Data Science Syllabus includes various topics related to mathematics, statistics, and computer science. The information about the key topics, subjects, and syllabus is given in this article.
Data Science Syllabus: Data Science is a vast discipline that encompasses a wide range of subjects and topics. Various data science certification courses are available in the market. You can take up a full-stack data science certification course and become a data analyst or a data scientist. In this article, we will briefly cover data science syllabus and subjects.
While going through the data science syllabus, you will come across different processes, methods, algorithms, and instruments. So, it is necessary to go through the syllabus while choosing the data science course that compliments your career aspirations and goals!
Data Science Course Syllabus Overview
A data science course is a specialised program designed to make you aware of data science concepts and processes. It includes in-depth information about data statistical methods and tools. You will also learn how to manage statistical data or raw data obtained from different sources. An overview of the data science course syllabus is given below:
| Data Science Course Syllabus, An Overview | |
| Particulars | Details |
| Data Science Course Duration | 3 months to 3 years or more |
| Course Mode | Offline or Online |
| Eligibility Criteria | 10+2 Science with Physics, Maths, and Computer Science. |
| Prerequisites | Basic knowledge of computer science, statistics, and mathematics |
| Key Subjects |
|
| Jobs Available | Data Analyst, Data Engineer, Data Scientist, Business Analyst, Business Strategist, Project Manager, etc. |
| Courses | B. Tech in Data Science, BSc. in Data Science, BCA in Data Science, MSc. in Data Science, B. Tech in Data Science and Engineering, and more. |
Data Science Course Subjects
Various kinds of data certification courses are available in the market. You can take up these courses either via offline or online mode. The option of taking up BSc Data Science or BCA Data Science course is also available. By enrolling in the degree course, you can get an in-depth knowledge about data science applications and concepts. Some of the common subjects included in most data science certifications and degree programs are listed below:
| Data Science Course Subjects | |
| Subject Name | Information |
| Statistics and Probability | The fundamentals of probability and statistical science are covered in this subject. It also includes the basics of linear algebra. |
| Data Manipulation | Data manipulation helps you organize the data and present it in a meaningful way. |
| Machine Learning | The process of making human language understandable to machines is called machine learning. It includes topics such as regression analysis, Naive Bayes Algorithm, and more. |
| Business Intelligence | The process of converting raw data into insights that helps companies make business decisions is known as business intelligence. The skills of handling various BI (Business Intelligence) methods and tools are covered in this subject. |
| Programming Languages | Data science includes programming in languages like R and Python. It also includes exposure to database languages like SQL. |
Data Science Syllabus for Beginners
Those who have completed their 10+2 can enroll in data science courses designed for beginners. Many platforms offer a data science course for beginners. The key aspects of the data science syllabus for beginners have been covered in the below table:
| Data Science Syllabus for Beginners | ||
| Subject Name | Syllabus | Details |
| Introduction to Data Science |
|
The fundamentals of data science are covered in this subject. |
| Cloud Computing |
|
The basics related to cloud computing are covered in this subject. |
| Data Mining |
|
Various data mining techniques and tools are explored in this subject. |
| Data Visualization |
|
This subject provides hands-on knowledge and experience of using data visualization tools |
| Data Analysis |
|
The fundamentals of data analysis, processing, and interpretation are covered in this subject. |
| Machine Learning |
|
The various prerequisites of machine learning and applications of machine learning are discussed in this subject. |
| Business Intelligence |
|
The fundamentals of BI and their applications in various aspects of business are to be studied in this subject. The students learn how to use BI techniques and insights to improve business decisions by going through the topics of this subject |
| Data Warehousing |
|
The basics of data warehousing, data warehouse building techniques, and their applications are explained in this subject. |
| Data Dashboards and Storytelling |
|
The basic concepts and uses of charts, diagrams, and other graphic elements in data visualization are to be studied in this subject. It gives the students a basic idea of how to present data in a meaningful way. |
Also read: Data Scientist Course Syllabus – Become A Data Scientist
Data Science Course Syllabus
The data science syllabus for various programs are given in the below table:
| Data Science Course Syllabus | |||
| SR. No. | Data Science Course Name | Eligibility | Core Topics |
| 1 | Full Stack Data Science Pro by PW Skills | Anyone with a basic knowledge of computers and mathematics can apply for this course. |
|
| 2 | IIT Data Science Program (B. Tech in Data Science and Engineering) | 10+2 in Science with Physics, Computer Science, and Mathematics.
The students must also clear the entrance test to qualify for this course. |
|
| 3 | BSc Data Science Course | 10+2 in Science with Physics, Computer Science, and Mathematics.
The college or university in which the students apply may or may not hold an entrance test. |
|
| 4 | B. Tech Data Science Program | 10+2 in Science with Physics, Computer Science, and Mathematics.
The students must also clear the entrance test to qualify for this course. |
|
| 5 | MSc Data Science Course | The students who have completed their B. Tech or BSc. in Data Science can apply for this course.
Entrance tests are usually not conducted but some colleges or universities may conduct their CET (Common Entrance Test) to select the eligible candidates. |
|
| 6 | Full Stack Data Analytics Course by PW Skills | Anyone with a basic understanding of Math, Statistics, and Computer Science can enroll in this online course. |
|
These were some key components and topics of the data science syllabus. We hope you have understood how the syllabus varies as per the course. Do you want to pursue a bright career in data science? At PW Skills, we offer data science courses for everyone. Our courses are developed by industry experts and they help you to become a master of full-stack data analytics. Consult us today and know how we can redefine your career path!
