Data Science with Python

Last Update January 20, 2025
1 already enrolled

About This Course

Course Description

A comprehensive course teaching data science fundamentals through advanced concepts using Python. Students will learn data analysis, statistical methods, machine learning, and data visualization while working on real-world projects and datasets.

Course Objectives

By the end of this course, students will be able to:

  • Process and analyze large datasets using Python
  • Apply statistical methods for data analysis
  • Build and evaluate machine learning models
  • Create compelling data visualizations
  • Develop end-to-end data science projects
  • Make data-driven decisions

Prerequisites

  • Basic Python programming knowledge
  • Understanding of basic mathematics
  • Familiarity with basic statistics (recommended)
  • Computer with minimum 16GB RAM

Assessment Structure

  • Weekly assignments (30%)
  • Mini-projects (25%)
  • Quizzes (15%)
  • Final project (30%)

Course Materials

  • Jupyter notebooks
  • Dataset collections
  • Code templates
  • Case studies
  • Reference guides

Technical Requirements

  • Python 3.8 or later
  • Jupyter Notebook/Lab
  • Required Python libraries
  • Git for version control
  • Cloud platform access (optional)

Support Resources

  • Weekly office hours
  • Discussion forums
  • Code review sessions
  • Dataset resources
  • Online references

Additional Tools

  • GitHub for collaboration
  • Cloud computing platforms
  • Data visualization tools
  • Model deployment platforms
  • Business intelligence tools

Recommended Datasets

  • Kaggle datasets
  • UCI Machine Learning Repository
  • Google Dataset Search
  • Public government datasets
  • Industry-specific datasets
Last edited 1 minute ago

 

Curriculum

11 Lessons

Module 1: Data Science Foundations (2 weeks)

Week 1: Introduction to Data Science
Week 2: Data Manipulation

Module 2: Statistical Analysis and Visualization (3 weeks)

Module 3: Machine Learning Fundamentals (4 weeks)

Module 4: Advanced Topics and Applications (3 weeks)

Your Instructors

InfoSoft

4.95/5
6 Courses
20 Reviews
3 Students
See more
Data Science
Free
Level
Intermediate
Lectures
11 lectures
Subject

Course categories

Want to receive push notifications for all major on-site activities?

Select the fields to be shown. Others will be hidden. Drag and drop to rearrange the order.
  • Image
  • SKU
  • Rating
  • Price
  • Stock
  • Availability
  • Add to cart
  • Description
  • Content
  • Weight
  • Dimensions
  • Additional information
Click outside to hide the comparison bar
Compare

Don't have an account yet? Sign up for free

No apps configured. Please contact your administrator.
No apps configured. Please contact your administrator.