What is Data Science | Meaning, Course, Salary from scratch

In a rapidly becoming digital space where a huge volume of data is collected every day, it becomes essential for every organization to collect the data and analyze it and visualize it and understand the inside of it to extract the patterns from it. So that the companies could make an idea about market trends, customer interest, where their business is heading, so all these useful pieces of information and insights can help them boost their Revenues. By using this data, they can build effective strategies, and they can build automated models using algorithms. So whenever they give new data to that model, it gives a quick analysis of that. In the 21st century, every company relies on data to optimize their business. Converting the raw data into a useful piece of information using various tools and algorithm is Data Science.

Raw data the pieces of information that are not structured. Raw data contains information but not ready to serve on the plate. These data are the data directly generated by the user’s behavior and transferred to the parent company.
Process data the filter data. Raw data is collected and filtered to make it presentable and easy to understand, called processed data or Ready to serve data.

After the raw data is collected, it is cleaned to make processed data because raw data can have duplicate data, replicated data, missing data. The variety of data can be different. Formats can be different.  If we try to take out information from raw data, then the data can be inaccurate. So the company can’t make the right strategies. To convert raw data into processed data, we have various tools like R and Python.

Now that data is processed and ready to serve. You need to show it to someone; it can be stakeholders or your colleagues, or anyone. But you have numbers, and it won’t be easy to make them understood. So we use graphs such as pie graphs, line graphs, bar graphs, histograms.  So, presenting the number of data into a graphical representation is called data visualization. Some data visualization tools are –  Tableau, JS, Chartist, Fusion Charts.

Data surrounds us. Every time we pick our phones, we encounter data and generate data. Let’s take an example – You Clicked a picture. All pictures in the smartphone comprise 3 layers, RGB. And in all these 3 layer data is hidden.
Whenever you are scrolling through your social media, you are interacting with data. And you are also generating data for the company (your watch time, your clicks, your pattern of interaction); all this data generated by you is supplied to a parent company. Here, a data scientist’s role is to filter the data, simplify it, and present the information to the company so that the company can make marketing strategies and target the right audience.
If you’ve ever noticed, you visited an e-commerce website and searched for any product. You will get the same recommendations for your social media account. That’s how data is used to generate leads.

The data science job profile has become one of the industry’s top profiles; also, they are the highest paid professionals in the IT industry. According to Forbes, America’s best job is a data scientist with an average annual salary of 1,10,000 Dollars. By this, we can understand the data science plays a major role in the growth of an organization. To know the salary insights of data science professionals in different countries, visit glassdoor.com.

After searching over the Internet, I came across many certification courses for data science after going Through the curriculum and course structure. I found out the best course on data science which is completely free. And the cherry on the top it’s taught by Harvard professionals.

Best Data Science online certification course :
edx Data Science course

This course is divided into 9 certificates. The last is a “Capstone Project,” which will definitely help to give a comprehensive hands-on experience to the learner.
1^st Certificate – Data Science: R Basics
2^nd Certificate – Data Science: Visualization
3^rd Certificate – Data Science: Probability
4^th Certificate – Data Science: Inference and Modeling
5^th Certificate – Data Science: Productivity Tools
6^th Certificate – Data Science: Wrangling
7^th Certificate – Data Science: Linear Regression
8^th Certificate – Data Science: Machine Learning
9^th Certificate – Data Science: Capstone