How to Become a Data Scientist in 2023- A Roadmap 

How to Become a Data Scientist in 2023? Could I become a Data Scientist? What are the skills required to become a Data Scientist? Are there any online or offline classes for learning Data Science? What are the skills of a Data Scientist? Is Data Science a field of study? What about data science employment opportunities? How to deal with data and its scientific analysis for a better business prospect.

These are some of the common questions asked on various knowledge sharing online sites like Quora. This blog is going to deep dive into these questions and will present a detailed analysis of the same. In addition, we are going to give you a complete roadmap on how to become a data scientist? But before that you need to know what data science is.

What is Data Science?

Data science is a field of study wherein data is analyzed using some specific parameters and decision is taken based on the pattern and results that are generated after the analysis. It is an interdisciplinary science that involves using scientific methods, algorithms and processes to study the available data and gain knowledge. Crampete Data Science Course shows how to become a Data Scientist from scratch.

Who is a Data Scientist?

A data scientist is a person who uses a mixture of different concepts from mathematics, statistics, information science and business intelligence to write algorithms for analyzing data. The results of the analysis are used by organizations to make smarter  business decisions. In general, a data scientist needs to know how to code so that they can write scripts used to process the data. 

The profession of data scientists has been seeing a rising curve year-on-year. Data science jobs were equally popular in 2020 and continue to be so till now. 

Who can become a Data Scientist? Is it suitable for you?

The demand for data scientists has paved the way for tools that are graphical user interface based and do not need expert coding knowledge. If you have strong knowledge of algorithms, you can easily build data processing models. However, even if you don't have strong coding knowledge and a special degree in data science, you can still become a data scientist. With good learning capability, you can be a data scientist without a degree in it.

There are online courses on data science like Crampete Data Science Course that gives you a certificate of completion which you can use to get a job as a data scientist. If you prefer attending classes on the schedule, then you can look up online courses for data science at Crampete. 

7 steps to become a Data Scientist

So coming back to the topic of how to become a data scientist, in accordance with the above discussion, there are a few basic considerations that one needs to fulfil to become a data scientist. You should have an appetite for data. You should have the aptitude to work almost endlessly with data to produce the best results. Here are the 7 major steps one should take if you are set on becoming a data scientist. These steps will act as a learning path and will aid an individual in becoming a successful data scientist.

Skills required to become a data scientist

The list of skills required to become a data scientist is numerous. Here, we will try to discuss a few of them in detail. To become a data scientist or to remain in the competition, you need to have the following skills.

Programming Language

To become a data scientist, one doesn’t have to be an expert at any programming language as there are a lot of tools available on the internet that allow one to work with data science algorithms. But the knowledge of a programming language sets one apart from others in terms of value addition. It also gives you more room and opportunity to play around with the data and get better (maybe) results.

R, Python, Matlab, TensorFlow, Julia, Scala, and SQL are some of the languages you should consider learning.

Frameworks and Tools

There are a whole lot of data science tools that make the life of a data scientist easier. Many of the tools that are recently offered in the market do not even need one to know a programming language. Tools are available for data collection, data analysis, and data visualization.

The stack of technology you choose depends upon the industry requirements and purpose of the exercise. There are different tools for collecting data, data analysis, machine learning, and data visualization. 

Understanding Statistics

Be familiar with advanced statistical concepts. You should have the ability to understand which methods are valid for your case and which are not. Statistics are important everywhere. It is a  must for all data-driven decisions that are made and in cases where you are evaluating experiments.

Machine Learning 

ML is a must for companies whose products are data-driven. Even otherwise, it is a great skill to have for a data scientist. Though you can implement quite a few concepts using programming languages like R and Python, you should still learn various basics and algorithms for machine learning.

Linear Algebra and Multivariable Calculus

Linear algebra and multivariable calculus are among the basic mathematics that one needs to hone to become a data scientist.

Data Wrangling

A Data Scientist’s job is also to learn to work with imperfect data. It comes across as a useful skill to have when there is no organization to data and in companies where the product is not oriented to a data-driven approach. It is also useful in companies which have simply let go of on data and you are an early hire who is there to clean up the mess.

Data visualization

Data visualization is important for presenting the inference to laymen for them to easily understand the result.  As a data scientist, you should be able to communicate effectively about your findings, recommendations, and the plan of action. 

Education and Certification needed to become a data scientist

A Data Science course could be a certification course or an undergraduate or a postgraduate course depending upon the roadmap followed by a student. Becoming a data scientist in 6 months or one year is based on varied reputed data science courses that are available in the market by several institutes. 

Most Data Science Certification courses available usually last from 3 weeks to 18 weeks offered by IBM, MIT, Harvard University, University of Michigan, Udemy, Crampete, etc. 

