Sanjeet Singh
Bio
As a Digital Marketing professional, I specialize in both technical and non-technical writing. My insatiable passion for learning drives me to explore diverse fields such as lifestyle, education, and technology.
Stories (16)
Filter by community
The top Data Science and Business Intelligence trends to look for in 2025
As we move further into 2025, the fields of data science and business intelligence (BI) continue to evolve rapidly, driven by technological advancements and changing business needs. Here are some of the top trends to watch for this year:
By Sanjeet Singh9 months ago in Education
The Role of ChatGPT in Modern Data Science: Learn with Prompts & Responses
Data science has become a cornerstone of decision-making across various industries, such as healthcare, finance, marketing, and technology. Professionals in this field utilize data analysis, statistical models, and machine learning techniques to extract insights that inform strategic decisions. As data complexity increases and AI technologies rapidly advance, tools like ChatGPT have emerged as valuable assets in modern data science.
By Sanjeet Singh10 months ago in Education
How AI and ML Will Reshape Data Science in 2025?
The world of data science has undergone significant transformations over the past decade, largely driven by the rise of Artificial Intelligence (AI) and Machine Learning (ML). As we approach 2025, these technologies are poised to further shape the future of data science in ways once considered unimaginable. This article will explore how AI and ML will continue to revolutionize data science by 2025, impacting everything from data processing and analytics to decision-making and automation.
By Sanjeet Singh11 months ago in Education
Top Tools Every Full Stack Developer Should Learn This Year
As the tech world continues to evolve rapidly, full-stack developers must stay current with the latest tools and technologies to remain competitive and efficient. Full-stack developers are responsible for building both the front-end and back-end of applications, which requires proficiency in various languages, frameworks, libraries, and tools. In 2025, the demand for developers who can manage everything from user interfaces to server management is higher than ever. Here’s a breakdown of the top tools that every full-stack developer should consider learning this year:
By Sanjeet Singh11 months ago in Education
How Data Analytics Training Can Propel Your Career to New Heights
Data analytics has emerged as one of the most in-demand skills in today's job market. With businesses increasingly relying on data to make informed decisions, professionals with expertise in this field are highly sought after. If you're looking to advance your career, data analytics training could be the game-changer you need.
By Sanjeet Singh12 months ago in Education
Top Frameworks and Libraries Every Full Stack Developer Should Know
Full stack development involves working with both front-end and back-end technologies, enabling developers to create complete web applications from start to finish. To be efficient and stay current with industry trends, full-stack developers need to be familiar with various frameworks and libraries that simplify development, enhance functionality, and improve performance.
By Sanjeet Singhabout a year ago in Education
Is Automation Testing the Future of Quality Assurance?
The world of software development is continuously evolving, and so is the field of Quality Assurance (QA). Traditionally, manual testing was the standard method for ensuring that software products met the required standards for functionality, performance, and security. However, with the increasing demand for faster releases and high-quality products, automation testing has emerged as a game-changer. This shift has led many to question: Is automation testing the future of quality assurance?
By Sanjeet Singhabout a year ago in Education
A discussion of predictive analytics and its applications and modelling
Introduction to Predictive Analytics Predictive analytics is a branch of advanced analytics that uses historical data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical trends. By analyzing patterns and relationships within data, predictive analytics empowers organizations to make informed decisions, improve operational efficiency, and enhance customer experiences. In today’s data-driven world, where vast amounts of data are generated every second, the ability to predict future events has become a strategic advantage for businesses across various sectors, including finance, healthcare, marketing, and supply chain management.
By Sanjeet Singhabout a year ago in Education
Revealing Insights: Developing Hypotheses through Exploratory Data Analysis
Understanding Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA) is a critical step in the data science process. It involves summarising and visualising data to uncover patterns, trends, and anomalies. EDA is not just about collecting data; it's about asking questions, exploring relationships, and gaining insights that can guide further analysis and decision-making.
By Sanjeet Singhabout a year ago in Education
Statistical Sleuths: Unravelling Mysteries with Data
In the vast ocean of information that surrounds us, data is the hidden treasure waiting to be discovered. Statistical sleuths are the modern-day detectives who use their analytical skills to extract valuable insights from this treasure trove. They employ a variety of statistical techniques to uncover patterns, trends, and relationships that would otherwise remain obscured.
By Sanjeet Singhabout a year ago in Education
Data Analytics Tools and Software: A Comprehensive Overview
Software called data analytics tools is made to assist companies in interpreting vast volumes of data. To identify patterns, trends, and relationships that might not be immediately obvious, they sift through the data. These insights can assist businesses in making better decisions, getting a deeper understanding of their clients, and identifying new growth opportunities.
By Sanjeet Singhabout a year ago in Education
Understanding Inheritance and Polymorphism in Java
Understanding inheritance and polymorphism is essential for developing scalable, well-organised, and effective Java programming applications. Java programmers can create a hierarchical relationship between classes through inheritance, which makes it possible to reuse code and extend class behaviours in an organised way. However, polymorphism adds flexibility to the code by enabling methods to function differently depending on the environment in which they are called. This makes the code easier to read and maintain.
By Sanjeet Singhabout a year ago in Education
