Glossary of Data Science and Machine Learning Terms

The below glossary provides a broad overview of key terms in the field of data science and machine learning, covering various concepts, techniques, and algorithms used in data analysis, machine Read More …

Which Technologies should you learn to become Data Analyst?

In the field of data analysis, several technologies play a significant role. Here are some key technologies you should consider learning: Programming Languages: Python: Widely used for data analysis and Read More …

Big Data and Hadoop: Navigating the Digital Data Landscape

In today’s data-driven world, the amount of information we generate and collect is staggering. This vast sea of data, known as big data, holds immense potential for insights, innovation, and Read More …

Difference between a Database, Data Warehouse, Data Mart, Data Lake, and Data Lakehouse

What is the difference between a database, data warehouse, data mart, data lake, and data lakehouse?     The terms database, data warehouse, data mart, data lake, and data lakehouse Read More …

Data Formats: Avro, CSV, Parquet, JSON, and XML

Introduction In today’s data-driven world, businesses and organizations rely on a wide range of data formats to make informed decisions and drive innovation. Among the myriad data formats available, Avro, Read More …

Interview Preparation Series: #2 : Data Analyst

Who is a Data Analyst? A Data Analyst is a professional who collects, organizes, interprets, and analyzes data to extract meaningful insights and support decision-making processes within an organization. They Read More …

How to Become a Data Analyst

Nowadays huge volumes of data is being generated due to growth of manufacturing, Information –  Technology, Automation and also due to common people using mobiles and laptops for banking as Read More …