Data Science and Engineering Course in Bangalore

Many youngsters these days are passionate about learning data science and becoming a data scientist. Many working professionals are also dreaming to experience a transition in their careers by taking up a data science course. If you are somebody who belongs to any of the above two categories, you must know

the reason why is that data science has attained a vast exposure and huge demand in no time? What is data science? How does it work? What is it's applications and benefits?

Data scientists play a vital role in any organization. From designing the plan to solving business problems, data science is involved in every aspect of the business.

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 are 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 are 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

Being 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 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 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.