Many people see a data science career as an easy path to wealth, fame, and glory, but the reality is that data science is hard to understand, but also one of the most worth doing thing.
- You need to know some math and statistics, since you’ll be analysing data.
- You need some programming skills, since you’ll be writing programs or at least composing queries and scripts to perform that analysis.
- You need communications skills, since your work is likely to be highly collaborative and cross-functional.
Heres complex flowchart showing what a data scientist do basically:
Before you dive in data scientist wonder, you must know that you are going to deal with these concepts. The reason why it is blurred is because I don’t want you people to think or get demotivated thinking about the hefty work ahead.
- Machine Learning
- Text Mining / Natural Language Processing
- Data Visualisation
- Big Data
- Data Ingestion
- Data Munging
Each area / domain is represented as a “metro line”, with the stations depicting the topics you must learn / master / understand in a progressive fashion. The idea is you pick a line, catch a train and go through all the stations (topics) till you reach the final destination (or) switch to the next line.
Data-savvy youngsters who are thinking about which approach to take their skills may need to take note. There’s no risk at all if you want more job opportunities, and perhaps more job security, becoming a data scientist might be a better career choice. So unless analytics drives business impact, it is not analytics, it is just statistics, it is just data science.
With the phenomenal growth and the significance of big data-will grow bigger. The stack of data will keep going up at a quick pace and it is anticipated that our capability to turn big data into structured information that can be used by businesses will likewise enhance dramatically in the upcoming years.
Its all about to boost data driven marketing make your business/Organisation strong, effective and much better.
It is risky because the data science field is relatively young and evolving fast, which could potentially make some skills obsolete / less useful in rather disruptive ways.
It is not risky because the demand for data scientists (with different skills) from many different industries will keep being very strong in near future
If the job were easy, there wouldn’t be
such a demand for people who can do it, But if you are fresher and having the right aptitude and attitude, the rest can all be learned.
End if you have the skills and have already proven yourself, just knuckle down and get the work done.