Web-series - 04 Land a Data Analytics Job
In today's tech and data-driven market, the line has been blurred between a business Analysts and Data Analyst.
Business Intelligence role has gone through a dramatic change in pass 5 to 10 years. As with any other field the business analytics field has become increasingly data-driven and very technical in nature. Many cases organizations are looking a Business Analyst with some or other form of data background with at least some knowledge of Python. They have a very legitimate reason for asking such skills, because you cannot be a Business Analyst in today's world if you do not understand and cannot analyze the data and when it comes to analyzing data although there are very good tools like PowerBI and Tableau.
The challenge here is before you could even analyze the data, you need to clean or wrangle it first as data is never clean and we all know nothing cleans Data more easily then Python. As mentioned earlier you don't have to be a rock star by Apache Spark or Python developer to do data cleaning or wrangling, you need to know enough Python in order to parse a CSV file, at least, do some data exploration with Pandas and Numpy libraries to get your job going.
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