Most asked Big Data Questions

Most asked Big Data Questions
Welcome to the Most asked Big Data Questions. Today we will cover some basic topics on SQL, Python, Machine learning and Case Study. Let’s get started with the Most asked Big Data Questions.

Videos to cover for Most asked Big Data Questions:

• In this section you will learn about Factorial and Armstrong  in Python. Factorial and armstrong numbers are special numbers in mathematics and this will enhance your skills in python.
• For today’s sql lesson you should watch LAG() and LEAD() in SQL. In this video you will learn about LAG and LEAD functions in sql.
• Uniform and Logistic Distribution in Python| Part 8 | Complete Python Numpy Tutorial | The Data Monk. Watch this video to learn about uniform and logistic distribution in python.
• About today’s Machine learning work, watch Learn LSTM model in 30 minutes with complete code and theory that will teach you about the LSTM model with the complete code and theory.
• Next you are recommended to watch How Spotify Suggests Songs? Analytics/MBA Case Study | The Data Monk. This video will give you an insight of how your learnings are being used in the market for better outcomes.

To check your learnings head to:

• What is Scope Resolution in Python?
• What is the output of the below program?
• Define RDBMS and give example, also define the difference between Data Ware house and Database
• Explain the working of Map and Hash Map in Python
• How do you create a sample data of 1000 rows from a population of 1 million rows and 100 columns

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The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it

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