Data Scientist Complete Road Map
It is very important to have a clear road map to become a data scientist because this is a field that is very broad and requires deep understanding, So in this blog, a complete roadmap is given below which will help you to become a Data Scientist.
What to learn?
You have to learn many things in this like:-
What is data science?
Role and responsibilities of a data scientist.
Solving business problems through data.
Data Scientist Complete Road Map
Identify the required skills:-
Programming Language:
Python: For data analysis and machine learning. Python is a very easy language, you can easily learn it in 1 to 3 months.
R: For statistics and data visualization. After learning this you can easily visualize the data.
Machine Learning:
Concepts:
Supervised Learning: Linear Regression, Classification.
Unsupervised Learning: Clustering.
Libraries: Scikit-learn, TensorFlow, PyTorch.
You can become an expert in machine learning by learning all these things.
Statistics and Mathematics:
A data scientist must have an understanding of basic mathematics such as:-
Understand topics like Probability, Statistics, and Linear Algebra.
Data Scientist Complete Road Map
Big Data and Cloud Platforms:
A data scientist must know how to use some important platforms like:-
Knowledge of platforms like Hadoop, Spark, and AWS.
To become a data scientist, you can initially purchase some courses like this course is best for data scientists on Coursera and it also gives you a certificate.
Google Data Analytics Professional Certificate (Coursera).
And this course will be best for you for machine learning.
Machine Learning by Andrew Ng (Coursera).
Data Scientist Complete Road Map
After having some knowledge of data scientist, you can work on some projects, scan some knowledge about machine learning, apart from this, there are many competitions in which you can participate, through which you will get to learn a lot.
After this you can give the interview but before giving the interview you should have complete knowledge about Python, SQL and Machine Learning Analysis because a lot of questions related to this are asked in the interview.
If you want to prepare for the interview then these two platforms are best for you where you can prepare very well for the interview, (LeetCode, HackerRank).
Now that you have learned so much, you have to create a portfolio to share your knowledge with people. You can create a profile on ringtone where you can share all your knowledge. Whatever practical work you have done, you can also share it there.
Data Scientist Complete Road Map
Complete Timeline (6-12 months):
If you follow this timeline, you can become a data scientist within a year.
1-3 months:
Learn Python, SQL, and basic statistics.
4-6 months:
Practice machine learning and data visualization.
Work on small projects.
7-12 months:
Participate in advanced projects and Kaggle competitions.
Prepare resume and portfolio.
Friends, if you are interested in this field, then you can learn it quickly by devoting more time to it, but for this, you will have to improve your combination skills as well, because many times we have to talk to people from other countries too.
Data Scientist Complete Road Map
Job Opportunities
Talking about the scope of data, in the coming time everything is going to depend on technology, so in such a situation the role of data scientist increases a lot, for this you are not going to face any problem, if you have good knowledge of skills then you can become a good data scientist.
So I hope you have learned a lot from this blog. If you want to get more information related to this, then you can get more information by clicking on the link given below.
Data Scientist Complete Road Map