Data science has become a buzzword, and according to IBM, it is the most trending job of the 21st century. Thus, the demand for a data scientist is on the rise. Hence, this job can prove lucrative to many. The salaries for a data scientist are exorbitant. Data is generated in large amounts in any company. Organizing, analyzing, and understanding this data can improve the decision-making skills of the company. Hence, data science drives organizations like Facebook, Google, Amazon, etc. Now, let us explore data science syllabus. If you are interested then make sure to contact us for further communication and queries.
Before we begin, let’s get some facts about data science. Data science is the art of identifying the hidden patterns in data. It analyses both structured and unstructured or big data. As a result it, combines math, business acumen, machine learning, and statistics into a single subject. The two important skills of a data scientist are machine learning (i.e. technology) and business acumen.
To become a data scientist you should pursue a bachelor’s degree in data science or related subjects. Then, gain the skills and knowledge and get your first data science project or job. Finally, keep training and polishing your skills with certificate programs.
Also read: Is career in analytics and research good for you?
Data scientist degree/courses:
- Bachelor’s degree in data science
- Master’s degree in data science
- Online courses or certificate courses in data science
Let us check the syllabus of each one of them in brief:
1. Bachelor of Data Science (BDS)
This bachelor’s course is offered widely in India. Some of the top institutes that offer BDS are SP Jain School of global management, IIT Hyderabad, IIT Madras, etc. The course is mostly 3 to 4 years long. Most employers look for a bachelor’s degree in prospective employees. The bachelor of data science syllabus includes the following topics:
- Computer science
- Mathematics
- Statistics
- Algebra
- OOPs using python
- R
- DBMS ( Data Base Management System)
- Data visualization
- Research methodology
- Data preparation
- Differential equation
- Inference
- Data mining
- Statistical analysis
- Big data analytics
- Machine learning
2. Master’s in Data Science
Postgraduate education in data science is called as MS in Data Science, PGD in data science, M.Sc. in Data Science and Data science masters. As a matter of fact, 13% of employers look for a Master’s degree in candidates. Some of the institutes that offer this course are IIT Hyderabad, IIM Calcutta, and St. Xavier’s college, Mumbai. The Master of data science syllabus covers the following topics:
- Applied statistics with R
- Mathematics
- DBMS
- Machine learning
- Digital analytics
- Python
- Web and network data science
- Marketing analytics
- Data visualization
- Advanced modeling techniques
- Artificial intelligence and deep learning
- Intelligent system and robotics
- Data governance, ethics, and laws
3. Certificate Courses in Data Science
Certificate courses are short and cover mostly single core topics. If you feel that you need to improve in any particular topic then you should choose a certificate course in that. The most popular demand is for python and R. Here is a list of certificate courses provided by verified institutes:
- Data science machine learning by Harvard Univesity.
- Statistics and R by Harvard University.
- Advanced Python for Data Science by Harvard University.
- Data science specialization by Coursera.
- Applied data science with python specialization by the University of Michigan on Coursera.
- Python for data science and machine learning Bootcamp on Udemy.
Job roles that you can take up after studying data science are business analytics professional, data scientist, big data analyst, marketing analytics professional, etc. some of the top recruiters for these roles are Microsoft, Deloitte, Reliance, Amazon, Lenskart, Walmart, HDFC bank, OYO, Genpact, etc. the starting salary can be less than 3 lakh per month but after a couple of years of experience, you can earn at least 6 lakh per month.
In conclusion, there is no compulsion in choosing a career. Most importantly, the job of a data scientist requires dedication and hard work. Hence, to be able to push yourself to succeed in this field, you need a lot of motivation. Hence, take advice from our mentors before you jump into any field. Contact us at ForeignAdmits.