Data Science Tutorial For You

Top Industries for Data Science

Data science is an effective options to industries to adopt it in large scale due to its real world problem solving nature. Data driven decision making is need of 21st century. Data science is previous and applicable to companies to tackle with real time problems.

This is the best career and right time to aspirants to adopt this most demanding technology with proper guidance and certify with real time projects to get jobs in data science.

According to one study, the global market of data science is to be estimated to grow with USD 115 billion in 2023 global.

Deloitte Access Economics says that 76℅ of business have planned to increase data science capabilities.

Global data science market size is expected to rise by $185 billion by 2020 to 2026.

Data science in various sectors:

1. Data science in finance and insurance sector:

Finance is first sector who have adopted data science first due to its actionable insights and sustainable growth. Why financial services massively adopt data science the reasons are as follows,

It is used for financial fraud detection.

Risk management

Financial securities

Business predictions

Customer segmentation

2. Healthcare Industry :

Due to most immediate help of data to predict patient's illness, recoveries and chances to live their lives is most important feature of data science.

If we consider COVID 19, then rate of increase in the patients, symptoms in different demographics, availability of vaccine, rate of cure, rate of death, these data sets will help to healthcare industry to predict overall about COVID 19 and its cureness.

Most important applications of data science in healthcare are,

Diagnosis of disease and analysis

Disease risk recognition and recommend prevention models.

Drug discovery as per disease

Patients recovery and post monitor

3. Communications, media and entertainment :

Data science tackle with consumer's insights by collecting, analysing and utilizing the data sets. With the help of data science, business leaders can understand buyers behavior and create different models to target the audience to measure the performance and recommend most demanding contents, products.

Fraudulent activity detection

Innovation of new products

Prices optimization

Personalised services: Behavior of customers like SMS and data usage patterns,video choices, social media activity, browsing patterns, customer demographics etc.

4. Automotive:

Automatic learning and atomization is key technology of automotive industry. Atomization takes place with the help of latest data science features like machine learning, artificial intelligence and deep learning. Data science helps in main applications of automotive industry like research and design, manufacturing and marketing.

Driverless car and electric car is most fantastic invitation in 21st century. Tesla, Google, Apple, Tata, Hyundai are moved to words thse atomization.

Predictive mentainance helps in identifying the defects in vehicles.

IOT devices helps to improve vehicle safety and life.

Data science helps to manage and control supply chain and logistics.

5. Internet Industry:

21st century is century of Internet Of Everything and Internet of Things I.e. IoE and IoT. It is intelligent connection of people, process, data and things over internet.

The optimization in various industries and cloud computing technology leads to generate massive and complex data. This big data is managed with the help of data science.

Data coming on internet from various channels such as distributed networks, clouds, social media and e-commerce and real time transportation sites.

Google, Amazon, Oracle, IBM, Databricks, VMware, Salesforce are top data analytics companies who work on big data globally.

Other industries such as education, retail, construction, manufacturing and natural resources, space and research, government, energy and utility and outsourcing industry due to optimization data science plays very important role to control and manage data sets.

Job Roles in Data Science click this to check various job roles in Data Science.

Salaries trends In Data Science:

Before applying for any job first we check it's salary package associated with it. Salary packages as per the experience of aspirant in data science as follows,

1. Entry level salary:

The person who have joined data science industry freshly have average salary 3 - 5 lakh per annum. 1 to 4 year experience in data science get average salary about 5 - 8 lakh per annum.

2. Mid level salary:

4 - 8 years experience in Data science having average salary 8 - 12 lakh per annum..

3. Senior level salary:

The data science experience more than 8 years ranges average salary more than 12 - 18 lakh per annum.

Conclusion:

Technology is rapidly growing. The technology have contributed in every field for automation. Day by day data science field is showing tremendous growth in technology sector.

No need of coding background in data science industry. Dont worry about thousands of lines codes and logic.

Data science work is based on 30% coding and 70% work to understand the business problems.

This is right time and right course for your bright future in 2021.