Why is data analysis important in business?
Data analysis is important in business to ensure that the same mistakes are not repeated, and the business can tailor in historical performances in designing future strategies and formulating the business plan. Descriptive analysis provides a view of the as-is performance of business; predictive analysis delves deep into business forecasts, and prescriptive analysis showcases the best practices and plausible strategies that the business can incorporate to reach its targets and priorities.
What is a Data Analysis pipeline?
A pipeline, in generic terms, refers to the series of steps via which a particular data or input passes through to get processed into the final output. Data Analysis pipeline also follows the same definition as it involves all steps starting from ...
Where can I practice practical Data Analysis problems?
The key factor in finding practical data analysis problems in the online domain is that the data provided in online practical sites such as https://www.kaggle.com etc. are much cleaner and more manageable; whereas the data in real-world business ...
Would it be better to first learn Data Analysis or Data Science.
Data analysis (or a data analyst) and Data Science (or a data scientist) are two different facets of analytics with different objectives, roles & responsibilities. Hence, it is important for the student to first understand the key requirement of each ...
What is the difference between Data Science,Data Analytics and Business Analytics?
Data Analytics, Business Analytics, and Data Science, though different connotations, has a rather thin line of demarcation between them. Data Analytics is primarily based on massaging & harmonizing the back-end unstructured data of the business, and ...
Some tips for the for aspiring Data Scientists.
In order to become a successful data scientist, it is important not to jump the gun and directly development into statistical models and Python/R commands which could simply take inputs and provide the model output. Rather, the process should be more ...