How To Become A Data Scientist In 2023

Today, Data Science is one of the most demanding niches in the IT sector as it finds its vast application in businesses, governmental works and even academics. How To Become Data Scientist In 2022, For example, companies employ data scientists to process raw data and uncover valuable insights to make decisions and plans. 

This has led to a rapid expansion of the significant data sector. In fact, as per a report by Statistica, the global big data market is predicted to be worth $70 billion in 2022, and by 2027, it is expected to reach the mark of $100 billion.

So, if you’ve started developing an interest now and want to know ‘How to get into data science?’ or ‘How to become a data analyst?’, keep reading this article until the end.

WHAT IS DATA SCIENCE?

Data Science, in simple words, is the application of advanced mathematical, analytical, and programming skills to extract valuable information from large data sets. 

However, mastering data science is not quite simple. It involves learning various concepts and techniques and, in the end, a good amount of practice to be called a trained data scientist. Some applications of data science are:

• Machine Learning
• Artificial Learning
• Data Extraction and Cleaning
• Data Visualization and Interpretation
• Business Analysis, etc.

These are the standard fields of data science, while there are many other advanced applications as well. 

TYPES OF DATA SCIENCE JOBS/ ROLES

Data Science is a rather broad discipline in and of itself. It comprises various tasks, from small jobs like recording data to tasks like filtering, analyzing and representing a large set of data for different purposes. And when it comes to performing all these tasks on a larger scale, a single person can’t carry out everything alone. So, here are the top 5 roles in the field of Data Science in 2022:

1. DATA ANALYSTS

The role of a data analyst is to extract and process a large set of data and represent it in an understandable form. Therefore, a data analyst is required to have analytical and inferential skills. 

2. DATA ENGINEER

A data engineer designs and manages the databases of the companies. In addition, he is responsible for carrying out algorithmic and development-related tasks in the companies.

3. DATA MINERS 

A data miner performs one of the most useful tasks, i.e., processing raw data. Data miners must find any inconsistency in the data and remove it, making it available for further decision-making. 

4. STATISTICIAN

As the name suggests, Statisticians have great expertise in statistics and mathematical techniques. They use these techniques and formulas to extract valuable insight from a large data bundle.

5. BUSINESS ANALYSTS

A business analyst is one of the highest paying jobs and deals with a business’s data. An analyst must read, understand and derive meaningful decisions from a business’s extensive set of audience data. Therefore, along with excellent analytical and programming skills, a business analyst is expected to have a deep acumen in that particular business.

SKILLS REQUIRED TO BECOME A DATA SCIENTIST IN 2022

To become a data scientist/analyst, one key skill that one must possess is an interest in numbers and extensive data. A data scientist is subjected to dealing with vast amounts of data frequently, and if they don’t have an interest in working with a large amount of data, it would be difficult for them to build a promising career out of this. Other skills include good communication, teamwork, and the willingness to evolve and learn more daily. 

However, there are some defined technical skills that one must have to become a data scientist in 2022:

1. A solid mathematical background. Mathematical tools such as Statistics and Linear Algebra are necessary when dealing with extensive data.
2. A strong computer and programming knowledge. Since the tasks must be performed on computers, it is essential to understand various programming languages such as R, Python, SQL, etc. and tools like SAS, Tableau, Spark, etc.
3. Experience in Machine Learning and Statistical Modelling. This helps in the prediction of information from a large set of data.
4. Strong Visualisation and Inferential Skills. It is better to represent large data in tabular or graphical format for better decision-making.

 

DATA SCIENTIST SALARY

Data Scientist jobs are in greater demand than ever, and companies are even paying big bucks for it. As per a report by Glassdoor, the data scientist’s salary in 2022 in India ranges from 4.5 LPA to 24 LPA, with an average salary of 11.25 LPA at the beginner level. At the same time, a data scientist’s salary in the US ranges from $84K to $200K per annum, with an amazing average of $121000 per annum. In the United Kingdom, a beginner data scientist’s salary ranges from £32K to £78K, with an average wage of around £50K.

One great thing is that these are entry-level salaries, with hardly an experience of one or two years or maybe, even lesser. Thus, this highlights the scope in the field of data science both opportunity-wise as well as salary-wise. 

 

HOW TO BECOME A DATA SCIENTIST WITHOUT A DEGREE?

The question ‘How to become a data scientist without a degree?’ would sound absurd a few years back when having a degree was necessary. But, today, one can land a wide range of jobs without any degree, and Data Science is one of them. However, it doesn’t mean there is no education required. One needs to hold valid certifications and hands-on experience in various concepts of Data Science to grab a job. Building real projects and having some side skills can help one to get into data science in 2022. 

 

TO SUM IT UP

Data science is one of the most sought-after skills nowadays. Moreover, with high-paying salaries to substantial career opportunities, this is one of the most promising careers to pursue in 2022. So, the roadmap to becoming a data scientist consists of the following steps:

Step 1: Decide the field you want to work in

Step 2: Learn Relevant Programming Skills and Tools

Step 3: Learn other side skills

Step 4: Earn Certification

Step 5: Build your Portfolio 

Step 6: Join an Internship

Step 7: Join an entry-level Job

Have a question? The following are some of the more common ones.

• WHAT IS DATA SCIENCE?

Data Science is the application of various advanced analytical, mathematical and programming skills to derive useful information from a large data set. This information is further analysed by organizations to make decisions and plans.

• HOW TO BECOME A DATA ANALYST?

A data analyst is the one who analyses and interprets data for various purposes. To become a good data analyst, one should possess great analytical and visual skills. Technical skills required are Knowledge of Programming (R, Python, etc.), Analytical Tools such as SAS, Tableau, etc., and Compatibility to work with large unstructured data.

• WHICH ARE THE TOP COMPANIES FOR DATA SCIENTISTS?

In India, the Big 4 companies, Deloitte, PwC, KPMG and EY, are considered the top data companies. However, there are various other companies as well which hire data analysts and scientists. Companies like Microsoft, Amazon, Google, JPMorgan, Walmart, etc., are some of the famous global recruiters for data science jobs.

• WHAT IS THE SALARY OF A DATA SCIENTIST?

The average salary of a data scientist in India is about 11 Lakhs per annum. While globally, entry-level data scientists make an average salary of $121000 per annum. 

MASTER DATA SCIENCE WITH BRAINALYST

At Brainalyst, we have curated a special course, ‘Full Stack Master’s Program – Data Science, Machine Learning and Big Data,’ for learning data science from scratch to the advanced level. Along with 500+ hours of live learning, this course offers you ground learning by offering optional Internships to get an in-depth idea of the sector. So, learn from the industry experts and grab a data science job at a big company with our 100% Placement Guarantee* policy. 

Still in doubt? Contact us for further queries.