Data administration and management being the biggest challenges of the information explosion happening these days, this data science course gets the deeper and yet knowledgeable course for the data analytics professionals. The course allows one to bring up their basic data base knowledge and make it apply to the more advanced level of data science which is a very much typically needed mindset for the current data analysis of IT field.
To understand the descriptive statistics of Data analysis
To excel working with Tableau
To get introduced to R and data exploration to R
Understand to create Decision trees.
To understand Data collection and data mining
Know the importance of big data technologies
To get the prior idea about the Loop functions and debugging tools
To learn running non-parametric tests
CAREER PROSPECTS:
- To manage whopping amount of the data, data scientists are needed who are the most enthusiastic people. It is the undoubtedly emerging field in data analysis which has great link with the upcoming data software that are being prepared for the improvisation of data management.
Data Scientist
M/L engineer
Data Science Lead
SYLLABUS:
· What is Data Science?
· How Data Science different from BI and Data Analyst
· Who are DataScientist?
· What skill sets are required to become a DataScientist ?
· What is Machine Learning?
· Statistics and Mathematics for Data Science
Introduction to Python
· Introduction to Anaconda
· Installation of Anaconda Python Distribution – For Windows, Mac OS, and Linux
· Jupyter Notebook Installation
· Jupyter Notebook Introduction
· Variable Assignment