From

Wipro Talent Next

Duration

6 months/90hrs

Targeted Audience

5th sem/6th sem students

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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

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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