If you are passionate about data science, but unable to pursue it further, there could be one common thing that’s stopping you – your lack of coding skills. You feel inferior to coders, and you put away your dream in a corner of your mind! However, wouldn’t it be great for you to know that you can indeed become a data scientist without knowing to code or without having to type any code?
Check out 360DigiTMG’s data analytics course in Pune, Bangalore, Hyderabad, and other regions of India and become certified professionals.
Yes, you heard that right! Though you may find many data science jobs that still require you to know the codes of Python and R programming languages, you may still find some jobs in the field of data science or data analytics that require very little or no coding at all. The traditional concept of data science definitely wanted its people to know to code; however, times have changed now. With new technologies coming up in this field, data scientists can do their jobs without typing a single code. However, for more complex and bigger projects, you do have to use coding for accurate solutions.
Thanks to these new technologies, you can still follow your dream of becoming a data scientist even if you don’t have expert technical skills. Keep reading to know more about how you can become a data scientist despite not knowing to code.
Data Science Jobs where coding may not be needed at all
Listed below are some job profiles where you may not do any coding at all. However, please note that you need to be strong in your other data science skills like math and statistics to excel in these jobs. Even if you don’t know any programming language like Python or R, you should be very strong in concepts like linear algebra, calculus, probability distribution, hypothesis testing and regression analysis for these jobs:
- Data Science Strategy Consultant
As a data science strategy consultant, your job will involve setting up the data science team in your company, and chalking out the plan for the future. Deciding on sources from where data has to be generated, knowing what to do with the large volumes of structured & unstructured data, planning on how the data has to be presented to improve the overall profitability of the business and more are some responsibilities of this profile.
- Data Science Software Writer
You need not know to code, but you have to have strong knowledge of software and data science for this job. As a technical writer for data science software, you will design the software manual, and set up the instructions that coders will use. You will work with software developers, end users and other stakeholders to write the end-to-end processes of the data science software.
- Technology and Data Science Recruiter
If you have strong knowledge of data science, you can become a recruiter for this field. You need to have an eye for spotting the right talent and skills for this job. You may not need to know to code for this job, but you need to know about the latest trends & tools used in data science for effective research. This way, you will recruit the right person with the right technical skills to join your company’s data science & research team.
- Sales Representative
A sales representative’s job is to promote his company’s products among the target audience. If you join as a sales rep in a data science company, you only need to have enough knowledge of its data analysis and data visualization tools. You need to generate leads, finalize contracts with potential customers and add to your company’s end-user list.
- Data Science Project Manager
As a data science project manager, you don’t have to do the actual work; but, you have to supervise the team that does. While you should know the tools your team uses to create the analytical & predictive models from the data, you don’t need detailed technical knowledge of coding to understand these. You will be required to present the final versions to clients and stakeholders, so you require more management and communication skills rather than technical skills.
- Data Visualization and Business Intelligence Expert
As we already said, you need to be very strong in your data science skills to get into a profile that doesn’t require code. One such skill is the knowledge of data visualization tools like Power BI, Tableau, Qlik Sense, MicroStrategy, ThoughtSpot and more. You can get involved in using the navigation features of these tools to present the data in the dashboards on these tools. You need expertise in these tools and excellent reporting skills for this job.
Steps to follow to start your data science career without knowing to code
- Enroll yourself in a data science course
Before you apply for a data science course that doesn’t require coding skills, you should upgrade your data science knowledge by enrolling yourself in a good data science course from a reputed institute. 360digiTMG Pune is a great choice for you to equip your data science skills fully before you pursue your career in this field. It offers many short-term and long-term data science courses; you can choose the one that suits your budget and time constraints the best.
- Brush up your knowledge of the data science basics
Though this course might teach you most of the basics, it is a good idea to research other sources, and get your fundamental math and statistical concepts right. Even if you have no idea of coding, you must have strong knowledge of other computing tools & techniques like data analysis (Advanced Excel) and data visualization (Tableau and Power BI) to get an edge over your competitors.
As you can see from the above points, coding is definitely not a mandatory skill for data scientists. However, you should be ready to go the extra mile and learn in detail about the other concepts used in data science like math, statistics, data analysis, data visualization, machine learning, AI and business intelligence. This will help you get a job in one of the data science profiles with big companies, even if you don’t have coding skills. In short, we can say that what you lack in coding, you should more than make it up with your strong knowledge of other data science concepts to succeed in this field.
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