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Most demandable skill in India | free in great learning
As you know that, this is time of skill not of degrees. Without any skill you will may rejected from many companies still having best degree to you.
I you searching for most demandable skill in India means that you are the type of people who want to skilled yourself and get their best version of yourself.
If you don't know what are skill and their scope. Here I will give you all detail. Do you know on an average data scientist salary in india 10 lakh per annum. You may think if this course have high demand then they course price is very high, yes but there are some platform here you may lean free of cost their basics and get certificate of completion. You may use this certificate to make your LinkedIn profile.
Why we learn these extra skill
Many people think that I get my graduate, Post graduate and many more degree then why we learn all these thing.
Then I want to say to those people yes, you are doing your graduation and post graduation but are you have skill to analyse the data and making excellent presentation for clients. If not then you must be learn all these thing.
But nowadays most of college of our country is not studies these skill. So you may learn these thing to any other offline or online institution. If you are able to learn all these demandable skill by paying some money to institute then ok if not then there is free platform which also give you basic of all these thing and also getting completion certificate.
Platform which provides free best course to improve skill
There are many these type of platform but from my point of view Great learning and simple learn best platform.
Also there are many platform which give first free of cost but after getting placement you have to pay best platform to all these platform will be Massai school.
Most demandable skill in Indian
1. Data analysis
2. Machine learning
3. Content writing
4. Power point
5. Excel
6. Android app development
7. Web development
8. Graphics designer
1. Why we do data analysis course
Before going into scope of data analysis, it is must to know what is data analysis.
What is data analysis :-
Data analysis is define as a process of cleaning, transformation, and modelling data to discover useful information for business decisions making. The purpose of data analysis is to extract useful information from data and taking dicision based upon data analysis.
Advantage of data analysis
There are four major advantage
1. Improve decision making
2. More effective marketing
3. Better customer service
4. More efficient operation
Scope of data analysis
As you know that, this is the time of digital things. All the thing today gone digital shopping, foods, grocery etc. All these companies want to give their better survice to customer, so they required a best data analyst to analyse their customers data and behaviour. After getting customers data and behaviour company optimise their marketing strategy and increase their sales.
If you will be best data analyst then it will very easy to getting job in many companies without any degree.
2. Why do we do machine learning
Before going into deep of machine learning we must know what is machine learning.
What is machine learning
Machine learning is part of computer science and artificial intelligence. In which we learn about automatically prediction using data and algorithms that imitated by human behaviours.
Scope of machine learning
As I told it is part of artificial intelligence that can predict data and algorithms using old data and algorithms, so it is very vast use in stock market to predict pattern. Which make profit to people by trading in intraday, swing and any other trade. So high demand of machine learner expert or you may also use these skill to self to trade in stock market.
3. Why do we do content writing
Many company want to describe their products and services through the article. They need expert SEO based content writer.
By learning content writing you may also tell about your own product and survice. Get more conversion of your product or survice.
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