Question 1

What is the eligibility criteria to become a data scientist?

Accepted Answer

To work as a data scientist, you must have an undergraduate or a postgraduate degree in a relevant discipline, such as Computer science, Business information systems, Economics, Information Management, Mathematics, or Statistics.

Question 2

Which are the Top Platforms to Learn Data Science and Machine Learning?

Accepted Answer

Some popular platforms are Coursera, Udemy, edX, Kaggle, DataCamp, Udacity, Edureka, etc.

Question 3

What are the best resources to learn how to use Python for Machine Learning and Data Science?

Accepted Answer

You can learn Python through tutorials that cover concepts from beginner to advanced levels. Multiple eLearning portals provide such tutorials. You can learn Python from Books, tutorials, from MOOCs, from Paid classroom courses, from YouTube and also from live Applications. However, you cannot become a good data scientist by just learning Python. You should master Data Science with Python which covers programming with Python, Database Technologies, a good hold on Mathematics and Statistical principles as well as Machine Learning with Python. You should also be good with Information Retrieval

Question 4

Which are the top industries hiring data scientists?

Accepted Answer

Some of the most popular recruiters for data scientists are - BFSI, Public Health, Telecommunications; Energy; Automotive; Media & Entertainment; Retail, etc.

Question 5

Which are the best data science courses available online?

Accepted Answer

https://learning.naukri.com/executive-data-science-specialization-course-courl402; https://learning.naukri.com/the-data-scientists-toolbox-course-courl468; https://learning.naukri.com/launching-machine-learning-delivering-operational-success-with-gold-standard-ml-leadership-course-courl509; https://learning.naukri.com/simplilearn-data-scientist-masters-program-course-sl02https://learning.naukri.com/data-science-machine-learning-course-edxl236; https://learning.naukri.com/python-for-data-science-and-machine-learning-bootcamp-course-udeml455

Question 6

Is data science a good career?

Accepted Answer

Data Science is the fastest-growing job on LinkedIn and is speculated to create 11.5 million jobs by 2026. Employment opportunities are available across different industries and are among the highest paying jobs across the globe, making it a very lucrative career option.

Question 7

What are the major job responsibilities of a data scientist?

Accepted Answer

The common job responsibilities of a data scientist are - Enhancing data collection procedures for building analytic systems; Processing, cleaning, and verifying the integrity of data; Creating automated anomaly detection systems and track their performance; Digging data from primary and secondary sources; Performing data analysis and interpret results using standard statistical methodologies; Ensuring clear data visualizations for management; Designing, creating and maintaining relevant and useful databases and data systems; Creating data dashboards, graphs, and visualizations; etc.

Question 8

How should I pursue a career in Machine Learning?

Accepted Answer

To pursue a career in machine learning, you need to be equally skilful in any programming language like Python or R, mathematics, data analysis tools, and database management. Usually, it is advisable to start learning the fundamentals of data analysis with a programming language, then gradually move into machine learning.

Question 9

What technical skills I must have to become a data scientist?

Accepted Answer

Knowledge of Python Coding, Hadoop, Hive, BigQuery, AWS, Spark, SQL Database/Coding, Apache Spark, among others; Knowledge of Statistical methods and packages; Working experience with Machine Learning, Multivariable Calculus & Linear Algebra; Ability to write codes and manage big data chunks; Hands-on experience with real-time data and cloud computing; Ability to use automated tools and open-source software; Knowledge of Data warehousing and business intelligence platforms

Question 10

How to become a data scientist?

Accepted Answer

To become a data scientist, you should - Pursue an internship with any Data Science firm; Take up any online Data Science course, and courses that teach Statistics, Probability, and Linear Algebra; Learn about the basics of Natural Language Processing, Information Extraction, Computer Vision, Bioinformatics, and Speech Processing, etc.; Explore Optimization, Information Theory, and Decision Theory; Obtain any professional certification; Try managing databases, analyzing data, or designing the databases

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