Data Science Syllabus
Want to know about the syllabus of Data Science? The Data Science course syllabus comprises three main components, i.e. Big Data, Machine Learning and Modelling in Data Science. Across these three main components, the subjects cover varied areas of this sought-after discipline. Here is the complete Data Science Syllabus:
➢Introduction to Data Science
➢Mathematical & Statistical Skills
➢Python(Panda and Numpy That are Library)
➢Machine Learning
➢Coding
➢Algorithms used in Machine Learning
➢Statistical Foundations for Data Science
➢Data Structures & Algorithms
➢Scientific Computing
➢Optimization Techniques
➢Data Visualization
➢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
Data Science Syllabus for Beginners
If you are a beginner in data science, there are various introductory courses available online that you can take to familiarise yourself with the basics. Here is an overview of the Data Science syllabus for Beginners:
➢Introduction to Data Science
➢Understanding Exploratory Data Analysis
➢Machine Learning
➢Model selection and evaluation
➢Data Warehousing
➢Data Mining
➢Data Visualization
➢Cloud Computing
➢Business Intelligence
➢Storytelling with Data
➢Communication and Presentation
Some of the top online Introduction to Data Science courses are:
➢Introduction to Data Science by Canvas WPI Hub
➢Introduction to Data Science in Python by Coursera
➢Introduction to Data Science by Paul G. Allen School of Computer Science & Engineering, University of Washington
➢Introduction to Data Science by High School of Economics, National Research University
Components of Data Science
The Data Science curriculum is designed in a way to help students gather knowledge in the field of business, besides applying the tools and statistics to meet organizational challenges shortly. Therefore, the skills acquired during the trajectory of Data Science and Data Analytic courses are indispensable to becoming an asset in the field of Data Science. Whether you are looking for Data Science Syllabus for beginners or experts, here we have curated a general syllabus of Data Science. Following are the 3 most important components of Data Science which are followed by most the universities to help you adapt to both the theoretical and practical aspects of the subject:
➢Big Data
➢Machine Learning
➢Business Acumen & Artificial Intelligence
➢Modelling in Data Science
