The biggest challenge of the information explosion happening these days is the Data administration and management. Data Science course gets you the in depth understanding of statistical techniques for the data analysis. The course allows one to bring up their basic database knowledge and make it apply to the more advanced level of data science. The career of the future is Data Science which is a very much typically needed for the current data analysis of IT field.
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 Analyst
Data Scientist
M/L engineer
Data Science Lead
Data Scientist
M/L engineer
Data Science Lead
Curriculum
Introduction to Data science
What is data science?
How is Data Science different from BI and Data Analyst
Who are Data Scientist?
What skill sets are required to become a Data Scientist ?
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
Basic Data Types: Integer, Float, String, None, and Boolean; Typecasting
Creating, accessing, and slicing tuples
Creating, accessing, and slicing lists
Creating, viewing, accessing, and modifying dicts
Creating and using operations on sets
Basic Operators: ‘in’, ‘+’, ‘*’
Functions
Classes and Objects
Packages
What is data science?
How is Data Science different from BI and Data Analyst
Who are Data Scientist?
What skill sets are required to become a Data Scientist ?
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
Basic Data Types: Integer, Float, String, None, and Boolean; Typecasting
Creating, accessing, and slicing tuples
Creating, accessing, and slicing lists
Creating, viewing, accessing, and modifying dicts
Creating and using operations on sets
Basic Operators: ‘in’, ‘+’, ‘*’
Functions
Classes and Objects
Packages
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