Pursuing a career in Data Science has gained a strong following in recent years and, thanks to technological improvements, is likely to be in demand in the future. Data Science is a cross-disciplinary area. It’s all about taking a scientific way to analyze large amounts of data. The science of data encompasses a wide range of scientific techniques and theories originating from various fields, including mathematics, statistics, computer science, information science, and domain knowledge. Data scientists use analytical and technological talents to address complicated challenges. They gather, analyze, and interpret vast volumes of data and operate with various mathematical, statistical, and computer science aspects. In addition, they are in charge of providing information that goes beyond statistical analysis. Data science employment is accessible in commercial and public sectors, spanning banking, consulting, manufacturing, pharmaceutical, government, and education.

What is a Data Scientist’s job description?

Data scientists interact extensively with business leaders and other stakeholders to learn about their objectives and how they might be met using data. A data scientist is responsible for gathering a large amount of data, studying it, sifting pertinent data, and extracting insights using SAS, R programming, and Python, among others.

What abilities should a Data Scientist have?

Certification in advanced data science is essential for being relevant and competitive in the market and having a well-paid profession. Yet, to get a respectable career in Data Science, you must have specific data scientist abilities.

Core Skills

  • Data preparation skills for optimal analysis
  • The ability to use self-service analytics platforms
  • Capability to produce maintainable and efficient code
  • capacity to use proper mathematics and statistics
  • Utilization of machine learning and artificial intelligence

Key Skills

  • SAS
  • R Programming
  • Python
  • SQL
  • Hadoop

Non-technical Data Scientist Abilities

  • Business Insights
  • Communication Capabilities

Data Science Courses

Data science courses concentrate on capturing, analyzing, and retaining data to gain findings and predictions made from organized and unorganized data. Data science is an essential component of the IT sector; they utilize the data science to handle databases and derive relevant insights. Best Data Science Courses After 12th include courses like BTech, BSc, MTech, MSc, MBA, and PGDM data science in conjunction with artificial intelligence, machine learning, or big data.

Who is Eligible for Data Science Courses?

Researching various data science courses is the first step in building a career in data science. Anyone interested in learning Data Science, whether a newbie or a seasoned practitioner, can enrol in Data Science courses. Part-time or external Data Science programmes are available for engineers, marketing professionals, software developers, and IT professionals. Basic high school level studies are the minimal need for conventional Data Science courses.

Data Science is a broad synthesis of mathematics, computer science, and statistics principles. Entrants must hold a bachelor’s degree in one of the sciences, technology, engineering, or mathematics subjects (STEM background). An advantage has studied computer programming in high school. Pupils learn the principles of Data Science as well as advanced ideas. Learners become specialists in applying Data Science approaches in the real world, relying on their subject understanding of statistics, machine learning, and programming.

Data Science courses are also open to individuals from other disciplines, such as business. Business personnel with a bachelor’s or master’s certificate in business administration, such as a BBA or MBA, are also entitled to pursue advanced studies in data science. In the IT business, these individuals work as executives. CRM reports, MIS (Management Information System), and business-related DQA comprise most of their responsibilities (Data Quality Assessment).

Data Science Eligibility Criteria for Undergraduates

Students interested in pursuing a bachelor’s degree in data science must meet the following criteria:

  • Applicants must have finished a certified board’s upper secondary education.
  • Participants must be from the science discipline and have core subjects like physics, maths, and chemistry.
  • To be accepted to their preferred institution or university, students must be equipped by qualifying the required admission tests.
  • Participants seeking admission must be at least 17 years of age.
  • The minimum marks attained in the qualifying exam must be between 50 percent to 55 percent in aggregate.

Data Science Eligibility Criteria for Postgraduate Level

The qualifying conditions for enrollment in Master’s Data Science courses are as follows:

  • Applicants should possess a postgraduate degree in science with suitable specializations, such as B.Sc. Statistics, B.Sc. Mathematics, B.Sc. Computer Science or any other similar degree from a certified board or institution.
  • Candidates must have passed the applicable entry test and received at least 50% in the qualification test.
  • Additional education, specialty, or training in Mathematics or Statistics are desired.
  • Based on the institutions and universities, learners must also pass and perform well in the personal interview stages that may follow the admission exam.
  • The minimum marks attained in the qualifying exam must be at least 60 percent in aggregate.

Colleges for Data Science Courses in India

In India, there are approximately 202 data science colleges, comprising 167 private and 34 government institutes. The UGC and NBA have authorized most of the leading data science colleges in India. The leading data science colleges in India include IIM Kolkata, IIT Madras, Loyola College Chennai, and several others. In addition, VIT Vellore, Manipal University, Techno India University, and others are among the leading institutes in India for M.Sc. data science. Each organization does have its own set of eligibility criteria for the Computer Science program. The estimated yearly price for data science studies at the leading data science institutions in India ranges from INR 10000 to 5.7 Lakhs.

Final Thoughts

Companies in almost every sector are starting to adopt data science to obtain and use superior business insight. To work as a data scientist, you should have a bachelor’s or master’s degree in a related field, such as business information systems, computer science, economics, information management, mathematics, or statistics. The course eligibility varies by level. When enrolling in a course, double-check the course specifics. Requirements for data scientists typically include a bachelor’s or master’s degree in data analysis or data science.

If you have the essential abilities to build a future in Data Science, several options are available. Additionally, today’s scenario is best suited and exciting to be a data scientist or prospective data scientist, as dynamic, attractive, and new possibilities emerge rapidly.



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