Data Science Advanced Analytics Interview Prep. Kit - 182+

A walkthrough from the essentials of 182+ data science interview questions from linear regression to advance analytics

4.63 (8 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Data Science Advanced Analytics Interview Prep. Kit - 182+
2,312
students
2.5 hours
content
Jun 2022
last update
FREE
regular price

What you will learn

Classifiers: Learn in depth confusing questions asked by the interviewers

Regression: Learn the internal mechanism of a regressor to answer the toughest questions

Clustering, Dimensionality Reduction, Wrapper function, Hypothesis Testing.

Probability, Joint Probability Distribution, estimators like likelihood, MLE, cumulative response curve.

Ranking algorithms, Power Analysis, Box Cox Transformation. TF/IDF vectorization, Eigenvalue and eigenvector

Law of large numbers, Drawbacks of Linear Model and more.

Description

The Course is Designed from scratch for Beginners as well as for Experts.

*Unlimited update on Questionnaires every month*.

*Updated with Bonus: Machine Learning, Deep Learning with Python - Premium Self Learning Resource Pack Free

Learn the skills of tomorrow, the silicon valley way

Focus on extracting insights from data of any form or shape using a multitude of statistical disciplines for the purpose of creating new products & services or improving the existing ones by predicting the probability in an event. And as the enormity of data is on the rise, there is a desperate need for professionals with data science skills to get valuable insights into it. According to NYTimes there are fewer than 10,000 qualified people in the world and universities are only graduating about 100 candidates each year.

Why data science is so important?

• Twitter Since 2015, the number of posts increased 45% to more than 850,000 tweets per minute. 

• YouTube usage has more than tripled in the last two years with users uploading 400 hours of new video each minute of every day.

• Instagram users like 2.5 million posts every minute! 

• Google Around 4 million Google searches are conducted worldwide each minute of every day. 

• Finally, data sent and received by mobile internet users 1500 000TB. 
So, with the above examples of how much data gets generated, now how many hidden insights and patterns for accurate future predictions that we can actually achieve by using data science.

According to Forbes, the annual demand for Data Scientist jobs in the United States itself will increase by 364 million by 2020.
The average salary for a Data Scientist is $170,436.

What is the career progression path for data science professionals?

• Data Scientist: with a vast knowledge of Data Science, Machine Learning, and Business Intelligence tools. Data Scientist stands high as Everest. 

• Data Analyst: in 2022, the world will generate data 50times more than now, and with each day that passes by the data generated is infinite with that to analyze those data, data analyst jobs will never have to see the face of recession. On LinkedIn itself, there are average 400 new jobs every 12 hours.

• Data Science Trainer: in this present date a lack of knowledge of these advanced data science techniques gives a vast opportunity to become the fountain of data science for others.

• Business analyst: with the role of defining and managing the business requirements, the business analyst takes the lead in every business decision-making process of the organization.

Content

Introduction

Introduction
Data Science Interview Q’s — I. 38Questions
Data Science Interview Q’s — II. 28Questions
Data Science Interview Q’s — III. 35Questions
Data Science Interview Q’s — IV. 36Questions
Data Science Interview Q’s — V.37Questions

Bootcamp:- A - Z Data Science Course

Scribd Link
SlideShare
Data Science Bootcamp: Types of probability distribution. Lab 1
Data Science Bootcamp: Types of probability distribution. Lab 2
Data Science Bootcamp: Types of probability distribution. Lab 3
Data Science Bootcamp: Types of probability distribution. Lab 4
Data Science Bootcamp: Hypothesis Testing - Lab. I
Data Science Bootcamp: Hypothesis Testing - Lab. II
Data Science Bootcamp: Hypothesis Testing II - Lab. I
Data Science Bootcamp: Hypothesis Testing II - Lab. II
Data Science Bootcamp: Multiple Sample Test - Lab. I
Data Science Bootcamp: Multiple Sample Test - Lab. II
Data Science Bootcamp: Multiple Sample Test - Lab. III
Data Science Bootcamp: Multiple Sample Test - Lab. IV
Neural Network using excel
Python Premium Learning Pack

Charts

Price

Data Science Advanced Analytics Interview Prep. Kit - 182+ - Price chart

Rating

Data Science Advanced Analytics Interview Prep. Kit - 182+ - Ratings chart

Enrollment distribution

Data Science Advanced Analytics Interview Prep. Kit - 182+ - Distribution chart
4719078
udemy ID
6/5/2022
course created date
6/16/2022
course indexed date
Bot
course submited by