Data Scientist

B.Sc. Data Science is a 3-year full-time course that comes under the domains of Computer Science, Business Analytics, and Artificial Intelligence. Basic eligibility for this course is almost the same in all the colleges, which is: 1) Students must have completed Class 12th with science stream. 2) The subjects should be Physics, Chemistry and Mathematics. If a student has studied Computer Science as an additional subject, then it will be treated as an advantage. So, I am afraid you won't have much of a chance of opting a career in Data Science. But do not worry, there are a lot of courses and paid internships offered by different learning platforms which help you to master in this topic from scratch and by doing so, also help you to grab job opportunities and work out of passion. Hope this helps. Best of luck.

Hi,
There are two routes people usually take after being a Lead Data Scientist: go into management and become an Executive or become a technical subject matter expert. To get started in any data Science role, earning a degree or Certificate can be a great entry point. Bachelor's degree: For many, a Bachelor's degree in data Science, business, economics, Statistics math, information technology, or a related field can help you gain leverage as an applicant
Apart from these entry-level roles, a data scientist can fit in as a business intelligence developer, analytics engineer, data specialist, data manager, data architect, machine learning scientist, statistician, etc. The job opportunities are overwhelming and astounding.

Hi
In most cases, you will need at least a Bachelor's degree in a related field to get an entry-level job as a data scientist. However, for many non-entry level jobs in the data Science field, you will need a master's degree. Roughly four out of every five data scientists have a master's degree. So, the answer is YES! Now you can be a data scientist without a formal degree. You just need to follow this DataFlair's guide, only 5 steps towards your data scientist journey without a master's degree. Data scientists typically need at least a Bachelor's degree in computer Science, data Science, or a related field. However, many employers in this field prefer a master's degree in data Science or a related discipline. Data analysts and data engineers usually need a Bachelor's degree. These factors must be regarded if you want to continue your data Science career as a fresher and will help you to know how to become a data scientist after 12th. Bachelor's degree in computer Science, Statistics or information technology is required. Participate in the Internship programme for Data Scientists.

Professional Development programme (PGP) courses are unparalleled when it comes to providing comprehensive training and knowledge. Many other types of schools and universities, as well as other training centers, provide classes on this topic. Therefore, getting your PGP via an established educational organisation is preferable than taking online courses from an individual supplier. Ultimately, I decided that NIIT was the greatest option for me to master data Science and analytics, beating out both Coursera and Udemy. Courses are comprehensive and easy to fit into busy schedules, and participants get guidance from professionals in the field during the duration of the programme. Through practical experience, you will be better prepared to use what you have learned in the workplace. They have a well-organized programme with mentors who are committed to seeing their mentees succeed. If they complete the course, they will be assured of a job.

Thanks to my advanced degree in data Science and machine learning, I have real-world expertise in these fields (Full-Time). My research included SimpliLearn and Udemy. After much consideration, I decided on NIIT since it is a legitimate academic institution rather than a simple online course provider. They assist those who want to pursue careers in data Science in developing their portfolios and preparing for the difficulties of the field. The exercise, the material, and the pricing at NIIT were all much more attractive. In choosing NIIT, I was drawn to its comprehensive curriculum, which included all of the fundamental topics my forebears had deemed important. Business leaders will be doing the presentations. Because of this, investing in them is a good idea. Fewer questions because of the straightforward language used. Doubt sessions are most useful when dealing with difficult issues or questions. The curriculum include of exercises including case studies, real-world projects, practice interviews, and resume building. Therefore, NIIT is unique among other digital learning resources. I obtained my first job with the aid of their job placement services. With the help of my course, I was able to not only expand my social circle, but also get insight into the current developments in the field of data Science and its implications for business.

Data Scientist is a technical course and involves use of subjects like Machine Learning, Data Analytics, python etc. A student with B.Tech / B.E. Or M.Tech / M.E. Degrees is generally preferred. However, if you take commerce, you can pursue your Bachelors in Statistics and learn relevant skills required for data scientist and pursue higher studies in the same field to become data scientist. There are various courses that are available NB online with the help of them you can learn data analysis. Coursera, linkedin, udemy, Eudonix etc. Provide this course. It is highly in demand now a days. There are online courses on data Science likeCrampete Data Science Course that give you a Certificate of completion which you can use to get a job as a data scientist. After gaining required skills you can apply for Interviews and get a job. Gaining a certification in data Science one can apply for jobs like analytics delivery model data analyst, senior data scientist, lead data scientist etc. Hope this answer is helpful for you.

Both are popular job roles, as per the World Economic Forum report. The key differences between the two are as follows:
1. Responsibilities: The data analyst collects relevant data from various sources to filter and analyze it. The data scientist gathers sizable amounts of structured and unstructured data while performing data mining.
2. Education: To become a data analyst, you can apply with a Bachelor's degree in math, Statistics or a related field. Data scientists typically pursue a master's Diploma or degree in data Science.
3. Salary: The salary of a data scientist is usually higher than that of a data analyst. According to global estimates, a data scientist can earn around $100,000 per year, whereas a data analyst can earn around $70,000.