5
Lessons
15h
Duration
English
Language
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OBJECTIVES:
- By analyzing data using Python, organizations can make more informed decisions based on insights derived from their data. The outcome of implementing data science with Python is typically improved business performance, increased efficiency, and a deeper understanding of data-driven insights.
- Python’s machine learning libraries can be used to build predictive models that forecast future trends and outcomes based on historical data. Enhanced data visualization with Python that offers powerful tools for creating visualizations of data, making it easier for stakeholders to understand and interpret complex datasets.
Course features:
- Practical hands on
- Lab sessions
- Training by experienced faculty
Learning Path
- Data Types
- Variables And Other Basic Elements Control Statements
- Date and Time in Python
- Arrays and Strings
3 hours
- Lists and Tuples
- Dictionaries
- Series
- DataFrame
- Panel
- Basic Functionality
3 hours
- NumPy
- Pandas
- SciPy and Visualization with Matplotlib
3 hours
- Data Wrangling
- Web Scrapping
- Exploratory Data Analysis
- Feature Engineering
- Feature Selection
3 hours
- Project Case Studies: Customer Service Requests Analysis
- Movielens Case Study
- Comcast Telecom Consumer Complaints
3 hours