Course Information
Duration
24 hrs
Level
Academic
Language
English
Exam Information
Exam Code
SG-315
Total Questions
60
Duration
60 mins
Passing %
60%
Pre-requisite
Basic Programming and Technical Skills with Business acumen is proffered.
Course Description
Data is the input that is given to the computer and transformed into information or knowledge. It has no meaning on its own. It is the raw material from which information can be generated. These days several organizations are using real-time data to retrieve crucial information and insights to predict future trends. Big Data is a term which is used to describe large data sets and data contained in it. Data science is a field which provides necessary software and tools to handle Big Data so that valuable information can be extracted. Data Science has become an essential part of everyday life and emerged as a critical component of modern business intelligence in recent years. Its algorithms are becoming ever necessary due to various factors like growing volumes and varieties of available data, computational processing that is cheaper and more powerful, and affordable data storage. This course provides knowledge about various techniques and methods to manage complex and real-time Big Data. It helps in implementing various tools that are used for data analytics, data exploration, data wrangling, and data visualization.
Course Objectives
1.Describe the fundamentals of Data Science and Data Analytics
2. Describe data science life cycle, its software and applications
3. Explore Python
4. Describe statistics and probability with Python
5. Describe data mining, data munging and data visualization.
6. Discuss machine learning
Course Curriculum

