Data Science is not a single term.
Do you know 98% of people don’t know what they are learning in Data Science? Hey, I want to become Data Scientist, what should I do know? From where should I start? Which programming language should I learn, Is it important to learn cloud technology like AWS, Azure, etc.
I will try to answer them as per my experience. The first question when I asked people why do you want to become Data Scientist?
The common answer, because there is a chance of getting more money and growth. Seriously, are you sure .wait this is the biggest misconception among 90 percent of people.
Data Science is not a single term. It’s a combination of many technologies. Before 2000, people want to learn Oracle, RDBMS, Java. Because the data is not so much and only a single variety of data is there. After 2000, there is huge evolution of data of different categories which we called Big Data.
Now the main challenge is storage, and to overcome this people came with cloud-based storage and cluster, BiG Data cluster is more famous nowadays. Now how to create this cluster in cloud service, Here comes the Job of Cloud Architecture and Engineer.
Now moving forward, let talk about What Data Science comprises.
As per my Experience Data science is a combination of five Term
- Data Engineering 2. Data Visualization 3. Machine Learning 4.Artificial Intelligence 5.Data Communication.
I know you are thinking, why I did not include the Statistics in this, so wait for it, I will explain where statistics are placed inside these five skills.
I will explain each and every term in a detailed manner so that you know what is better for you and which role you should aim for.
