Degree vs skills: Learn how data analyst training can get you a job interview as a data scientist.

Degree vs skills: Learn how data analyst training can get you job interview opportunities as a data scientist

How data analyst training can help you get a job interview as a data scientist? This is one of the most anticipated questions on the internet. It is often asked by people who are aspiring to become a data scientist, or already have a data analyst job and want to transition their career to the role of a data scientist. 

In this blog, we will see how you can easily get data scientist job opportunities. But before that, note one thing, when it comes to degree vs skills, the field of data science always gives importance to skills no matter what your degree looks like. So, even if you don’t have a relevant degree but have the required skill set, you will be readily hired as a data scientist. Let’s find out how! 

Why Become a Data Scientist?

Why do a large number of people want to become data scientists? What is something about this field that everyone is attracted to, despite so many complexities? Here are your answers. Following are the reasons why the job of a data scientist is very popular :

1. Rising Demand for Data Scientists 

The demand for well-qualified and talented data scientists is much higher than the supply. A LinkedIn study has shown that the USA alone is facing a shortage of 151,717 data scientists. So, it is clear that if you become a data scientist, there will be no shortage of job opportunities. 

2. More and Better Pay 

Data scientists get paid amazingly well. They are among the highest-paid professionals in this field. According to Payscale, data scientists earn nearly between $67k and $134k per annum. That’s a massive rise after looking at the salary of data analysts, who get paid around $43k to $85k.

3. Constantly Evolving Field 

Data scientists don’t have a fixed job role. Their position varies from industry to industry and business to business. They always have new and exciting projects and problems to work on. Note that, the demand for Data Scientists is increasing heavily in every field, be it retail, healthcare, sports, or e-commerce. In a nutshell, a job as a data scientist offers plenty of opportunities to grow and succeed. 

How Data Analyst Training Can Get You Job Interview Opportunities as a Data Scientist? 

If you’ve passed a good time as a data analyst and now want to enter the field in a more formal and powerful way, then below are a few steps that will help you get a job as a data scientist:

1. Take the Right Data Scientist Course 

The very step for transitioning your career from a data analyst to a successful data scientist is to take the right data scientist course with job interview. The right course will not only help you learn data science online to acquire the necessary skills, but it will also help you secure a good job through its job interview guarantee. 

2. Create an Impactful Portfolio 

Whether you’ve completed your data analyst training or currently working as a data analyst looking for transitioning as a data scientist, build a powerful portfolio. As you slowly learn the skills to become a data scientist, you will enter the process of developing your portfolio 

For instance, if you’ve worked on a real-time project, put it on GitHub, and list it in your portfolio. Create a handful of case studies and articles, and share them in your portfolio. By having your work, skills, and experience listed in one place, you will have something impactful to share with your interviewer or employer. 

3. Apply for Jobs 

Finally, start applying for the data scientist jobs that match your interest areas. As we have already discussed, data science is a vast area and has applications in almost all industries. What you need to do is, find the job roles in the industries that you’re most comfortable working with. This will make your life as a data scientist much more relieved and enjoyable as you get to work in the area you’re most interested in. Also, when you apply for jobs, don’t worry about rejections. Have patience and be confident because when you have the right skills, you will sooner be spotted by employers.  

4. Grow Your Network 

Last but not least, grow your network in the field of data science. The good thing about being a data analyst is that you already have a network in this industry. All you need to do is move towards the data scientist community. It will help you learn about the industry, different job roles, challenges, growth, and opportunities it offers. 

So, these are the steps for becoming a data scientist from a data analyst. While it’s true that being a data analyst can give you an upper hand in this field, you have to build an entirely different skill set to land a job as a data scientist. The best way, to begin with, is to take the right course from a known institute

Understanding the Role of Data Analytics for E-Commerce Success!

The demand for data analytics in e-commerce is on the rise. Data analytics is a key tool for understanding the behavior of your customers and prospects, allowing you to make data-driven decisions. Data specialists have a promising future in this industry, and companies are clamoring to find talented individuals who can help them better understand their consumers’ desires.

The increased use of data analytics will be pivotal for businesses that want to stay competitive in today’s marketplace. This blog post will discuss how data analytics can help e-commerce businesses succeed in today’s competitive marketplace.

Role of Data Analytics in E-commerce Success

Data analytics plays an increasing role in e-commerce success. Companies are looking for data analysts with the skills to help them gain a competitive advantage by understanding customer needs, behaviors, and trends within their industry. More specifically, companies rely on data analytics professionals to find:

  • Targeted customers that they would not have reached otherwise
  • Deep insights into areas such as product development and merchandising
  • Actionable information on factors such as click rates or session times across devices (desktop vs. mobile) can be used to improve online conversion rates

In addition, these new positions require individuals who can communicate effectively throughout a company’s hierarchy—from senior management down to marketing teams—to ensure all stakeholders have access to the information they need to make informed decisions.

Data is also playing an increasing role in offline commerce. The challenge of understanding customer behavior across channels has led to the increased demand for data analysts with a comprehensive view of all aspects, including brick-and-mortar retail and online sales and promotional efforts.

A growing number of companies are seeking specialists who can collect, cleanse, manage and analyze large amounts of disparate datasets at scale, helping them gain insights about their customers that were previously hidden or difficult to address.

Companies have access to more sources than ever before—from internal company databases such as CRM systems (customer relationship management) and ERP systems (enterprise planning) through social media platforms such as Facebook or Twitter. In addition, companies are finding new ways to interact with their customers and gather data through mobile apps and other interactive tools that enable them to obtain information about customer preferences (e.g., location) in real-time.

What kind of skills are required to succeed as a data specialist?

For a successful data analyst, it is important to have strong analytical skills. You need to ask the right questions and then find and understand relevant information (data). Some of the other qualities that are needed include:

  • Ability to work with large datasets
  • Attention to details
  • Analytical thinking rather than creative thinking
  • Ability to identify patterns
  • In-depth knowledge of statistical concepts like standard deviation, correlation, and regression analysis.

Have a promising data specialists career with Imarticus Learning

Big data analytics courses in IndiaImarticus Learning offers a data analytics certification course that prepares you for a high-growth career. Our unique combination of analytics courses helps students build strong foundational skills and practical industry exposure to build a successful career in the field of Data Science and Business Intelligence.

This course is developed and taught by industry experts with significant experience in analytics. It includes a range of topics, from basic statistics & probability theory to advanced machine learning techniques. This course will help you move forward in your career!

For more details, contact us through the Live Chat Support system or visit any of our training centers based in – Chennai, Mumbai, Thane, Pune, Bengaluru Hyderabad, Delhi, and Gurgaon

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 Covid-19 has changed the ways we lived. We are living amidst new normalcy, and we hope it fades out soon. Before we can unmask and return to normal, safety and health has to be a priority for all. The latter priorities being livelihood!

Yes, patterns of the industries have shifted, and employment and recruitment processes have changed. The parameters and eligibility criteria are moving to different alignment rapidly!

Does it put a question in the mind of what to do to advance and keep up the pace?

Well, the answer is simple to update and upgrade your skills. Those looking for an advance in their respective careers can look for new-age career programs. While those falling short of opportunities can consider shifting their career into a different industry.

Learn Data AnalyticsA practical approach and expert advice can work wonders for any task as it lays down a strategic path to be followed.

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