Salary structure of Data Scientists in the country
Do you know that Data scientist job is one of the highest-paid job roles? Data scientist job roles
are high in demand in the present day. Many industries are seeking several data scientists to fit in
the
On average, data scientists make around 620, 244 rupees per year. While the senior data scientists are
expected to earn 1,147,826 rupees per year which is a huge amount.
Demand for Data Science in Bangalore
Bangalore, being the silicon valley as India, has got a huge demand for Data Science. Several
industries are in queue to employ the techniques of data science. Many organizations are getting ready
to embrace data science.
Bangalore currently has around 8346 openings for various job roles in the field of data science. The
demand for data science is expected to encounter a rapid growth in the days to come. Considering this
demand, many youngsters are enthusiastic about taking up a data science course in Bangalore to start
an exciting career in the field of data science. This choice that you make definitely stands as the
best as it lets you set your career on an outstanding platform that has got enormous demand in the
market.
Data science is also expected to replace many existing job roles which is making many to run towards
this amazing technology.
What are the prerequisites of taking up a data science
course?
If you are dreaming to join the data science training program in Bangalore, it is necessary to
understand the different prerequisites which you need to know before you take up the data science
course.
Mathematics
TBeing good at mathematical concepts of linear algebra such as matrix, tensor operations, etc makes
it easy to master Data Science. Other important mathematical traits you will need to be good at is
Calculus. Data science involves a lot of calculus operations to optimize the data. Therefore,
mathematics stands as a major prerequisite to understand the concepts of Data Science.
Programming languages
Possessing the knowledge of programming languages such as R, C, C++, Python, Hadoop, etc definitely
smoothes your learning path. Being good at Excel makes mastering data science easy.
Python programming language is one of the major prerequisites of learning data science.
Object-oriented python and python frameworks would be a great aid in understanding the concepts of
data science.
Statistics
Data science is more about statistics. Data science involves a lot of statistical tools to derive
meaningful insights from the raw data. There are two types of statistics involved.
Descriptive Statistics
The descriptive analysis makes it easy for you to understand the data as it describes it. It involves
concepts like Normal Distribution, Central Tendency, Variability, etc.
Inferential statistics
Inferential statistics help you derive solutions from the descriptions derived using descriptive
statistics.
Data Visualization tools
One of the major job roles of a data scientist is to visualize the data. Possessing strong technical
skills to display the data is very important. learning data visualization tools such as Tableau, Domo,
Qlikview, etc would be a strong aid to learn data science.
What are the main job roles and responsibilities of a data
scientist?
A data scientist is liable for analyzing the past data to predict and provide the most
accurate plan
for any organization. In other words, data scientists apply the analytical and technical skills to
wisely extract sensible outputs from huge data sets. This process demands a lot of functions to be
performed by a data scientist. Let us see what are the main roles.
- Data collection from different data sources.
- Data reporting.
- Cleansing raw data (both structured and unstructured) and segregating them accordingly.
- Building models using the past data to predict the future accurately.
- Develop business strategies.
- Identify the problems.
- Analyze and solve problems using data.
- Improve the accuracy of the data.
- Increase the overall operational efficiency.
- Cost reduction.
- Discover ways to provide a better customer experience.
- Remove hazards and minimize the risks.
What are the major tools and techniques employed by a data
scientist?
Data scientists use various tools to perform several operations. Below is the list of
the major
toolset that any data scientist would employ.
- Analytical tools
- Data mining
- Statistical Analysis
- Data modeling
- Predictive models
- Data visualization tools
Applications of Data Science
Data science has been employed in various sectors for the amazing benefits that it offers. Data
science has got a wider range of applications. Learning data science could benefit you get in a job
role in any of the below mentioned sectors. Even as the list of the industries that apply data science
is growing day by day, there is a vast area that welcomes you to be a data scientist.
Let us learn about the major applications of data science.
Problem Solving
Data scientists do make this world a better place by solving the problems. Data science plays a key
role in problem solving. Understanding the objectives and finding the accurate solution for the
problems is definitely a challenging task which every data scientist would be facing on a daily
basis.
The problem solving by data scientists involves three steps. They are defining a problem, structuring
the data and the application of the programming languages. This technique of data science has been
applied in several fields to solve major problems of their business.
Financial Sector
Data science plays a vital role in the financial sector. Fraud detection and risk analysis are two of
the many major applications of data science in the financial sector. Data science also helps in
studying and understanding a customer's behaviors and promotes customer's risk modeling. These
applications of data science cause great enhancement in the sector of finance.
E-commerce
E-commerce of another major sector which widely employs the techniques and tools of data science.
Data science helps the e-commerce sites to promote outstanding customer experience by studying
customer behavior and suggesting related products to the customer. Risk analytics is one of the major
applications of data science in the field of E-commerce as it helps to understand and analyze the
upcoming risks way before and help the organization to eradicate them.
Customer Analytics
Data science helps every industry to study and learn about its customers which will in
turn have a
great impact on gaining profits. The following are the few operations performed by data science in
performing customer analytics
- Identifying the target customers.
- Customer data management.
- Promote great customer experience.
- Recommending related products based on previous purchases.
- Analyzing the reviews and ensuring.
- Constant enhancement in promoting a better experience for the customers.
Manufacturing sector
Many manufacturing companies employ data science to enhance the quality of the products that they
produce and regulate their services.
Data science helps to provide constant monitoring of the machinery and Schedule maintenance.
Error detection is another major application of data science in the field of manufacturing as data
science helps to detect the errors at a very early stage to rectify and eradicate them. This prevents
the manufacturing sector from huge losses.
Healthcare Industry
The healthcare sector robustly employs data science in performing various medical operations. Data
science promotes efficient medical analysis. Data science is applied in image analysis to detect
various diseases. Data science also aids in drug discovery and helps the doctors to prescribe the
right medicine for the patients.
Transportation
Data science has been strongly applied to the latest trends in transportation. One of the major
examples we can quote to describe the application of data science in the field of automation and
transportation is the introduction of self-driving cars.
Gaming Sector
Data science technology is also applied in the field of Gaming. From the development of the game to
the design, functionality of the game, data science plays a vital role.
Data science also has got any applications in several fields. A few of the most regular applications
of data science include image Recognition, Speech Recognition, Search Engine Optimization,
Translation, etc.
Ensure that you get registered for taking up the best data science course in Bangalore and set
up your career in the right path.
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