Data Science Frequently Asked Questions & Answers


1. What is Data science, and why is it in demand?

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge, and focuses insights from data through a broad range of application domains. Data science is related to big data, machine learning and data mining. The discipline draws from several other fields such as mathematics, statistics, computer science, and information science.

Several fields have made use of data science with big data and AI in healthcare management, military, security, advertisement and marketing, transportation, and finance. These are some areas that make use of data science. The need for data scientist is constantly increasing owing to the huge demand and large amount of data being generated every year considering a Data science bootcamp is a good investment.

2. What is the job of a data scientist?

The job of a data scientist can be anything related to maths or statistics. The daily job role would involve:
  • Defining business problems and opportunities.
  • Altering data to solve problems.
  • Modelling and testing to offer business solutions and coding with which selected solutions are executed.
When coding data science, use different languages for data science and analysis.

3. How does data science as discipline benefit enterprises?

By using data science, firms can gain a variety of financial and business-related benefits, according to short or long-term goals and needs. Data science on a large scale can offer several benefits such as:
  • Supply and purchase optimisation
  • Employee satisfaction
  • Understanding and fulfilment of customer needs.
  • Precise forecast of key business figures

4. Does data science have a future?

There is an increasing automation in data science, and is not going to slow down in the coming years. In the past, statisticians used to design predictive models manually and readjust them again and again. With data science program a machine based on multiple parameters for finding the best possible business solutions to an issue. With large amount of data and complex business issues make it difficult without applying concepts of data science. So, data science is here to stay for a long time.

5. What are Data science job prospects like?

Data science is a widely popular field with numerous job prospects. Some of the major names hiring data scientists are Intel, Microsoft, Pinterest, and Oracle are always on a hiring spree. The average Data science salary in the US is around $116,654 annually. There are numerous data science roles, data scientist, analyst, data engineer and so on. As more and more firms are just getting started on their data journey, the demand is expected to increase in the next few years.

6. What skills and qualities do employers look for in a data scientist?

Some of the skills employers are looking for in Data scientists:
  • Able to code and have good problem-solving and analysis skills.
  • Should be good with stats and building testing and deploying models.
  • Communication skills, team leader and analytical skills.

7. Do I need to learn algorithms and data structures for a data science interview?

Surely. In numerous data science bootcamp interviews for ML scientists, data scientists, ML Engineer, and Data Engineer have coding round and an algorithms round. So preparing algorithms and data structures is necessary. Some analyst interviews, such as data analyst and business analyst, would not have algorithms and data structures round, but if you wish to have a rewarding career, then data science training is the way forward.

8. How proficient should a data scientist be in coding?

One is required to be confident in coding as data scientists are developer at large. One is expected to have the basic skills of a developer, including understanding algorithms and data structures and understanding and writing clean, efficient, well-documented code. In several cases, data scientist is expected to write production-ready code and decipher the deployment process. Coding in many cases is required for decision support.

9. What is the mathematical background required for a data scientist?

One must have a mathematical background and conceptual knowledge in linear algebra, probability, statistics, calculus, and optimization.

10. What are the various modules covered in a data scientist bootcamp?

Usually, a data science bootcamp would cover the following areas:
  • Introduction to data science with Python
  • Python introduction and data structures
  • Numerical Python and Pandas data analysis
  • Matplotlib and Seaborn Data visualization
  • Data Manipulation- Cleaning and Munging
  • Data Analysis
  • Introduction to Artificial Intelligence and Machine learning
  • Machine learning techniques and algorithms
  • Naive Bayes and KNN algorithm
  • Model Deployment and Tableau
  • Statistics and Data exploration
  • Time series analysis and Deep learning
  • Natural Language Processing and text mining
  • Market Basket Analysis
So, investing in a Data science training in the Bay area can help get hold of the concepts and begin a fruitful career.

11. What are some others areas that Data Science Bootcamp can help you in?

  • There are numerous areas where data science bootcamp can assist you in other than training:
  • Preparing one in theoretical topics along with advanced concepts
  • Assisting in job search and resume assistance
  • Portfolio updation and Data science interview practice sessions

12. Do I need to be good at programming to succeed as a data scientist?

One needs to be proficient in programming and familiar with base Python and operations, machine learning libraries like Pandas, Scikit, Numpy. One should be able to smooth writing custom functions, generators, and others. If you don’t know how to optimize code, one is still expected to transform your well-thought operations in the form of regulation. Considering a Data science training in California can be a wise option to learn all aspects of Data Science. Further, you would be able to get through Data science certification, which is beneficial for getting your dream job.

So by considering Data Science training in Bay area one can be ready for a productive career in the profession.

Location: United States

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