Formerly known as Innovative Solutions
Data Science
A study states that over 2.5 quintillion bytes of data are being generated every single day which is unstructured or semi-structured.
To process the massive amounts of data we need more effective algorithms. This is made possible by the Application of Data Analytics. Data Analytics is the application of structured statistical and mathematical techniques on collected data in order to detect underlying patterns as well as make predictions.
Benefits of Data Analytics
The domain of Data Analytics has been embraced by many industries for the outstanding benefits it offers. Data Analytics is a boon to modern-day businesses. Data Analytics helps businesses in making smarter decisions. Data Analytics improves efficiency and controls risks. Data Analytics also results in cost cuttings.
Payscale of Data Analytics
The domain of Data Analytics is observed to offer one of the highest-paid job roles in the country. Recent industry studies have revealed that median CTC for Data Analytics professionals in India stands at Rs. 12 lakh/annum.
Job Positions of Data Analytics
There is a wide range of job roles offered in this domain. Professionals are seeking data analytics training to fit into the below set of job roles.
The following are the major responsibilities of a data analyst.
- Data Architect
- Applications Architect
- Infrastructure Architect
- Enterprise Architect
- Data Scientist
- Data Analyst
- Data Engineer
- Statistician
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 are cover varied areas of this sought-after discipline. Here is the complete Data Science Syllabus:
- Introduction to Data Science
- Mathematical & Statistical Skills
- 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 which 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
