Question of the day how to become a data scientist in 2021. But first why you want to become a data scientist? let us go through the scenario of the world. Today we are living in the time of data and data has a very impactful role in our lives. Nowadays, every company wants to list itself among the top companies. Top 5 Emerging Technologies to watch in 2021.
To lift a company there is always a need for right and perfect decisions. To do a right a decision there is a need for related data about an upcoming decision which can help you to take a step. In that scenario, a data scientist comes which do such decisions which can uplift the company. So, to become a data scientist you need to follow the below paths.
There is always a need for programming language in computer-related advanced fields. To become a data scientist, you should be aware of Python, SQL, and R languages. You can get the tutorials of these languages on multiple websites.
But if you are a beginner then you should start from W3schools. SQL language will help you how to interact with the database. On the other hand, Python and R will help to perform statistical analysis and there you will learn many helpful libraries.
If you do not like maths and you want to become a data scientist then you must leave this field or learn maths. Top three sections of mathematics that you must have command in are Calculus, Linear Algebra and Statistics. Blockchain: Pros and Cons. What industries can get benefits? How exactly?
If you are new in this field there is no need to start each section from the start you just study the portion which is using in data sciences. Basically, mathematics is very core for data science so before step into data science, you must have a knowledge of mathematics.
Machine Learning is a branch of Artificial Intelligence which is the demanding field of the world. ML is a group of techniques that is used by data scientists that allow computer systems to learn from data. What is machine learning? How important is it? Where will ML have the most impact?
After learning from data these systems can identify patterns and makes a decision which can help us to improve the quality and quantity of our products. Topics that you must learn in machine learning for proper command in data science are clustering and regression.
Data Visualization is the final output of the raw data that you converted into information. Basically, all the stuff that we do with data in this field is to reach the destination of data visualization.
This final output of your data then let you make a decision for your benefit. In python, you have to work with Matplotlib and Seaborn for the practice of data visualization. Some famous tools for visualization are Tableau and Power BI. How will virtual reality technology change us?
It is one of the important skills that everyone should have who want to become a data scientist. Basically, web scraping is a process to extract data from the websites and make extracted data into information.
Using web scraping you can extract those websites who accept job applications, or you can find those restaurants data who sell fishes. So the knowledge of web scraping is very necessary. 5 Tasty Python Web Scraping Libraries.
All the paths that are discussed above are one of the ways to become a data scientist in 2021. Surely data science is the future of the world and there will be a need for data scientists in every company. So, follow these steps and I hope you will be a data scientist in 2021. Please give me your positive feedback and do not forget to share with your loved ones.