Data Science

Pursuing full-fledged courses in Data Science after Class 12 can serve as a gateway to exciting earning opportunities in the IT and software industry, data analytics, finance, banking, healthcare, AI, cloud computing, etc. The data-driven and technologically advanced nature of the work field has resulted in a boom for data Science jobs. You can find some top career options after Data Science courses given below:

• Data Scientist
• Data Architect
• Statistician
• Machine Learning Engineer
• Data Analyst
• Business Intelligence Analyst

The college ranking surely plays an extremely important role when you're selecting the college for pursuing Data Science courses because a good college ranking speaks volumes of the excellent networking opportunities and placement records. But it is not the only important factor; rather, your focus should also be on the curriculum quality, practical opportunities, teaching faculty, and the course fee structure.

Only after assessing the college on these parameters should you make the final decision for admission.

Not at all. The syllabus for Data Science courses is not the same for all colleges; instead, it differs based on the course level and the college offering the course. The syllabus includes core subjects, programme electives, lab work, research projects, and internships. Each college follows a certain coursework structure and makes sure to provide the students with the best available tech resources and quality education for them to excel in this technologically advancing work industry.

The syllabus for Data Science courses after 12^th differs on the basis of the college/course provider offering the course and the course level. The curriculum includes core subjects, specialised programme electives, project work, lab sessions, and internships. Some of the main subjects are given here:

• Statistics and Numerical Methods
• Database Design and Management
• Data Exploration and Visualization
• Fundamentals of Data Science and Analytics
• Artificial Intelligence
• Data Warehousing and Data Mining
• Machine Learning Algorithms
• Deep Learning

The competitiveness and difficulty level for Data Science courses usually vary on the basis of the specific entrance exam, whether conducted at the national, state, or college level, and the course level. The Data Science entrance exams are quite competitive because of the cutthroat competition for seats for the course.

Since Data Science courses are in high demand these days, the cutoffs are quite high at top colleges. You should put in extra effort to get excellent marks and rank and grab a seat for yourself in your desired college and program.

You should start preparing for entrance exams for the best Data Science courses after 12th as early as possible to make sure you have enough time in hand to cover the entire exam syllabus. Though the exam preparation time and strategy differ on the basis of the specific exam you're planning to appear for, you should start at least 6 months before the final exam is scheduled to take place. This would ensure timely completion of the exam syllabus, practicing last year' question papers and taking mock tests, and doing a thorough revision in the final month.

Passing Class 12 board exams with decent marks, at least 50 to 60%, is important for Data Science admissions. There are UG degree, Diploma and certificate courses available for you to enter the field of data Science and analytics. Most of the top-ranked colleges need a Science background, while others generally need Mathematics as a core subject.
You can crosscheck the eligibility criteria for your preferred colleges or e-learning platforms by visiting their official websites, which may involve entrance exams, aptitude tests, or GD/PI rounds.