Data Science and Analysis with Python
- Offered byArdent Computech
Data Science and Analysis with Python at Ardent Computech Overview
Duration | 40 hours |
Total fee | ₹4,499 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Data Science and Analysis with Python at Ardent Computech Highlights
- Earn a certification after completion
- Case studies and live projects for real world exposure
- Learn from expert faculty
Data Science and Analysis with Python at Ardent Computech Course details
Aspiring Data Scientists
Business Analysts and Data Analysts
Software Developers and Programmers
Business Owners and Managers
Understand the core concepts of Python programming and its application in data science
Manipulate and analyze large datasets using Pandas and NumPy
Visualize data effectively to convey insights using Matplotlib and Seaborn
Perform statistical analysis and apply machine learning models to solve real-world problems
Work on end-to-end data science projects, from data cleaning to building predictive models
This course is designed to equip you with the necessary tools and techniques to analyze large datasets, draw meaningful insights, and make data-driven decisions
You will develop the skills needed to perform complex data analysis and build predictive models using Python’s most powerful libraries
Data Science and Analysis with Python at Ardent Computech Curriculum
Lesson 01 - Artificial Intelligence
Overview of Artificial intelligence
Problems of AI
Lesson 02 - Intelligent Agents
Agents & environment
Nature of environment
Lesson 03 - Data Science Overview
Introduction to Data Science
Different Sectors Using Data Science
Lesson 04 - Data Analytics Overview
Data Analytics Process
Knowledge Check
Lesson 05 - Statistical Analysis and Business Applications
Introduction to Statistics
Statistical and Non-statistical Analysis
Lesson 06 - Python Environment Setup and Essentials
Anaconda
Installation of Anaconda Python Distribution
Lesson 07 - Mathematical Computing with Python (NumPy)
Introduction to Numpy
Activity-Sequence it Right
Lesson 08 - Scientific computing with Python (Scipy)
Introduction to SciPy
SciPy Sub Package - Integration and Optimization