Data Science

Data Science

1. What is Data Science ?

Data science is a “concept to unify statistics, data analysis and their related methods” in order to “understand and analyze actual phenomena” with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, domain knowledge and information science.

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, machine learning and big data

1. Why Data Science ?

Data is one of the important features of every organization because it helps business leaders to make decisions based on facts, statistical numbers and trends. Data science is an extension of various data analysis fields such as data mining, statistics, predictive analysis and many more.

Due to this growing scope of data, data science came into picture which is a multidisciplinary field. It uses scientific approaches, procedure, algorithms, and framework to extract the knowledge and insight from a huge amount of data. The extracted data can be either structured or unstructured. Data science is a concept to bring together ideas, data examination, Machine Learning, and their related strategies to comprehend and dissect genuine phenomena with data.

1. How to prepare for Data Science ?

How to Prepare for a Career in Data Science !

1. Programming. Programming language can help a candidate to clean, assemble, and organize an unstructured set of data. …
2. Statistics. A good understanding of statistics is essential as a data scientist. …
3. Machine Learning. …
4. Data Science is the Future.

Here’s the 7 Step Data Science Interview Process

1. Understand the Different Roles, Skills and Interviews.
2. Getting Ready for Interviews – Build your Digital Presence.
3. Prepare your Resume and Start Applying!
4. Telephonic Screening.
5. Getting through the Assignments.
6. In-Person Interaction(s)
7. Post-Interview Steps.

4.Important materials

a. E-books (links) (links Not Found )

Top 10 Free Ebooks To Learn Data Science

• Neural Networks and Deep Learning. Via RidgeWood. …
• Think Bayes. Via Amazon. …
• Statistical Learning with Sparsity: The Lasso and Generalizations. Via Standford.edu. …
• The Field Guide of Data Science. …
• The White Book of Data. …
• Machine Learning. …
• Beginners Guide to Analytics. …
• Data Science: Theories, Models, Algorithms, and Analytics.

b. Videos (links)

Sentdex – https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ

3Blue1Brown:

https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw

freeCodeCamp.org:

https://www.youtube.com/channel/UC8butISFwT-Wl7EV0hUK0BQ

Sample Test papers with answers

(Will Update till 10 PM)

6. Certifications on C Programming Language

(Will Update till 10 PM)

Important tips on C Programming Language

(Will Update till 10 PM)