Data Science is a career path which is in high demand for those who are interested in math, programming, computer as well as in research with high aptitude.  Learn about data science’s practical applications, career options, and requirements for entering this fascinating industry. Data science is the field that uses algorithms,  procedures, and examines the large amount of data with their different uncover patterns. Companies like Google, Amazon, Microsoft are the biggest recruiter of Data Scientist. In this blog you will learn about the Concept of Data Science.

What is Data Science?

Data science means analyzing the data and gathering the meaningful information from it by combining statistics and mathematics, programming skills, and subject expertise. 

In simple words we can say that, Data Science is used in every industry to predict the customers behavior and to identify new customers. It helps us to identify fraud cases. Now-a-days Government is also using data science to deliver their public services. Data science courses in India are becoming popular now. 

History of Data Science 

In 1962, John Tukey described a field he called “data analysis”, which resembles modern data science. In 1974, the term “data science” had been tracked when Peter Naur gave it another name called “computer Science”. “Knowledge discovery” and “data mining” were words used frequently during the 1990s to describe the process of identifying patterns in datasets, which grew in size.

In 2012, Thomas H. Davenport and DJ Patil, two engineers, announced “Data Scientist: The Sexiest Job of the 21st Century”. 

What is the Use of Data Science?

1. Business Intelligence:- 

By comparing the history and the current data we can identify the customers’ needs and their preferences as well as the market prospects. 

2. Predictive Analytics:- 

Data Science course in India helps in predicting the model of forecast of future outcomes like- sales prediction, customer behavior. Businesses utilize predictive analytics to identify threats and opportunities by using trends in this data. 

3. Fraud Detection:- 

Data Science uses Trends and abnormalities in transaction data to look for fraudulent activity across a range of businesses, including finance, insurance, and e-commerce.

4. Prescriptive Analysis

The application of predictive data is advanced by prescriptive analysis. It gives the most suitable course of action for handling that outcome and anticipates what is most likely to happen. It can evaluate the likely consequences of different options and recommend the best course of action. It uses complex event processing, neural networks, simulation, graph analysis, and machine learning recommendation engines.

What are the different Data Science tools?

Here are few data science tools which will make your job as a data scientist easier:-

• Programming Language Driven tools:- 

Python

R programming

D3.js

Julia

• Visualization tools:- 

Tableau

Minitab

Matplotlib

• Machine Learning tools:- 

Scikit learn

TensorFlow

Rapidminer

DataRobot

NLTK

• Cloud-Based tools:-

Google Analytics

BigML

• Business Intelligence tools:-

Microsoft Power BI

QlikView

Benefits of Data Science in Business 

• increases business forecasting
• Better decision-making through the analysis of complex data
• product development 
• strengthens data security
• creation of user-focused products

How to become a Data Scientist?

Data Science courses in India have become a highlight nowadays. Here a few steps which we all have to follow to become a skilled and knowledgeable data scientist:-

• Educational Background 

• Obtain a Bachelor’s degree: A strong foundation in mathematics, statistics, computer science, engineering, or a related field is typically required. A degree in data science or a closely related discipline can also be beneficial. 
• Pursue higher education (optional): While not always necessary, a Master’s or Ph.D. in data science, computer science, statistics, or a relevant field can provide you with more specialized knowledge and make you stand out in the job market.

• Learn Important Technical Skills 

•  Educational Background: Learn Key Technical Skills: Programming: Learn languages such as Python or R, which are commonly used in data science for data manipulation, analysis, and model building.
•  Data Manipulation and Analysis: Familiarize yourself with libraries and tools like Pandas, NumPy, and SQL to manipulate and analyze datasets. 
• Machine Learning: Understand the fundamentals of machine learning algorithms, techniques for model training, and evaluation metrics. 
• Data Visualization: Learn to create meaningful visualizations using tools like Matplotlib, Seaborn, or Tableau to present data insights effectively.

• Gain Knowledge Of Statistics And Mathematics:-
• Understanding statistical concepts is vital for data analysis and modeling. Topics like probability, hypothesis testing, and regression analysis are fundamental.

• Take Online Course And Certifications:- 
• Participate in online courses and certifications offered by platforms like Coursera, Udacity, edX, and DataCamp. These can provide structured learning paths and recognized credentials.

• Work On Real World Projects:- 

• Build a portfolio of data science projects showcasing your skills and problem-solving abilities. Use real-world datasets to demonstrate your expertise. 
• Stay Updated: Data science is a rapidly evolving field. Stay up-to-date with the latest trends, tools, and techniques by reading books, research papers, and online resources.

• Apply for Internships or Entry-Level Positions:
• Start by applying for internships or entry-level positions in data-related roles. This will provide practical experience and exposure to real-world projects.

• Continue Learning and Upskilling:
• Data science is a continuous learning journey. Stay curious and keep improving your skills as you gain more experience.

Are you Willing to Learn Data Science?

We provide an 11 months course with some Major Highlights:-\

Full time learning with professionals 

One to one interaction with Industry Mentors 

300+ Hours of learning

Multiple programming tools and learning 

Doubt session on equal intervals

Over 20+ case studies and capstone projects 

Worldwide Access to various job opening 

Lifetime career support

Certificate from Skillsiksha and IBM

FAQs:-