Day: July 4, 2020

Python tutorials for Business Analyst – Python Variables, Constants and Literals

(Python Tutorial – 004) Python Variables, Constants and Literals In this tutorial, you will learn about Python variables, constants, literals and their use cases. End-to-End Applied Machine Learning and Data Science Recipes Python Variables A variable is a named location used to store data in the memory. It is helpful to think of variables as …

DNA Sequencing Definition with Example

 DNA Sequencing Definition DNA sequencing is the process of determining the sequence of nucleotides within a DNA molecule. Every organism’s DNA consists of a unique sequence of nucleotides. Determining the sequence can help scientists compare DNA between organisms, which can help show how the organisms are related. DNA Sequencing Overview This means that by sequencing a stretch …

Introduction to RNA Sequencing

Introduction to RNA Sequencing RNA sequencing (RNA-Seq) is revolutionizing the study of the transcriptome. A highly sensitive and accurate tool for measuring expression across the transcriptome, it is providing researchers with visibility into previously undetected changes occurring in disease states, in response to therapeutics, under different environmental conditions, and across a broad range of other …

Python tutorials for Business Analyst – Python Keywords and Identifiers

(Python Tutorial – 003) Python Keywords and Identifiers In this tutorial, you will learn about keywords (reserved words in Python) and identifiers (names given to variables, functions, etc.). Python Keywords Keywords are the reserved words in Python. We cannot use a keyword as a variable name, function name or any other identifier. They are used to define the syntax …

Data Science vs. Data Analytics vs. Machine Learning – What are the difference among them?

 Data Science vs. Data Analytics vs. Machine Learning Data science, analytics, and machine learning are growing at an astronomical rate and companies are now looking for professionals who can sift through the goldmine of data and help them drive swift business decisions efficiently. IBM predicts that by 2020, the number of jobs for all U.S. data professionals …