If Samuel Taylor Coleridge would have taken birth in this era, he would have literally come up with a line called “Data data everywhere, not a single one to spare”. Don’t you think?
Seriously.what would we do if there is no data at all? It will impact the public and private sectors of every field. In fact, the economy will fall drastically! Don’t you think?
Hal Varian, the chief economist at Google and US Berkeley professor of information sciences, said in a McKinsey&Company article- “The ability to take data — to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it — that’s going to be a hugely important skill in the next decades.” But, you may wonder how can you do the same. Right? Well, there is no better way other than the field of Data Science!
In this blog, we’re going to tell you all about Data Science and how can you build a career in it. Make sure to drop a comment below if you have furthermore queries regarding the same.
So let’s start with the definition 1st!
What Is Data Science?
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data science is related to data mining and big data. It is basically a concept to unify statistics, data analysis, machine learning, and their related methods in order to understand and analyze actual phenomena with data. It incorporates techniques and theories from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as the fourth paradigm of science (empirical, theoretical, computational and now data-driven) and stated that everything about science is changing because of the impact of information technology and the data deluge.
Usage of Data Science:
Data science applications are covering a vast field nowadays. The application of data science includes:
- Fraud and Risk Detection
- Internet Search
- Targeted Advertising
- Website Recommendations
- Advanced Image Recognition
- Speech Recognition
- Airline Route Planning
- Augmented Reality
- Facial Recognition
- Text Analysis
So many known organizations are taking the help of data science applications nowadays. If we talk about text analysis and facial recognition, Facebook is making the best out of it nowadays. Facebook uses powerful neural networks to classify faces in the photographs. It uses its own text understanding engine called “DeepText” to understand user sentences. It also uses Deep Text to understand people’s interests and aligning photographs with texts.
In Airbnb too, data science plays a vital role. In order to provide better search results to their customers, they use data. It makes use of demographic analytics to analyze bounce rates from their websites as well.
So you see, if you want to be a Data Scientist or learn about data science, you need to prepare yourself in that way itself! Wondering what are the skills you have to have in order to learn data science? Let’s have a look!
How to Learn Data Science?
If you think learning Data Science would be as smooth as any other subject, you need to prepare yourself for a bumpy ride. Because it is not going to be easy. There are several things you need to learn and several skills you need to acquire in order to learn data science.
We listed a few of them here for you:
- Machine Learning and Deep Learning
- Data Visualization
- Big Data
- Data Ingestion
- Data Munging
- Tool Box
- Data-Driven Problem Solving
Hope you are clear about this? Now let’s look into the fact of Data Science practices which you’d have to deal with on a regular basis.
How to Practice Data Science Skills?
The main element which helps out with Data Science practices is the data set. Now, what is a data set you may ask?
A dataset is a collection of data. In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question. The data set lists values for each of the variables, such as the height and weight of an object, for each member of the data set. Each value is known as a datum. Data sets can also consist of a collection of documents or files.
In the open data discipline, the data set is the unit to measure the information released in a public open data repository. The European Open Data portal aggregates more than half a million data sets. In this field, other definitions have been proposed, but currently, there is not an official one. Some other issues (real-time data sources,non-relational data sets, etc.) increases the difficulty to reach a consensus about it.
Previously, it was really difficult to find datasets for data science projects. Now, there are so many websites that can provide you with a good dataset that does not contain a missing value or aberrant data and is easy to manipulate or read.
Here are a few websites that can provide you with the same:
Want to see some examples of public data sets? You can look for it right here then!
Tools For Data Analysis:
After you have collected your right set of data, you need to analyze them properly. And how do you think you’d do it? There are so many tools available to do that as well.
Here are a few of them that are highly recommended by data scientists:
- R Programming
- Tableau Public
- Apache Spark
You can understand, you have to go through thorough research to find out which among them is suitable for you.
Now you got a hold of what you need to learn if you want to be a Data Scientist. Isn’t it? All you need now is to find out an easy way to learn all of the topics that you
You are in luck because we have just that certification for you in-store that will not only guide you to cover all the fields of data science but will shape you to perfection as well. Just so you know, Data Scientist’s job is the highest paying job in 2020. That gives you another level of goose-bumps,doesn’t it?
What are you waiting for then? Apply for our Certified Data Science Professional certification right away and make it happen!