Data science is one of the market’s most trending and popular career options in the technology field.
Despite how simple it may seem, Data science is a fast-growing and highly competitive field. Starting a career as a data scientist is not easy, therefore persistence is a must if you want to succeed.
To begin a job in data science as a beginner takes a lot of education, experience, and conceptual understanding.
In this guide, we have tried to help people who want to start their career in data science with almost no experience and knowledge.
- What is Data Science?
- What does a data science engineer do?
- How to start your data science career
- Important data science skills to master
- Roles and Responsibilities of a data science engineer
- Is it hard to get a job as a Data Scientist?
- Is a career in data science worth it?
- Final Words
What is Data Science?
Data science is the field of study that combines subject-matter knowledge, mathematics, statistics, artificial intelligence, and computer engineering to draw out useful insights from data.
The primary purpose of using data science is to collect data, process it, analyze it, and filter information from raw data.
Data science uses the most advanced hardware, programming languages, and algorithms to resolve data-related issues.
The future of artificial intelligence lies in it.
Simply expressed, data science is all about:
- Presenting the right questions and analyzing the raw data
- Using various advanced and effective algorithms to model the data
- Visualizing the data to gain a deeper understanding
- Understanding the data to find the final result and make better decisions
What Does a Data Science Engineer Do?
A data engineer is responsible for creating systems for gathering, validating, and preparing high-quality data. Data engineers collect and prepare the data, while data scientists use the data to support better business decisions.
The data engineer/ strategist’s job is to find and integrate new datasets that can be used to expand the functionality of the business and collaborate with the technical team to develop data products.
Relevant read: How long does it take to learn data science?
How To Start Your Data Science Career?
There are a few questions you should ask yourself before planning to pursue a career as a data scientist:
- Do you love statistics, numbers, and graphs? Data science is entirely based on Maths and statistics. If you don’t like math, statistics, and numbers this is a red flag for you. If you don’t like working with numbers, you will find your job frustrating later in your career.
- Before advancing to a justified data scientist position, are you willing to learn and work at the entry level?
- Are you able to program easily? Data scientists should be comfortable using a variety of programming languages, including R and Python.
You can move forward and begin learning the data science abilities once you have a positive answer to the questions above.
Let’s take look at the steps to Becoming a Data Scientist
Step 1. Get an undergraduate degree in data science
To become a data scientist, you must first get an undergraduate degree in data science or a closely related field.
Most employers will want to see a bachelor’s degree to hire you as a data scientist. Getting a bachelor’s degree in a field like data science, statistics, or computer science is an excellent way to get started in this profession.
A senior professional with a bachelor’s or master’s degree in IT/ computer engineering can pursue a career in data science by upgrading and retraining through online data science courses.
Step 2. Develop your skill set
Even though a Bachelor’s degree may give you a theoretical understanding of the topic, it is important to brush up on your programming, technical, and non-technical skills.
Below are some of the most necessary skills you require for this job.
- Technical skills like Machine Learning, Deep Learning, Processing large data sets, Data Visualization, Data Wrangling, Statistical analysis and computing, Mathematics, Programming, Statistics, and Big Data.
- Non Technical skills like Strong Business Acumen, Strong Communication Skills, and Great Intuition on data that you are working on.
Check out our list of top data science books that will upgrade your skill sets.
Step 3. Get Certifications in Data Science
Getting Data Science Online Courses & Certifications is a great way to showcase your skills. Instead of buying random data science courses on the internet, try to get free certification from trustworthy sources like Simplilearn, Naukri, and LinkedIn.
Here are some free certifications of data science tools to help you on your way:
- Tableau Certification Training Course
- Power BI Certification Course
- Data Science Online Courses
- Certifications in Data Analytics
- Data science with python
- Data engineering and smart analytics
These two are the most widely used tools among data scientist professionals and would be an excellent addition to begin your career journey.
Step 4. Find Internships and Entry-Level Jobs
The best way to enter the data science field is through an internship. Find a position that can help you improve your skills and help you to grow in your career.
After your internship, you can either stay with the same firm (if they are hiring) or hunt for entry-level opportunities for data scientists, data analysts, and data engineers.
You can earn experience and work your way up in your career as your knowledge and skills expand.
At WebPipl, we use AI and NLP technology to help identify top tech candidates, but we also rely heavily on our recruiters to ensure that we’re selecting candidates who are the right fit for our company culture.
