Data Science Course has high demand because in every business or organization data science plays a very important role. Data Science Institutes are creating professionals who can make the best strategies and manage risk efficiently. Data is the biggest asset a company has and with the help of data science, it becomes possible for the organizations to make the right decisions. In order to handle these data strategically it is important to learn data science properly and gain proper experience. There are a lot of opportunities available in the data science field, but it is a very vast subject that has different fields. In data science, the different fields are:

• Data Analysis

• Data Scientist

• Data Engineering

• Data Architecture

• Business Analyst

• Product Analyst

• Business Data Analyst

• Marketing Analyst

All these fields have very high demand if you want to pursue your career in any of these job roles. Then you will need to specialize in it because every job role has different roles and responsibilities. 

Exclusive Data Science Tools Used in the Organizations 

There are many organizations that have different requirements in data science. The main tools taught by data science institutes are: 

1. Microsoft Excel

It is very important to have knowledge of Microsoft Excel because, with the help of Microsoft Excel, you can solve big issues with a single click. Data management becomes much easier with the help of Excel as there are many functions available for data analysis in Excel. Even freshers can do complex data analysis in Excel and do different visualizations with the help of charts and graphs available in Excel. There is no need for vast technical knowledge in order to handle big data analysis in Excel. 

2. BigML

BigML is a very important tool that has recently made a huge impact in the data science industry. It is an online cloud-based machine-learning platform that plays a crucial role in machine learning and data science operations. This tool is very good for beginners as the models can be created by just dragging and dropping features. Big ML has REST APIs which help in producing user-friendly web interfaces. There are a lot of automation features available in Big ML and it also helps in managing risks, threat analysis, and many more. 

3. Google Analytics

Google Analytics is a very professional data science tool that also gives an in-depth analysis of the enterprise websites or the performance of any apps. These tools basically help in providing data-driven insights. Google Analytics also plays a very important role in digital marketing and here you can analyze the data properly and check the website traffic that can help you to set digital marketing strategies. It becomes easy for data scientists and marketing leaders to make good decisions on the basis of analytics. 

4. SAS (Statistical Analysis System)

SAS is a highly recommendable tool by data scientists as it can be used for in-depth analysis, business intelligence, predictive analysis, multivariate analysis, and data management operations. Many predictions are made with the help of this tool and most big agencies use it for future analysis. Statistical knowledge is required in order to handle this tool efficiently. 

5. Tableau

Many top MNCs use this tool for data visualization as laymen cannot understand complex data analysis. So it becomes easy when the data is presented in the form of graphs and charts. Most data scientists prefer using Tableau for visualizations by creating a very interactive dashboard. 

If you are thinking of gaining skills in any of these tools, then definitely you not think anymore, because all these tools are in high demand. You can contact one of the top Data Science Institutes-  PFSkillBuilders to gain knowledge of all the Data Science tools.