Analytics Steps

A data definition language (DDL) is a programming language that is used to define and alter the structure of database items. Views, schemas, tables, and indexes are examples of database objects.

PESTLE analysis sometimes referred to as PEST analysis, is a concept in marketing principles. This concept is used as a tool by organizations to keep a track of the external factors impacting the organization.

Most of the wealthy people consider taking help from firms that specialize in wealth management. These wealth management companies update the owner about market trends and advise them about different investments in shares that they could make in order to experience profit.

According to the definition, “Inflation is the rate at which the general level of prices for goods and services is rising and, in the opposite, the purchasing power of currency is falling”.

For testing the hypotheses various test statistics are performed, such as t-test and z-test, and that will be the main course of discussion during the blog.

A very popular term nowadays, M-commerce or Mobile commerce basically means conducting online activities like buying and selling of goods and services, doing transactions, paying several bills etc.

Businesses, nowadays, rely heavily on big data to gain better knowledge about their customers. The process of extracting meaningful insights from such raw big data is reckoned as big data analytics.

In statistical data analysis, the independent variable has an effect on the dependent variable. For example, lack of exercises can lead to weight gain where lack of exercise is independent and weight gain is dependent variable. There can be other influencing factors as well that might affect the dependent variable, known as “Confounding Variable”.

Elasticity of Demand, on the other hand, specifically measures the effect of change in an economic variable on the quantity demanded of a product. There are several factors that affect the quantity demanded for a product such as the income levels of people, price of the product, price of other products in the segment, and various others.

There are different types of elasticity. Each of these explains the effect of changes on a specific variable. When we discuss the subject of economics, two of the most talked-about terms are- demand and supply.

Machine learning is the core of much futuristic technological advancement in our world, today you can see various examples or implementation of machine learning around us such as Apple series, Tesla’s self-driving car, Sophia AI robot and many more are there.

Deep learning is a subset function of AI that imitates the functioning of the human brain and borrows the skill of processing data for use in detecting objects, recognizing speech, translating languages, and making decisions. It is a type of machine learning that works based on the structure and functioning of the human brain.

SQL is a computer language that gives orders or instructions to the database. If you want to create a database, store data, update/delete, there are different commands known as SQL. All RDBMS use SQL as standard database language.

Technologies like Artificial Intelligence (AI), Machine Learning (ML), the Internet of Things (IoT), and Deep Learning are helping humans to get their tasks done with the least effort.

The history of the ANOVA test dates back to the year 1918. It’s a concept that Sir Ronald Fisher gave out and so it is also called the Fisher Analysis of Variance.

A support vector machine is a very important and versatile machine learning algorithm, it is capable of doing linear and nonlinear classification, regression and outlier detection.

Cybersecurity, Cloud Computing, Electric Vehicles, and Artificial Intelligence are the ruling industries of 2021. Companies that are providing services in the above mentioned domains will be ruling the year 2022 as well. Following are the companies that might turn their investors into millionaires in the upcoming years.