Crampete is India’s leading Data Science Certification provider for students with or without coding experiences with 100% job interview assistance guarantee with top IT organisations like TCS, NIT, HP, Ford, Hexaware, etc., on completion of the course. 

If you are interested in making a career in the data science stream, click on the link below to register now.

Develop Communication Skills

A data scientist needs to work with actionable insight and needs to have a visualisation of how the organisational data needs should be communicated. As a data scientist, one should know how the data would be successfully communicated. Qualified insights from a  data scientist will enable a business to take timely decisions for better business prospects of the organisation.

Practice with a live comprehensive project with real data sets

Practice programming and algorithms that you have learned by working on projects. Learn to implement your learning in practice. As a budding Data scientist if you have practised with more live projects with real data sets, then you have had an actionable insight to develop better data senses from varied situations.

At Crampete we provide varied projects as presented below:

• Capstone Projects
• Mini Projects
• Live Projects

Prepare a Comprehensive CV and get ready for an Interview

Use your sample projects you have worked on to create a portfolio. You can use them to showcase your skills and competency when you are applying for a job. Add the projects that you have done using the real-time data, while doing your data science certification, to add value to your CV.

With mock interviews and 2 real-time interviews at Crampete, the student’s profile would look much professional to help him or her get selected for a job. These mock interviews prepare our students to face their real-life interviews with more confidence.

Using Linkedin network with fellow data scientists

In the data science field, trends keep changing and more and more interesting developments are taking place in this field. New tools are released with amazing regularity and others go out of fashion. So you need to keep yourself updated on trends and work accordingly.

Apply for Interviews and get a job

Becoming a Data Scientist is not the end of the roadmap, but it is the beginning of a great career graph. Once you gain a certification in data science, you can apply for jobs like analytics delivery model data analyst, senior data scientist, lead data scientist, etc. With Crampete’s Data Science certification, mock interviews and 2 real-time interviews, our students learn step-by-step to apply for the best Data Science jobs in the industry and attend interviews. 

Advantages of becoming a Data Scientist

The advantages of becoming a Data Scientist are as follows:

• This field uses mathematics, statistics, information science, and computer science concepts to unify data, machine learning and other useful technologies to derive some meaningful results from the sample data.
• Data scientists are well-respected nerds who are integral to the workings of an organization. It has a great learning curve and also a challenging job. It is also a very well paid job.
• Data science helps in the recruitment process by weeding out candidates who are not suitable and saves a lot of time going through the resumes. It also helps in selecting a nearly perfect candidate with the information available on the internet on candidates.
• Data science helps organizations to frame their best practices based on their recommendations. 
• Data scientists help with the plan of action for solving issues. 
• These are some of the reasons why data scientists are so sought-after and data science is popular.

Disadvantages of becoming a Data Scientist

The disadvantages of becoming a Data Scientist are as follows:

• It is a very sensitive field as there is a big catch - without proper utilization of resources and poor management, data science is bound to give results that are spectacular failures. 
• One needs to be careful regarding the breach of data privacy of the customers as Data Scientists work with data.
• Mastering the Data Science field is impossible. Thus, no one can be an expert in the field as this field is an ever-changing one. But if you use this roadmap as your learning aid, you can master certain areas within this field. 

These are some of the disadvantages of becoming a Data Scientist.

Salary of a data scientist in India

Many students and IT professionals across the country look for data science jobs. This is because of the lucrative pay package that data scientists receive presently. A data scientist can earn a whopping average salary of Rs. 4,50,000 in the initial years and as they gain more experience they get an average of Rs. 8,50,000.

Also Read: Comprehensive report on data science salary

Careers that are similar to Data Scientist

The other careers that are similar to Data Scientist are Artificial Intelligence and Machine Learning. AI is a multidisciplinary science with multiple approaches creating a paradigm shift in varied spheres of different industries. Machine learning is an application of Artificial Intelligence providing automatic learning and improved experience without explicit programming. Both are based on data collection and business analytics, and thus are similar to the Data Scientist role.

Conclusion

Hope this blog answers some of your questions that are relevant to data science like How to Become a Data Scientist without a degree, How to Become a Data Scientist at Amazon, How to Become a Data Scientist in India after 12th Commerce or 10th grade, How to Become a Data Scientist in Canada, model completion, etc. 

Please share this blog with your fellow students, freshers, statisticians and other IT professionals as they will find this very useful in their career. This blog will certainly be a guide for those looking to become a data scientist.

We’ve tried to discuss the ways why and how one can become a Data Scientist in India by doing a certification course with Crampete and get placed with a decent salary as a fresher or as a Data Scientist in a reputed organisation. Get Crampete’s Data Science course completion certificate as Cram Degree and be assured of your dream job.