The demand for data analysts is increasing across all industries as organizations rely on data for crucial business decisions. To become a data analyst, individuals need to have specific skill sets and pursue relevant coursework. They can study undergraduate or graduate degrees in fields like computer science, mathematics, or statistics, or pursue degrees in data science or data analytics. Skills required include data visualization, data cleaning, programming languages, and machine learning. Steps to become a data analyst include completing education, improving analytical skills, obtaining certifications, getting an internship, and pursuing a master s degree. In India, students can start preparing in high school by studying subjects like computer science, mathematics, statistics, or economics. They can then enroll in related bachelor s degree programs. Similar opportunities exist abroad, with universities in countries like the UK, USA, Canada, and Australia offering data analytics cour
Data analytics involves analysing raw data to make informed decisions and solve problems. It can help businesses identify patterns, spot trends, assess risks, and develop action plans. The process involves identifying data needs, gathering and organizing data, cleaning and preparing data for analysis, and exploring and analyzing the data.
This article presents a list of nine data analytics tools used by data analysts and data scientists. The tools range from open-source programming languages like Python and R to commercial software like SAS, Microsoft Excel, and Power BI. The article also discusses AI data analytics tools, including Apache Spark and Jupyter Notebook.
New Delhi: Leading B-School IIM Lucknow has announced the launch of Executive Programme in Data Science with Eruditus, the global leader in making high-quality education accessible and affordable to individuals, companies, and governments worldwide.