Data science is an interdisciplinary field that involves extracting insights and knowledge from data through various techniques, including statistical analysis, machine learning, and data visualization. It combines elements from mathematics, statistics, computer science, and domain knowledge to uncover meaningful patterns, make predictions, and support decision-making processes.
Python has become one of the most popular programming languages for data science due to its simplicity, versatility, and extensive range of libraries. Whether you're a beginner or an experienced programmer looking to dive into data science, this...
What is Linear Algebra in Mathematics? Linear algebra is a branch of mathematics that focuses on the study of vectors, vector spaces, and linear transformations. It deals with mathematical structures and operations involving linear equations,...
Why are Statistics Important to Data Scientists? Statistics is indeed a crucial foundation for data scientists. It provides the necessary tools and techniques to analyze and interpret data, uncover patterns and insights, make informed decisions,...
The Data Scientist plays a crucial role in transforming raw data into valuable information that can drive decision-making and solve complex problems. A data scientist is a professional who uses their expertise in statistics, mathematics,...
Do you believe becoming a Data Scientist or Machine Learning Engineer without a computer science (CS) degree is possible? While a CS degree can provide a strong foundation in programming and computer systems, it is not the only path to a career in...
What is Data? Data is a collection of raw facts, figures, and statistics that are collected from various sources. Data can take many forms, including text, numbers, images, signals, audio, and video. Data is typically stored in databases or data...
Data scientists are analytical data specialists with the technical know-how to solve challenging issues. They gather, examine, and understand enormous amounts of data while utilizing a variety of principles from computer science, mathematics, and statistics. They owe it to the audience to present viewpoints that go beyond statistical analysis. Both the public and private sectors, including finance, consulting, manufacturing, healthcare, eCommerce, government, and education, are hiring data scientists.
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Lecturer, Daffodil International University
Bachelor in CSE at KUET, Khulna
Email: azizul@aiquest.org
Senior BI Analyst, Apple Gadgets Ltd
Email: zarin@aiquest.org
Enterprise Data Engineering Lead Engineer at Banglalink Digital Communications Ltd.
Founder, aiQuest Intelligence
Automation Programmer at Siemens Energy
M. Sc. in Data Science at FAU Germany
Software Engineer (Python), eAppair Ltd.
Django Trainer at STUDY MART