Big data interview preparation – 13/30

Big data interview preparation

Welcome to the Big data interview preparation. Today we will cover some basic topics on SQL, Python, Machine learning and Data visualization. Let’s get started with the Big data interview preparation.

Main requirements of a Big data Job are:

1. Programming
2. Data analysis tools
3. Statistics
4. Machine learning
5. Data visualization tools

Videos to cover for Data Scientist Interview Questions :

• Now, for learning programming you may head to the Largest element using 3 methods in Python | Part 16 |Code in Python for Data Science | The Data Monk. Here you will learn about a finding largest element using 3 methods in python and its applications.
• For covering today’s data analytics tools, which are really important as well as helpful in the life of a data scientist, you can watch All the Keys in SQL | Part 11 | Data Science Interview Questions where you will learn about all the keys in SQL and functions and applications of the all the keys.
• For statistics learn from Probability Distribution in Statistics | Part 10 | Complete Statistics Tutorial | The Data Monk. In this tutorial you will learn about the Probability distribution in statistics.
• Refer to Random Forest Adaboost Theory and Code in Python | Part 5 | Machine Learning in Python|The Data Monk to learn about the Random Forest Adaboost Theory, its code and underlying concepts in depth.
• Now for leaning visualization you can see Heat Map Facet Grid in Python| Part 11| Visualization in Python | The Data Monk where you will continue to learn about Visualization using python from the last article.

To check your learnings head to:

1. Suppose you have 10 samples, where 8 are positive and 2 are negative, how to calculate Entropy (important to know)
2. Suppose you have 10 samples, where 8 are positive and 2 are negative, how to calculate Entropy (important to know)
3. Statistics Basics
4. Statistics Basics 2 | Interview Question
5. Statistics Basics 3 | Interview Question

• Python – https://thedatamonk.com/python-questions-for-data-science-interviews/
• Case Study – https://thedatamonk.com/case-study-for-data-science-interviews
• SQL – https://thedatamonk.com/sql-interview-questions-for-analyst/
• Machine Learning – https://thedatamonk.com/most-asked-machine-learning-questions/
• Statistics – https://thedatamonk.com/statistics-data-science-interview-questions-%ef%bb%bf/
• R – https://thedatamonk.com/r-interview-questions
• Interview – https://thedatamonk.com/analytics-interview-questions/
• Buy e-books – https://thedatamonk.com/buy-e-books/
• Become a Data Scientist – https://thedatamonk.com/how-to-become-a-data-scientist/
• Testimonial – https://thedatamonk.com/the-data-monk/
• Live classes – https://thedatamonk.com/data-science-live-classes/
• Top articles – https://thedatamonk.com/data-science-resources/
• Internships – https://thedatamonk.com/internship/
• Daily quiz – https://thedatamonk.com/daily-quiz/
• Add question – https://thedatamonk.com/add-question/
• MCQ quiz – https://thedatamonk.com/mcq-quiz/

Youtube Channel – https://thedatamonk.com/youtube-videos-for-data-science-interviews/
For any help, issues, resume overview, buying books, reviewing courses, etc. You can email us at [email protected] or [email protected]

The Data Monk Interview Books – Don’t Miss

Now we are also available on our website where you can directly download the PDF of the topic you are interested in. At Amazon, each book costs ~299, on our website we have put it at a 60-80% discount. There are ~4000 solved interview questions prepared for you.

10 e-book bundle with 1400 interview questions spread across SQL, Python, Statistics, Case Studies, and Machine Learning Algorithms – Ideal for 0-3 years experienced candidates

23 E-book with ~2000 interview questions spread across AWS, SQL, Python, 10+ ML algorithms, MS Excel, and Case Studies – Complete Package for someone between 0 to 8 years of experience (The above 10 e-book bundle has a completely different set of e-books)

12 E-books for 12 Machine Learning algorithms with 1000+ interview questions – For those candidates who want to include any Machine Learning Algorithm in their resume and to learn/revise the important concepts. These 12 e-books are a part of the 23 e-book package

Individual 50+ e-books on separate topics

Important Resources to crack interviews (Mostly Free)

There are a few things which might be very useful for your preparation

The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews for Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics Manager, etc.
Go through the watchlist which makes you uncomfortable:-

All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics