From
Wipro Talent Next
Duration
6 months/90hrs
Targeted Audience
5th sem/6th sem students
Prerequisites
Basic mathematical knowledge, familiarity with any programming language, and basic computer usage skills.
About the Course
Course Overview
A "Data Science with Python" course designed for students would likely focus heavily on practical applications of Python libraries like Pandas, NumPy, Matplotlib, Scikit-learn for data cleaning, manipulation, visualization, and machine learning tasks, with emphasis on real-world business problems relevant to IT services, consulting, and engineering

Learning Outcomes
LO's-1
Apply Python libraries such as Pandas, NumPy, and Matplotlib to clean, manipulate, and visualize datasets.
LO's-2
Use Python to implement machine learning algorithms like regression, classification, and clustering on real-world data.
LO's-3
Apply data pre-processing techniques, including handling missing values, outliers, and scaling features, to prepare data for analysis.
LO's-4
Utilize exploratory data analysis (EDA) methods to identify trends, correlations, and patterns in data.
LO's-5
Implement model evaluation techniques, such as cross-validation and performance metrics, to assess the accuracy and effectiveness of machine learning models.
Assessment Methods
- Quiz (Online)
- Module wise Milestones
- Module wise Mini Project
- Final Project
- Global Certifications