Introduction To The Life Cycle Of Data Science

The Data Science Lifecycle is focused on the application of machine learning and various analytical methods to extract insights from data to achieve a company goal. The complete procedure includes several activities, such as data cleansing, preparation, modelling, and model evaluation. It is a time-consuming process that could take months to complete

The lifecycle of the data science process:

Business Understanding

The overall cycle revolves around the company's objectives. Considering that the study's ultimate...

Data Mining, Description, Modeling, And Visualization: Methods Of Data Science Process

Data science is a viral topic today. Never before in human history has there been so much data being gathered and stored so quickly. In addition, the type and volume of data are rising rapidly.
This article will give an overview of 4 data science steps: data mining, descriptive analysis, modeling, and visualization.
So let’s get started.

Explaining Data Mining, Description, Modeling, and Visualization

Data must first be collected, pre-processed, and stored...

How Much Is Math Necessary to Become a Data Scientist?

Have you thought about pursuing a career in data science but been turned off by the maths requirements?
While data science is based on a foundation of mathematics, the quantity of mathematics required to become a professional data scientist may be less than you expect.

There are three major topics in the data science area:

Calculus, linear algebra, and statistics are the popular topics commonly used when searching for data science maths...

Data Science as a Future Career

Data science is an exciting field today. As more companies rely on data-driven decision-making skills, the demand for people who can handle large amounts of data and make sense of it has increased.
According to a McKinsey Global Institute study, there will be a shortfall of approximately 2 lakh data scientists in the United States by 2028.

The shortfall is expected to worsen on a worldwide scale, particularly in consumer areas such as India. According to Glassdoor,...

Data Science Career: 7 Expectations vs Reality
The reality of what a data scientist actually does is far different from what people who are considering a career in data science assume. While some expectations are fulfilled, many new data scientists discover that their positions are not what they anticipated.
Expectation #1: The pay for data scientists is very high.
Expectation #2: Your business will benefit from your crucial insights.
Expectation #3:Algorithms, ML, and AI, are everything.
Expectation #4: Everything you need to know is available...