While traditional data analytics tools like R, Python and SAS are essential for a successful career in data analytics, Excel is still relevant as an important analytics tool. Excel is used by 750 million people world-wide and across industries for its simplicity and easy-usability. Microsoft CEO values Excel as the most precious product of the company and it is still a very popular tool for data analytics. Data science is all about combining the best tools to solve problems and Excel may not possess the capabilities of a modern dedicated data science tool but it still carries a punch enough for getting analytics jobs done.
Why Excel is very important for beginners in data analytics?
Data analytics is all about turning raw information into sound business strategy. For this understanding some core analytics tasks is very important and Excel lets you do that efficiently. We have been using MS Excel since our school days and back in the 1980s when Excel was introduced it was the only data analysis software. Whether grouping certain types of data using the sort function or filtering data for a specific purpose, Excel handles such tasks beautifully. Even data visualization is fairly simple in Excel and these are the very tasks you will be required to do even in an advanced stages of your career.
Moreover, there are certain advantages of using Excel for data analytics:
- Excel comes with an Analysis ToolPak which is instrumental in performing advanced analytics tasks. For instance, the Analysis ToolPak renders Excel the capability to perform machine learning and other complex data analysis like variance analysis, descriptive analytics etc.
- Python is one of the most essential data science scripting language and its libraries like Pandas are very important for data analytics. Excel enables you to use Python and access the Python libraries like Pandas and SciPy from it. This is very useful as you will be able to master Python data science libraries while still using Excel for simple tasks.
- Excel also has the ability to perform SQL queries through its built-in database engine and fetch data from multiple sources with Power Query editor.
Thus, as a beginner the simplicity of Excel enables you to start with data manipulation and other associated analytics tasks while developing other essential skills for a successful career.
Increase your employability with an Excel course in Malaysia!
Malaysia is today a data analytics hub owing to its flourishing digital economy and continuous government initiatives. Home to some of the biggest analytics firms, the country offers a decent exposure to the industry and an opportunity to learn from industry experts. Moreover, Excel skills are in demand in Malaysia as many Malaysian companies still use Excel for some basic data analytics tasks. Hence, an Excel course in Malaysia will help you to gain a good entry into the world of data science and can act as a gateway for a successful career in analytics!