Advanced data solutions, services, data science, ML, AI, analytics (2024)

FAQs

Which is better AI ML or data science? ›

AI might automate certain aspects of data science, but it's unlikely to replace it completely. Data science involves critical thinking, domain expertise, and interpretive skills beyond AI's current scope. Humans are essential for framing problems, making ethical decisions, and providing insights that machines cannot.

Data science interviews can be particularly difficult due to the many proficiencies that you'll have to demonstrate (technical skills, problem solving, communication) and the generally high bar to entry for the industry.

Data science is a constantly evolving field that requires continuous learning. The learning curve for beginners is steep, owing to the challenges faced in learning programming languages. So, “Is data science hard?” No, individuals with familiar knowledge and an interest in the field do not find it difficult.

According to PayScale, the average data scientist salary is 812, 855 lakhs per annum while artificial intelligence engineer salary is 1,500, 641 lakhs per annum.

AI Scientist Salaries in India

The national average salary for a Ai scientist is ₹20,00,000 in India. Filter by location to see Ai scientist salaries in your area.

The data science interviews are divided into four to five stages. You will be asked about statistical and machine learning, coding (Python, R, SQL), behavioral, product sense, and sometimes leadership questions.

Does a Data Science Interview Require Coding? Some companies will demand data science skills in programming and will include a coding section in an interview. For a company willing to hire a no-code data scientist, this would likely not be a part of the interview process.

No, if one has learned the right set of skills, data science will not be a hard job for them. The field of data science is new and has not matured fully yet. So it might seem difficult when you start. But once you learn the nuts and bolts of it, it is not a hard job.

What is the hardest thing in data science? ›

Data quality:

One of the greatest challenges facing data scientists is ensuring that the data they work with is of the highest quality. Low-quality data can result in inaccurate or incomplete insights, making it difficult to draw meaningful conclusions.

Getting a job as a data scientist isn't easy and you need to be very persistent to succeed in this field. One does not become a data scientist overnight. It takes a lot of learning, experience, and understanding of the concepts, especially if you want to start a career in data science as a fresher.

Data Science jobs are currently some of the most paying in India, with an average annual salary range of ₹ 4 Lakhs to ₹ 25 Lakhs. Data Science salary in India may vary depending on your skill set, years of experience, job profile, location, and the company.

Share: Contrary to the popular misconception, AI isn't complicated or hard to learn. But you must have a knack for programming, mathematics, and statistics to grasp the fundamental concepts.

The complexity of AI topics you want to master

For someone with foundational knowledge in mathematics and programming, it could take anywhere from 6 to 12 months of consistent study to develop an understanding of Artificial Intelligence basics and get comfortable with Machine Learning processes.

Data science combines statistical tools, methods, and technology to generate meaning from data. Artificial Intelligence takes this one step further and uses the data to solve cognitive problems commonly associated with human intelligence, such as learning, pattern recognition, and human-like expression.

Overall, data scientists are responsible for collecting and analyzing data to extract insights, while AI engineers focus on using those insights to create AI-powered solutions that can improve business operations and develop new products.

Both these professions can offer high earning potential. Typically, a machine learning engineer earns a slightly higher salary than a data scientist. On average, a machine learning engineer makes $109,983 per year . This varies depending on their level of education, years of experience and location of employment.

Considerations for Choosing: Interests and Skills: Assess your interests and skills in programming, mathematics, statistics, and problem-solving. Data science requires a strong foundation in data analysis and statistics, while AI leans more toward mathematics and programming.