What is Data Science?

So, let’s start with the definition of Data Science-

What is the Definition of Data Science?

Data Science is a broad term that contains data analytics, data mining, machine learning, Artificial Intelligence, and deep learning.

Data Science is getting more popular day by day. Nowadays, many companies are adopting data science, especially for marketing purposes. With the help of the data science field, they find different patterns that help them to increase their sales.

Data Science contains various processes, that include Data Collection, Cleaning of that data, Process of that data, analyzing the data, and visualizing that data.

This is the life cycle of Data Science-

In short, Data Science is all about Analyzing the Data and finding useful information from the data.

Now, the next question is What is the need for Data Science or Why Data Science?

Right?

So, let’s see Why Data Science is so much popular-

Why is Data Science Important

As we know, Data is increasing very fast. According to one report, By 2025, it’s estimated that 463 exabytes of data will be created each day globally – that’s the equivalent of 212,765,957 DVDs per day!

So, the question is, does this huge amount of data is useful?

The answer is No.

This huge amount of data is raw and useless data, but this useless data contains some useful information.

This is like mining Gold from Rock.

Finding useful information from the huge amount of data makes Data Science popular.

Suppose, in a supermarket, thousands of customer purchases items. Their purchase history data is useless before the Evolution of Data Science.

But now, after Data Science Evolution, purchase history data become valuable. By finding different patterns in Purchase history data, supermarket manager can increase their sale.

For example, people who come for buying milk always purchase bread. So this pattern helps the supermarket manager to organize items accordingly. Which means putting milk and bread together. This will increase the sale of bread.

I hope now you understood the importance of Data Science.

Now, the next question is What are the different job roles available in Data Science?

Right?.

So, let’s see different Job Roles available in Data Science?

Different Job Roles Available in Data Science

Data Science is a broad term, that’s why there are different job roles available.

These are the most demanding and high paying Job Roles in Data Science-

1. Data Scientist
2. Data Analyst
3. Data Engineer
4. Data Architect
5. Business Analyst
6. Database Administrator
7. Machine Learning Engineer

Now, let’s see some of these most popular Job Roles in detail-

1. Data Scientist

According to the Harvard Business article, The Data Scientist is the “Sexiest Job of the 21st Century”. 

As a Data scientist, you need to have advanced analytical skills because a Data scientist collects the data, then analyzes those data and finds interesting insights from those data. And these insights are used for making business decisions.

Skills Required for Data Scientist

To become a Data Scientist, you should have the following skills-

1. Programming Skills (Python or R).
2. Mathematical skills
3. Machine Learning Knowledge.
4. BigData (Tools like Hadoop, Pig, and Hive.)
5. Knowledge of Statistics.
6. Data Wrangling
7. Data Visualization & Communication.

So, these are the following skills, you should have.

Now you may be wondering how to grab all this knowledge. So, don’t worry. Read these articles and begin your data science journey.

Best Online Courses for Data Science to become A Skilled Data Scientist

15 Best Books on Data Science Everyone Should Read in 2020

Now, let’s see the salary of a Data Scientist,

Salary of Data Scientist

According to Glassdoor, the average salary of a Data Scientist in India (In February 2020) is- INR 1033k per year.

In the USA– $ 113k per year.

2. Data Analyst

As the name suggests, data analysis means you have to analyze the data and find hidden patterns.

In Data Analyst you can use various tools for analyzing the data, like Hadoop.

Now, let’s see the skills required for Data Analyst-

Skills Required for Data Analyst

These are some must-have skills for Data Analyst-

1. Structured Query Language (SQL)
2. Microsoft Excel
3. R or Python-Statistical Programming
4. Data Visualization
5. Machine Learning
6. Data Cleaning and Preparation
7. Problem-Solving

So, to learn all these skills, these are some Online Courses, in which you can enroll yourself and master yourself.

1. Databases and SQL for Data Science with Python
2. Data Analyst Masters Program
3. Google Data Analytics Professional Certificate
4. Data Visualization in Tableau
5. Machine Learning
6. Getting and Cleaning Data
7. Statistical Inference ( Best for Statistical Knowledge).
8. Data Visualization with Tableau Specialization

For more details regarding the Data Analyst Online course, read this article-Data Analyst Online Certification to Become a Successful Data Analyst

Now, let’s see the salary of a Data Analyst-

Salary of Data Analyst

According to Glassdoor, the average salary of a Data Analyst in India is- INR 524k per year.

In the USA– $ 62,453 per year.

3. Data Engineer

Data Engineers build and maintain data infrastructures that help the business information system.

A Data Engineer’s Responsibilities, they design, build, and implement the data systems.

Now, let’s see what skills are required to become a Data Engineer-

Skills Required for Data Engineer

These are mandatory skills, every data engineer should have-

1. Programming Language (Python, R, and SQL)
2. Knowledge of Relational and Non-Relational Database System.
3. ETL (Extract, transform, and load) Knowledge.
4. Knowledge of Machine Learning.
5. Hadoop Based Analytics (Hive, Mapreduce, etc)
6. Knowledge of UNIX, Solaris, and Linux Systems.

If you want to become a Data Engineer, then you can enroll yourself in any one of these courses. These are the best Courses for Data Engineers-

1. Data Engineering with Google Cloud Professional Certificate
2. Big Data Specialization
3. Become a Data Engineer
4. Big Data Hadoop Certification Training
5. Become a Data Engineer (Nano-Degree by Udacity)

For more details regarding Data Engineering Online courses, read this article- 8 Best Data Engineering Courses Online- Complete List of Resources

Now, let’s see the salary of a Data Engineer-

Salary of Data Engineer

According to Glassdoor, the average salary of a Data Engineer in India is- INR 788K/per year.

In the USA– $ 72,323/per year.

So, these are some most popular Job Roles in Data Science. I hope Now you have a clear idea about these Data Science Job Roles.

But many of us have some doubts, like the difference between Data Scientist and Data Analyst, if you have any doubt, read this article- Data Science vs Data Analyst: Ultimate Guide to Clear Doubts

Now, let’s see What is Data Science used For?

Data Science Applications

These are some most popular applications of Data Science-

1. Healthcare
2. Fraud and Risk Detection.
3. Recommendation System.
4. Image Recognition.
5. Speech recognition.
6. Gaming.
7. Air route Planning.
8. In Transport Service.

Now, it’s time to wrap up.

Conclusion

Data Science is the most popular and vast field. To come into the Data Science field, you need to have various skills and in-depth knowledge.

In this article, you have learned the following concepts of Data Science-

• Definition of Data science, and why it is popular.
• Different Job roles, skills required for these job roles, and salary.
• You also learned various applications of Data Science.

If you have any doubt feel free to ask me.

All the Best!

Enjoy Learning.

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