If you plan to pursue a course in Data Science, it is imperative for you to know know what all are some subjects will be essential to your learning experience and fundamental for your understanding of the course. So, if you want to know that what are the topics under Data Science then here is a list that elucidates the same.

Here are the Data Science subjects:

1. Introduction and Importance of Data Science
2. Statistics
3. Information Visualisation
4. Data Mining, Data Structures, and Data Manipulation
5. Algorithms used in Machine Learning
6. Data Scientist Roles and Responsibilities
7. Data Acquisition and Data Science Life Cycle
8. Deploying Recommender Systems on Real-World Data Sets
9. Experimentation, Evaluation and Project Deployment Tools
10. Predictive Analytics and Segmentation using Clustering
11. Applied Mathematics and Informatics
12. Working on Data Mining, Data Structures, and Data Manipulation
13. Big Data Fundamentals and Hadoop Integration with R

Good Afternoon

Hope you are absolutely fine, as per your query... here is the list of subjects in Data Science

• Introduction to Data Science
• Big Data
• Data Mining, Data Structures, and Data Manipulation
• Coding
• Mathematical & Statistical Skills
• Machine Learning
• Algorithms used in Machine Learning
• Statistical Foundations for Data Science
• Data Structures & Algorithms
• Scientific Computing
• Optimisation Techniques
• Data Visualisation
• Matrix Computations
• Scholastic Models
• Experimentation, Evaluation and Project Deployment Tools
• Predictive Analytics and Segmentation using Clustering
• Applied Mathematics and Informatics
• Exploratory Data Analysis
• Business Acumen & Artificial Intelligence
• and many more...

Note that the list of subjects are different from college to college. I have provided you the basic subjects in Data Science.

Fore more information about data science checkout given link below:
https://dqxeclau.top/courses/data-science-course

Hope you found it helpful
All the best!!!

Here is the BSc Data Science schedule and subjects:

Probability and Inferential Statistics.

Discrete Mathematics.

Information Warehousing and Multidimensional Modeling.

Object-Oriented Programming in Java Machine Learning.

Activities Research and Optimization Techniques.

Prologue to Artificial Intelligence.