In my previous post, I discussed about how an individual can start their journey in Data Science by establishing oneself as a Data Analyst. How Data Analysis play a significant role in empowering oneself as a future Data Scientist. I hope you all would have found some key insights and would concur with me on that note.
Now, if you have decided to make this bold step. I have a question for you.
“Are you ready to deep dive into the Ocean of Data?”
No! Don’t worry, you won’t drown if taken apposite measures. But what would these measures be and if you follow these measures, would they guarantee your safety?
Well, to immerse yourself into the Data-web, you must gain adequate knowledge of technical domain and basic mathematics. Technical domain for the purpose of — Will you be able to process the raw data into the desired result and Mathematics — To speed up the process and find answers to the questions that arrive from this data.
Relating to Mathematics, one must be familiar up to elementary level. Some basic Statistics, Linear Algebra and aptitude will do just fine. As technicality goes, there are various programming languages or tools that one can choose. Though, the most sought of them are Excel, SQL and R/ Python.
Excel is a go to go tool for any Analyst. It will help you manipulate less size of data much more swiftly than any other tool. On the other hand, SQL is the language of databases. The language that interacts with databases of any size and help you out with the information. Then comes R/ Python, the programming languages build to facilitate our lives and perform sundries operations.
Now, before jumping into the ocean you must get aware of some fundamentals. Like how to find the North direction or under what circumstances current flow can change. This is similar to learning mathematics for data analysis. A crucial subject that will assist you to produce fruitful results.
Not just the theory, you must work on practical stuff too and assimilate how to paddle. So, that you can roam freely. Okay! Don’t judge, I know you are in an Ocean and where would you possibly be roaming. Even then you must learn. This is analogous to learning Excel. Excel, aka spreadsheets aids you to understand and transform the data in your nascent times of analysis. While you begin to utilize the tool and get acquainted to it, you will learn what a powerful tool Excel can be.
Moving on to SQL. As I said before SQL is the language of Databases and there is no alternative to it. You must get proficient in SQL in order to thrive as a Data Analyst/ Data Scientist. SQL is just like a swim ring. It will prevent you from drowning into the Ocean and stay afloat. Remember, this swim ring must be air tight and of good quality otherwise don’t blame me for being a bad instructor.
This is the part where you jump into the Ocean and explore its endless possibilities. Ocean which is full of muddy data, heterogeneous data, squandered data and much more.
Oh yes, where do R/ Python come in? I would say these are the equipment for Scuba divers. The ones who want to visit the depth of the Ocean and are audacious enough to handle multiple tasks at once. They play with data, crunch numbers and discover peculiar insights.
These were the essentials from my side for being a Data Analyst. Grasping all this knowledge does not guarantee your safe travels in the Ocean. But this is something that I have relied on. Till Then:
Learn, Apply and Repeat.