Do You Need a Certification to Become a Data Scientist? Things You Should Consider

The Dell EMC Big Data Analytics Certifications are the top-billed Data Scientist credentials internationally for today’s market researchers, business graduates, and marketers seeking to enter or accelerate their growth in the highly lucrative Big Data Analytics profession.

The Big Data Analyst credentialing track of the Data Science credentialing terms of trained professionals who specialize in handling the entire life–cycle of analyzing Big Data using advanced analytics tools and techniques on common and popular Big Data software and platforms.

The badge identifies the achievement of the Dell Technologies Proven Professional Specialist - Data Scientist, Advanced Analytics certification. Earners know analytical methods, Hadoop and Pig, Hive, HBase, Social Network Analysis, Natural Language Processing, and Visualization methods. These methods give the data scientist the ability to identify and communicate conclusions and recommendations to solve business challenges across many domains.

Do You Want to Become a Data Scientist?

Certainly, Data Science had become a glamorous role over the years, mainly when HBR termed the data scientist's position as the sexiest job of the 21st century. Today, data science's market size stands at $38 billion and is anticipated to reach $140 billion by 2025! It is undeniably a high growth role.

The majority of enthusiasts aim to become a data scientist because of the glamour and high salary band, but this is no longer the reality. Many people apply for the same job role but do not have the right skill set for the job, following in a crunch of high expectations.

For example, come from the software engineering industry. Data engineering may be the right role for you, or if you need a job with a high number of openings, you may want to go with Business analytics as a career choice.

What Are the Many Paths to Become a Data Scientist?

There is no limitation in learning, especially in the digital age, where you have an ample amount of options open! You can scan through millions of freely available resources or even pay a hefty amount for a shining course. It all depends on how you require to do it.

1. Reading Blogs on Data Scientist:

Blogs are widely and readily available resources on the internet. The most significant benefit of blogs is that there is a lot of variety in it, and they are easy to grasp. You do not require to go chapter-wise to reach a specific topic.

2. Learning Through Video Tutorials:

Videos tutorials are an excellent option for you. It is always better to see someone achieve the concept, code, or project in front of you and then repeat after them. The drawback is when you are a beginner, and it becomes hard to attach the dots with the overall case leading to gaps in knowledge.

3. Free Courses for Data Scientist:

These are ordinarily short introductory courses that you can search for as a beginner. Many of them also provide certification. The benefit of such classes is that you get the comprehensive learning path for the proposed concept. The disadvantage is that these are not specific programs and only consist of general knowledge.

4. Data Science Certification Courses:

Data Science Certification courses give a great way to learn data science. You get a full curriculum and reach the aim in a structured approach. Industry experts usually teach these with high-quality content. There is no particular disadvantage of the program, the only one being - you require to keep the Data Science certification course wisely.

Concluding

As the demand for data science professionals is growing, recruiters face a challenge around the world. This challenge is of hiring potential candidates who have all the required skills. More satisfaction is needed at the end of recruiters and hiring managers as they know the challenge to recognize the knowledge and skills in a few hours of the interview. For this reason, a person who is having a professional certification gets more weightage at the time of consideration.

A data scientist's job is challenging, exciting, and crucial to an organization’s success. So, it is no wonder that there is a rush to enroll in a Data Science course to be eligible for the job. But, while you are at it, you also need to have the awareness regarding the job responsibilities usually bestowed upon the data scientists in a business organization, and you would be surprised to learn that the duties of a data scientist differ from that of a data analyst or, a data engineer.