The basic principle of robotics and AI

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Artificial intelligence applied to robotics development requires a different set of skills from you, the robot designer or developer. You may have made robots before. You probably have a quadcopter or a 3D printer. The familiar world of  Proportional Integral Derivative  ( PID ) controllers, sensor loops, and state machines must give way to artificial neural networks, expert systems, genetic algorithms, and searching path planners. We want a robot that does not just react to its environment as a reflex action, but has goals and intent—and can learn and adapt to the environment. We want to solve problems that would be intractable or impossible otherwise. Robotics or a robotics approach to AI—that is, is the focused learning about robotics or learning about AI? about how to apply AI tools to robotics problems, and thus is primarily an AI using robotics as an example. The tools and techniques learned will have applicability even if you don’t do robotics, but just apply AI to
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\What is Scope of Data Science in India ?

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Data Science is a broad field that has data at its core, as the name suggests. This data is accumulated, arranged and analyzed to examine its effect on businesses. Data scientists choose and build appropriate algorithms and models to analyze data better and uncover insights from them.


A data science platform comprises of all the tools needed for carrying out the lifecycle of the data science project spanning various phases such as data ideation, integration and exploration, model development, and model deployment. It enables data scientists to improve their analysis by running, tracking, reproducing, sharing, and deploying analytical models faster. Typically, such tasks need massive engineering for building and operating analytical models. This is where a data science platform can help by offering additional powerful tools to improve analysis, which in turn, allows the framing of better strategies.

Huge Demand in India

There is a huge demand for skilled professionals in India. Job profiles such as Data Scientist, Data Analyst, Big Data Engineer, Statistician are being largely hunted by companies. Not only they are being handsomely paid, but a career in analytics has much more to promise.

Scope Of Data Science In India
Identifying opportunities, framing better business goals and making effective decisions are some of the best applications of data science. This is why professionals who can analyze and derive insights from data have become more important than ever today!

The scope of data science In India includes organizations in banking, healthcare, biotechnology, pharmaceuticals, telecommunications, e-commerce, energy, and the automotive industries.

From a global perspective, India is only second to the United States of America to recruit data science professionals. Among cities, Bengaluru accounts for the highest number of data science & analytics jobs, about 27% of the jobs. It was followed by Delhi NCR and Mumbai

Future, Seriously requires Data scientists a lot and companies will hire a lot of Data scientists. If you want to build up your career in Data Science, having a proper Data science course is important to have a better foundation. There are a lot of institutes and online platform who provide this course. After you accomplish all the needs for being a Data scientist you are good to go.

Data Science Salary
As you can see, 3 out of the 5 highest paying professionals are related to Data Science! Hence if the only salary is your concern, Data Science is the right path for you. In India, salaries vary from 0-3 lakhs to 1 crore plus, all based on your skills and experience.

How to Start a Career in Data Science in India?  
Due to its multi-disciplinary nature, Data Science requires you to have a broad set of skills, including knowledge of Mathematics, Statistics, Computer Science and Hacking/Coding, coupled with substantial expertise in business or a field of science. Knowledge about the concepts of Artificial Intelligence and Machine Learning are also beneficial.

Thus, to build a career as a Data Scientist, degrees in Mathematics, Statistics, Economics, Engineering, Computer Science, etc. can help form a good base.

What essential skills are required for becoming a data scientist?

A data scientist is required to do the following task—



Extract and clean data (using R/Python)
Analyze data using statistics
Present data using tools like Tableau
Build predictive models using machine learning algorithms
Depending on your experience and your skills, you can be required to do one or all of the above tasks. Plus, of course, your salary varies according to the responsibilities you are assigned. If you‘re doing all of the above tasks, you, are obviously paid the most. But, get your hopes high, as a beginner you are mostly required to extract data, clean it, and analyze it. While you gradually learn other things.


  • You should know R, Python.
  • Statistical analysis
  • Machine learning algorithms like Linear Regression, Logistical Regression, etc
To know more about the skills and tactics about a data scientist, please to this very informative blog, that tells about the Data Scientist in details from Data science Certification 


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