To crack interviews with tech recruiters, candidates should focus not only on showcasing their technical skills, but also on demonstrating their ability to collaborate with others, solve problems creatively, and communicate their ideas effectively.– Contributed by Raju Thammala (founder of WebPipl)
Relevant read: Learn how to get a data science internship (full process)
Step 5. Go for Higher education
While a bachelor’s degree may be sufficient to get you started in the ideal job and gain the necessary real-world work experience, a master’s degree in data science would help you to enhance your knowledge and empower you to grow in your field.
This work experience can make you more appealing to an employer for a high-level Position like a Data scientist. Here are some master’s degree options available:
- Master of Computer Science in Data Science
- Master of Data and Network Analysis
- Master of Applied Data Science
- Master of Science in Data Science
Important Data Science Skills To Master
There are two different types of skills required to master data science:
1. Technical Skills
Statistical analysis and computing, Machine Learning, Deep Learning, Processing large data sets, Data Visualization, Data Wrangling, Programming, and ig Data are some important technical skills that are required in master data science
2. Non-technical skills
Some of the most important Non-technical skills include Strong Business Acumen, Strong Communication Skills, and Great Data Intuition. You need to have the skill to make the right judgments and take quick decisions in this job.
Roles and Responsibilities of a data science engineer
These are some common tasks data science engineers perform while working with data:
- Get datasets that meet the needs of your business.
- Develop algorithms to turn data into information that can be used to make decisions.
- Construct, analyze, and keep up database pipeline architectures
- Collaborate with management to understand company objectives
- Create innovative data validation techniques and technologies.
- Make sure that the rules for data governance and security are being followed.
You can also take references from the data scientist job description on Linkedin.
Here’s a data science career tip from a data scientist:
Focus on Core Fundamentals
Start by gaining a solid understanding of statistics, mathematics, and programming, and then apply these skills by working on projects that interest you to gain practical experience and build a portfolio that showcases your abilities.
Continuously learn and stay up-to-date with the latest advancements in the field. Network with other professionals and attend industry events to expand your knowledge and build connections in the field.
As a data scientist, it’s crucial to have strong documentation skills in order to effectively communicate technical details, insights, and results to stakeholders. Documentation not only helps to ensure the reproducibility and transparency of your analysis but also facilitates collaboration and knowledge transfer within teams and projects.
I highly recommend investing time and effort into learning how to create effective data science documentation.Contributed by Edward Pinela III, Senior information technology project analyst and CEO at Lightray Solutions
Is it hard to get a job as a Data Scientist?
A Data Science job is not as easy as it looks. It is not a field where you can get a job after taking a 15-day course. Data Science requires discipline, and determination while learning.
Data science is the field of people who are interested in numbers, Stats, and engineering.
Most people choose this career because of its perks and high demand, despite the fact that this field does not interest them in any way.
“Businesses seek out talented individuals for Data scientist positions. Getting a data science course certificate does not make you a data scientist.
You need expertise, Knowledge, and years of experience to be a data scientist.”Ronald Van Loon (Big data and Analytics Course Advisor at Simplilearn)
In an interview with Simplilearn, he talks about developments that will drive the need for more data scientists in the future and the current state of demand for data scientists.
Although, you can apply for entry-level data science jobs like data engineer and data analyst with an undergraduate degree and data science courses.
Not sure which job profile to choose in data science?
Check out our guide on different job types in data science where we have shared important job profiles to consider before choosing your career.
Is a Career In Data Science Worth It?
Yes, a job in data science offers excellent opportunities for the future. Data science professions are among the most rapidly increasing and in-demand in technology.
According to the US Bureau of Labor Statistics, demand for data science skills will rise by 27.9 percent by 2026.
According to a McKinsey report, this will result in a shortage of between 140,000 and 190,000 analysts in the United States alone.
In addition to the 1.5 million managers and analysts who will need to understand how data analysis drives decision making.
Glassdoor has referred to a Data Scientist job as the “greatest job in America” and Linkedin has labeled this job title as “the most promising career” because of its high demand, attractive salary, and all other benefits that come within.
- Understand what is data curation in data science?
- Looking for companies to apply as a data scientist? Look at the top data science companies In Bangalore.
The demand for Data scientist jobs has increased with their salaries and Data Scientists can often expect to earn six figures. Demand in this field also gives you the opportunity to relocate much more easily, both domestically and abroad.
Before Pursuing this career, make sure this field of data and numbers interests you or else it will be difficult for you to survive in this field in the future. This guide provides guidance that can get you started with your data science career and help you to avoid some costly mistakes.
Samruddhi Chaporkar is a Technical Content Writer of science and technology with a academic qualification in Bachelor’s in Computer Applications (BCA). Her love for writing and knowledge of computer science helps her write about trends in the technology industry that help people understand the ins and outs of the world of technology.