The versatility of Data Science is hidden from none in the industry. Mix and match of tools and techniques makes a full fledged training program of Data Science. In the field where we got to deal with such huge amount of information of different genres like- Videos, numbers, texts, dates, geographic, demographics it become really confusing to segregate such data, but equally important too. Generally what happens in the industries is that Data Scientist is expected to perform the task within the time frame and have to meet deadlines of project completion. Dealing with huge data can lead to any difficulty during the process of report making and finally delivering to client.
There are variety of tips tricks and tools to effectively hunt for achieving the results. Below listed are the tools that are handy and offered by Data Science to its students.
- Spread sheets- The two Spread sheets that are being used and readily available are Excel and Google Sheets. Its easy way to view the data preparation, available and easy access to a lot people are the pros of the spread sheets, whereas as per some of scientists, data collection is something better done with database than spread sheet. But due to the handy availability we have an advantage of starting data preparation right away, which can’t be done with data base.
- has wider wings and is ways more advanced having lots of functions included which are technically are not the part of Data Science.
Google Sheet-This is Interesting as it’s much better for data collection because of its centralized nature. And there are other important reasons that make Google sheets exciting, which will be a part of Data Science Training.
- Databases- The different type of Databases are- Relational, Column, Document and Graph. Most of the time Data Scientists work with relational Databases like- Microsoft Access etc. And are typically built for transaction and storage not majorly for analysis.
- Self Service Data Visualization- Which includes- Tableau, Power BI, Qlik Sense, AWS Quicksight. The specialty of these tools is designed for even non-technical activities and non-data analysis can easily access these. Visualizing the data very quickly and much easier than Excel. Some of the shortfalls of these ares- some of these comes with license cost, which can be free for work but can’t be shared without making payment.Tableau is major amongst all.
- Programming Languages- The languages that are being used in Data Science and are very useful during the Data Science Training are Python and R. Learning these two becomes necessary when it comes to Data Science, however there are many other tools are involved in Data analysis.
- Big Data Tools- Hadoop, Data Lakes, and Spark are helpful to deal with gigantic data which can’t be handled by single computer and requires many computer systems, that’s where these tools come into the picture. Big Data works on Module called distributed computing; however with evolving technology there are computers which can handle a whole lot of Data processing and storage.
- Cloud Platforms- AWS, Microsoft Azure and Google Cloud Platform are clod providers, they highly quick and getting setup is a matter of few minutes with not spending much.
Data Science Training is a journey of learning new tools, tips, tricks and techniques all through. The best part of Data Science Training is that it shelters both technical and non-technical field people. What all you learn during the training will be helpful for self-use too, than just being a part of your professional life, it makes life easy for keeping self-records too Add paragraph text here.
