Data Science with Python Course Content
The Data Science with Python course curriculum is structured to streamline the learning process by a team of experts. You can find the complete course details in below-mentioned modules
Course Curriculum
Module 1: Setting up software required
In this module, you will learn about the
- software installation and instructions, etc.
Module 2: Python Fundamentals
In this module, you will learn about
- data science with python fundamentals,
- data types,
- strings in python,
- variables,
- values,
- boolean types,
- loops,
- decision making,
- functions,
- iteration,
- data time library,
- getting data from the internet through JSON,
- XML, Google API, etc.
Module 3: Database Basics
In this module, you will learn about the
- SQL integration with python,
- working with multiple tables,
- normalization, etc.
Module 4: Data Analysis and Visualization
In this module, you will learn about the
- numpy introduction,
- pandas,
- google finance data and time series data,
- data cleaning and visualization,
- text and sentiment analysis,
- topic modelling, etc.
Module 5: Machine Learning with python
In this module, you will learn about the
- classification,
- regression,
- algorithms,
- clustering,
- K NN algorithm,
- constructing a simple network, etc.
Module 6: Analysis of networking
In this module, you will learn about the
- analysis of networking,
- graph drawing,
- network analysis algorithm, etc.
Module 7: Conclusion
- Summarize all the points discussed.
