How to Become a Data Scientist in 2020- Step-by-Step Guide
How to Become a Data Scientist in 2020? Could I become a Data Scientist? What are the skills that are required to become a Data Scientist? Are there 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? How to deal with data and its scientific analysis for a better business prospect.
Above presented are some of the common questions asked on varied 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 the process we are going to give you a complete step by step of how to become a data scientist? But before that we need to know what data science is.
What is Data Science?
Data science is a field of study where data is analyzed using some specific parameters and a decision is taken based on the pattern and results that are generated by the analysis. It is an interdisciplinary science that is about using scientific methods, algorithms and processes to study the available data and gain knowledge from it. 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 to analyze data. The results of the analysis are used to make smarter decisions by industries. In general, a data scientist needs to know how to code so that they can write scripts to run to process the data.
Who can become a Data Scientist? Is it suitable for you?
While it is a good thing, the demand for data scientists has paved the way for tools that are graphical user interface based and does not need expert coding knowledge. If anyone is strong with algorithms, they can use it to build the data processing models. So, even if you don’t have strong coding knowledge and a special degree for data science, you can still become a data scientist. This shows how to become a Data Scientist without a degree but with actionable insight and learning capability.
There are online courses on data science like Crampete Data Science Course that give 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 this 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 the 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 aid an individual on how to become a data scientist in India:
5.A. 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 maintain the edge over the competition, you need to have the following skills.
5. A.1. 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 allows 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, SQL are some of the languages you should consider learning.
5. A.2. 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 become a data scientist to know a programming language. They offer tools 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.
5. A.3. Understanding of 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.
5. A.4. Machine Learning
This is a must for the companies whose products are itself 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.
5. A.5. 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.
5. A.6. Data Wrangling
A Data Scientist 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 the 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.
5. A.7. Data visualization
Data visualization is important for presenting the inference to laymen for them to easily understand the result. As a data scientist one should be able to communicate effectively about your findings, recommendations, and the plan of action. Such visualisation aids in how to become a data scientist in India after science, commerce or any stream of study.
5. B. Education and Certification needed to become a data scientist
A Data Science course could be a certification course or an undergraduate or a post-graduate course depending upon the road map done by the student. How to become a data scientist in 6 months or one year is based on varied reputed Data Science courses that are available in the market by varied institutes Different Data Science Certification courses available starts from 3 weeks to 18 weeks from reputed names like 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% placement 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
5. C. Develop Communication Skills
A data scientist needs work with actionable insight and needs to have a visualisation of how the organisational data needs to be communicated. As a data scientist, one should know how the data would be successfully communicated to the non-technical teams like marketing, sales, finance, supply chain etc. Qualified insights from the data scientist will enable the business to take timely decisions for better business prospects of the organisation.
5. D. 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 project and labs as presented below:
- Capstone Project
- Mini Project
- Live Project
E. Prepare a Comprehensive CV and Prepare for an Interview
Use your sample projects and others that you have worked on to create a portfolio. You can use this 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 CV of the student becomes much professional to get selected for the job. These mock interviews prepare our students to face their real-life interview with much confidence.
- F. Using Linkedin network with fellow data scientist
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 the trends and work accordingly.
- G. Apply for Interviews and get a job
Becoming a Data Scientist is not the end of the road map but it is the beginning of a great career graph. Once gaining a certification in data science one 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 aid our students to apply for best Data Science jobs in the industry and attend interviews in confidence to crack them.
Advantages of becoming a Data Scientist
The advantages of a Data Scientist are as follows:
- It 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 is 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 the candidates.
- Data science helps organizations and each team to frame their best practices based on their recommendations.
- Data scientists help with a 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 breach of data privacy of the customers as Data Scientists work with data.
- Mastering the Data Science field is impossible so no one can’t be a Data Science expert in the field as this field is an ever changing field. But if you use this roadmap title how to become a data scientist , you can master certain areas within this field.
These are some of the disadvantages of becoming a Data Scientist.
Salary and pay package of a data scientist in India
How to Become a Data Scientist in India is a quest of many students and IT professionals across the country. This is because of the lucrative pay package that the data scientists receive presently. Become a Data Scientist and earn a whopping average salary of Rs. 4,50,000 in the initial years and as they gain the experience they get an average of Rs. 8,50,000 and much more.
Also Read: Comprehensive report on data science salary
Careers that are similar to Data Scientist
Careers other than Data Scientist which 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, so are similar to Data Scientist.
Hope this blog answers some of your questions that are relevant to data science filed 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, 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. The above blog has laid out the reasons 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 from just being a coder or a programmer. Get Crampete’s Data Science course completion certificate as Cram Degree and be assured of your dream job.