Data Science Course Complete Details – Eligibility, Fees, Job and Salary - NIMB EDU

Data science course is among the most in-demand occupations of the century, with a need for data scientists who would evaluate the information and convey findings to guide data-driven choices at an all-time high. Anybody intrigued in having a job in data science or machine learning can benefit from such an IBM Professional Certification, that will assist them gain career-relevant abilities and expertise.

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What is Data Science Course?

That’s a misconception that you need a Ph.D. to work as an information scientist. Anybody with a desire to study can participate in this Expert Certificate course – no previous experience of computer science or coding language is required – and gain the abilities, resources, and portfolios necessary to compete for entrance level data science jobs.

With actual data science techniques and real information sources, you’ll study information science via hands-on experience in the IBM Cloud. You will still have established a portfolio of data science initiatives after finishing these programs, giving you the courage to dive into an interesting job in data science.

Data Science Course

Objectives of Data Science Course

Recognizing and dealing with the major technological platforms used for examining huge information is the first step in grasping the area of data science. You’ll understand how to use the Hadoop and Spark advancement and coding structures to handle large quantities of data in a dispersed computing ecosystem, as well as gain skills in complicated data science methodologies and their application in R, the preferred mathematical coding language. With visual analytics systems like Tableau, the insight you’ll gain from the data will be displayed as usable presentations. Data science course has many benefits that is considered as boon to an individual.

You’ll be exposed to cutting-edge machine intelligence technology once you’ve perfected data administration and forecast analytical approaches. This broad training route will prepare you to succeed in a wide range of huge data and data science techniques and methodologies.

Who is eligible to participate in this Data Science course?

This system can assist a variety of professions, allowing them to seek new career prospects with high incomes, such as:

  • Software analysts and programs
  • Software engineers
  • Experts in data analysis
  • Financial analysts
  • Analysts of data
  • Experts in data management
  • Data warehousing experts
  • Project supervisors
  • Experts in mainframe systems
  • Graduates interested in pursuing a career in analytics

How can you become certified in the Integrated Course in Big Data and Data Science?

NIMB will award you the Combined Program in Big Data and Data Science credential once you have finished all of the modules in the learning journey and obtained their respective certifications.

  • You must satisfactorily pass the program’s end-of-course examinations.
  • Complete your work and complete each section of the course test.
  • Every one of the five programs in the training pathway should meet this criterion.

Role of data scientist

Data scientists perform essential role in today’s rising data-driven companies. A data scientist’s job involves dealing with massive volumes of data and evaluating it by using information approaches. Once they’ve figured out how to create meaning of the information, they communicate this to the information systems executive leadership and use visuals to comprehend the trends and patterns. Data scientists often use machine training and artificial intelligence, as well as their programming skills in Java, Python, SQL, Big Data Hadoop, and data gathering. Professionals must have excellent language abilities and the ability to properly communicate their information finding ideas to the organization.

Qualifications to Become a Data Scientist

If you have a background in math or computer analytics, you may seek a career in data science. You may readily pursue this career trajectory if you’ve a science history or come from such an analytical foundation such as finance or commerce.

Advantages of Data Science Course

Data is important, and the science of deciphering it is as well. Data is being produced in billions of bytes, and it’s worth has now exceeded that of oil. For firms in a variety of industries, the function of a data scientist is and would continue to be critical.

Without science, data is meaningless

It is necessary to interpret and analyze data. This emphasizes the importance of obtaining high-quality data and knowing how to interpret it and produce data-driven insights.

Data will assist in the development of improved consumer experiences

In the case of commodities and things, data science course will use machine learning to help corporations invent and make goods which people will love. A good suggestion system, for instance, can assist an eCommerce business explore their client personalities by glancing at their buying history.


Data could be used in a variety of sectors

Data science isn’t just about consumer products, technology, or health. From finance to transportation to production, there’ll be a large market for data science program, to improve corporate operations. As a result, everyone interested in becoming a data scientist would have a completely new universe of possibilities open to them. Data is the way of the future.

Why should you be interested in learning data science course?

Compelling reasons to seek a career in data science course:

  • Data science course has a great career path – sure, you will also have a successful career path in this subject. Data scientists add tremendous benefit to firms and are currently and in the foreseeable the most sought-after professions.
  • There’s a lot of room to experiment with other alternatives. – You may work as a data engineer, researcher, machine learning engineer, or maybe perhaps a data science director.
  • Highest salary takeout ratio – As a data scientist, you should anticipate to get paid well. Due to its important tasks and duties, data scientists are typically compensated well, often far above standard requirements.
  • Develop your decision-making skills – Not each position will provide you with the authority to make sound company judgments. It is a data scientist’s primary duty. That’s how you get things going. Due to the sheer scarcity of ability in the environment, credibility would constantly be valued.
  • As it is a thoroughly analytic job, it’s much less cutthroat; nevertheless, need is not. Companies find it difficult to fill these positions due to a scarcity of qualified candidates. When you enroll, you are a decision-maker and are less likely to encounter rivalry from your institution’s competitors due to your distinct ability base.

Data Science Course Key Features

Live & Class Room Batch

Industry Recognized Certificate

Placement Assistance

Online Classes

Flexible Schedule

Career Opportunities Data Science Course

After completing the Data Science Course, one will be ready to bring meaning to a profession in one of the following disciplines.

  • Data Scientist
  • Machine Learning Engineer
  • Enterprise Architect
  • Data Architect
  • Business Intelligence (BI) Developer
  • Statistician

  Course Duration

  • Duration: 2 Months
  • Option 1 : 1 Hour (Daily Basis)
  • Option 2 : 2 Hours (Alternate Days )
  • Option 3 : 6 Hours (Weekend Basis)

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Frequently Asked Questions

Data science course or Data science program is a method for analyzing, modelling, and deploying data to help businesses make better decisions. It assists in the visualization of information in a manner that corporate stakeholders can comprehend in order to create prospective road – map and trajectory. Data science implementation has become a requirement for any company trying to expand.

Depending on the degree of accreditation, the length of a data science course may vary significantly. A certificate program can last 20 weeks, whereas a bachelor’s or master’s degree program in Data Science course or a similar topic can last generations.

Although a fundamental understanding of arithmetic principles such as mathematics, geometry, and stats is essential for Data Science, a foundation in mathematics is not needed.

Because coding is a key element of data science course, it’s indeed essential for a potential pupil to get a basic understanding of programming language such as C++, Java, and Python. The subject of data science is expanding at an extraordinary speed, and there is plenty of room for you all to advance if you choose to pursue it. Although we’ve provided you an overview of what discipline has to offer, the Data Science curriculum varies every institution, even though the basic courses remain the same. 

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How You Benefit From Data Science Course

  • Rigorous curriculum designed by industry experts
  • Complete this program while you work

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