communication

  4. Machine Learning

  5. Programming languages like R

  6. Python

  7. Statistics

  1. Analytical Skills

  2. Attention to Detail

  3. Critical Thinking

  4. Information Research & Analysis

  5. Knowledge of IT Software

  6. Mathematical Ability

  7. Problem-solving skills

  8. Statistical terms and concepts

  1. Degrees, Programs & Top Indian Colleges

  2. Bachelor's Degree Course (4 years): B-Tech Any Stream

    When it comes to engineering education in India, aspirants have many engineering branches to choose from. Some of the popular engineering courses available in India include- Mechanical Engineering, Civil Engineering, Electrical Engineering, EC Engineering, IC Engineering, Mechatronics Engineering, Mining Engineering, Chemical Engineering etc.

  3. Master's Degree Course (2 years): M-Tech

    Candidates who have passed B.Tech/ B.E from any branch is eligible for admission in M.Tech Data Science. Candidates who have passed MCA/ M.Sc in Statistics can also take admission in this programme.

  4. Top Indian Colleges to study Data Science

    1.Indian Institute of Information Technology and Management – Kerala (IITM-K) 2.Indian Institute of Science, Bangalore 3.PSG College Coimbatore 4.IIM Calcutta 5.IIT Hyderabad 6.IIIT Delhi 7.IIM Bangalore 8.School of Management Studies, University of Hyderabad

  1. Data Science is a way to a bright future!

    A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician”. – Josh Wills on the difference between data scientists and statisticians On any given day, a data scientist’s responsibilities may include: Solving business problems through undirected research and framing open-ended industry questions Extract huge volumes of structured and unstructured data. They query structured data from relational databases using programming languages such as SQL. They gather unstructured data through web scraping, APIs, and surveys. Employ sophisticated analytical methods, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling Thoroughly clean data to discard irrelevant information and prepare the data for preprocessing and modeling Perform exploratory data analysis (EDA) to determine how to handle missing data and to look for trends and/or opportunities Discovering new algorithms to solve problems and build programs to automate repetitive work Communicate predictions and findings to management and IT departments through effective data visualizations and reports Recommend cost-effective changes to existing procedures and strategies. Every company will have a different take on data science job tasks. Some treat their data scientists as data analysts or combine their duties with data engineers; others need top-level analytics experts skilled in intense machine learning and data visualizations.

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