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Business Analytics What is Descriptive Analytics and Why a Data-Driven World Needs it In the wake of global connectivity and unprecedented digitization, modern society generates an abundance of data each day. 1.145 trillion MB of data is created…
Data Science What are Quantitative Techniques: Importance, Challenges, and Practical Applications In the pursuit of success, informed decision-making anchored in facts and data is imperative for businesses across industries. Amidst the vast sea of information, quantitative…
Data Science What is Big Data? Let’s Analyze its Rise and Implications The big data market is valued at a whopping US $103 billion. Analyzing infinite data streams allows businesses to make informed, logical decisions. A holistic…
Data Analytics A Deep Dive Into Data Lakes: 7 Best Practices for Data Management Given the wave of digitization across industries, data plays a crucial role in shaping businesses. It is the backbone of decision-making processes and a driving…
Data Analytics What is a Database? A Comprehensive Guide to Various Types of Databases Data is the cornerstone of all modern enterprise. Yet, data by itself has no value; it must be structured and interpreted to draw conclusions that…
Data Science Data Warehousing: Why it is Uber Popular in the Industry in 2022 and Beyond Cloud computing has changed the way we do business. The ability to store, retrieve and analyze data has revolutionized modern business practices. Data has become…
Data Science 9 Ways to Distinguish Between Data Mining and Machine Learning The overlapping methods and applications involved in data mining and Machine Learning (ML) often make the terms, wrongly, interchangeably used. These are widely different concepts,…
Data Science What is Data Mining and How to Make a Good Career in it Data mining is a valuable process that helps businesses pave the path to success. It involves a unique set of practices that can collectively streamline…
Data Science What is a Data Modeler and is it a Good Career Choice? With a projected 9% increase in employment opportunities between the years 2021 and 2031, a data modeler is one of the highest in-demand roles in…
Data Analytics Top 4 Common Mistakes in Data Analysis & Best Practices for A/B Testing It is a given that common mistakes in data analysis often stem from overlooked details and assumptions. These errors can significantly skew results, leading to…
Data Science 4 Best Practices for Data Visualization in Matplotlib Data is a currency that can help organizations scale massively. However, with tools collecting vast amounts of data every nanosecond, organizations face the difficulty of…