Why take Python Data Science And Data Visualization Advanced Training?
Programming languages have been around for different ages, and every time realizes the launch of a new language sweeping developers off their ends. Python is considered as one of the most popular and in-demand programming language many companies. A most resent Stack Overflow survey showed that Python has taken over languages such as Java, C, C++ and has made its way to the top. This makes Python Data Science And Data Visualization Advanced one of the most sought-after programming certifications
Brief about topic
- Python Programming Used in Many Sectors are
- Python is used in DataScience
- Python is used in Big Data
- Python is used in Machine Learning
- Python is used in Data Analytics
- Python is used to Creating Dataset to analysis the data (Information)
Training Syllabus
- Module-1-Introduction to Python Programming
- Module-2-Implementation of Python Programming
- Module-3-Conditional Constructs, Function
- Module-4-Implementation of looping Process
- Module-5-Implementation of String manipulations
- Module-6-List and its Methods Implementations
- Module-7-Dictionary and its Methods Implementations
- Module-8-Tuples and its Methods Implementations
- Module-9-Function and Its Implementations
- Module-10-Exception Handling Concepts and its Implementations
- Module-11-DataPresistence Concepts(FileIOConcepts)
- Module-12-OOPS Concepts and its Implementations
- Module-13-Basic Collection Concepts and Implementations
- Module-14-Introduction to Data Science
- Module-15-WebScriping and its Implementation
- Module-16-Introduction to Numpy and its Implementation
- Module-17-Introduction to Pandas and its Implementation
- Module-18-Introduction to Matplotlib and its Implementation
- Module-19-Database Concepts and implementation
- Module-20-Project Overviews and Implementations
- Developing a Searching Process to analysis quick informations in web pages
- SoftwareRequried:PythonShell,Pycharm,Anaconda