How can a fresher start a career in data science?

09-Nov-2021

Data science has emerged as the most enticing profession of the twenty-first century. The advent of data science has equipped industries with data-driven decisions, which further enhances their operation and productivity. 

With analytics becoming a priority in every sector and company, the demand for data scientists is expanding and growing exponentially. Hence there is no reason why freshers cannot become data scientists. And the demand for skilled data scientists will only keep surging.

If you're stuck and overwhelmed by the prospect of navigating how can a fresher become a data scientist, let us go through this blog and prepare you for the best.

Becoming a data science expert is no rocket science and has no distinct path that beginners cannot venture into. If you are wondering can a fresher learn data science, the answer to it is yes. However, one should be adept in mathematics, statistics, and computer science.

In India, there has been an increasing number of fresh graduates entering the workforce with data and analytical abilities. So if you are an aspiring fresher desiring to join the band of smart professionals, rest assured you can. 

The other fact that the future of this field is remarkably promising and rewarding should allure freshers to pursue this career path. India has n extensive information technology ecosystem, particularly in programming and systems integration hence attracting scores of fresh graduates fueling the expansion of the country's analytics outsourcing business.

How can a fresher start a career in data science?

If you are enthused by the growing demand and high-paying jobs in the field of Data Science and wondering how can a fresher become a data scientist, let us get into the detail of learning data science.

Enroll in a data science course

The first and foremost step to secure a good start is to plan out your graduation degree relevant to the field of data science. It is desirable that you obtain an undergraduate degree in mathematics, statistics, or computer science. 

While it is desirable that you have a graduate degree, it is not mandatory. To provide opportunities and train professionals there are multiple other platforms. Beginners can always enroll in online data science certifications and data science courses to gain the necessary abilities.

Enrolling in a college degree or a data science course entails acquiring the required skills which is the only way to become a data science professional. As a data scientist, you are required to perform several tasks that involve skills and expertise in programming, machine learning, data visualization, statistics, mathematics, and other talents. You will also need to possess effective communication skills, leadership qualities, and teamwork.

Find your niche by selecting your specialization

It is always preferable to focus to build a specific area of interest. Before you begin with any data science certification, choose from the variants of areas in Data science ranging from database management, machine learning, research, or artificial intelligence as a specialization and work to create strong skills. Having a specialization with certification will boost your earning potential as well as your opportunities.

Data science certification training programs are offered at multiple institutes and universities to supplement and enhance your already existing knowledge. While earning a college degree in the relevant fields gives you the foundational knowledge, signing up for a data science certification course further provides you with an edge.

A data science course not only gives you exposure to industry-relevant skills and demands, but the training involved will also make you job-ready.

To put it concisely data science certification training will make you have the following potentials:

• Recognize the data science life cycle and real-world project methods.
• Understand the methods for resolving real-world data science issues.
• Learn how to solve a challenging data science project pipeline step by step.
• For data analysis, practice statistics.
• Learn how to use python for data science and the most relevant python libraries.
• Attend advanced SQL training seminars to learn how to analyze large databases.
• Stakeholders should be informed about data science programs and findings.
• CV, NLP, CNN, and RNN fundamentals
• Data visualization, data exploration, and feature engineering are all skills that may be learned.
• Developing reliable machine learning models
• Learn how to use the most significant python libraries.

Internships and Entry-level Jobs are a Bonus

Obtaining at least an entry-level position is the most effective way to study data science. Acquiring talents and specializing won't be enough. Only on the job will you be able to gain valuable data science skills and exposure. Internships also open you to all these opportunities.

You will also have the opportunity to create a portfolio to present to potential employers. Choose a company with room for expansion or a small company where you will be able to wear numerous hats. Your skillset will grow as a result of this.

As we have elaborately discussed your queries as to whether can a fresher learn data science and the career paths towards pursuing the field, it's best you start now and obtain all the prerequisite knowledge and excel in your profession.

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