Data Science with Python

0.0
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0 Enrolled
30 hours

About Course

What You Will Learn

  • Data processing, cleaning, and visualization in Python

  • Use NumPy, Pandas, Matplotlib, and Seaborn

  • Basics of Machine Learning with Scikit-learn

Includes

  • 30+ Hours of Content

  • Capstone Project with Real Data

  • ML Introduction

Description

Designed for aspiring data scientists. Learn the data science workflow from preprocessing to basic machine learning using Python.

Material Includes

  • Video lectures
  • Lecture slides and notes
  • Programming assignments in Octave/MATLAB
  • Quizzes and assessments
  • Practical case studies and examples
  • Access to online discussion forums
  • Certificate upon completion (for paid users)

Requirements

  • Basic knowledge of linear algebra and calculus (helpful but not required)
  • Familiarity with basic programming concepts (no prior experience needed)
  • Access to a computer with internet and Octave/MATLAB installed (for assignments)
  • Recommended: 8-10 hours per week for study and assignments
  • Complete assignments and quizzes to reinforce learning

Course Content

Day 1 to 3

  • Excel & Python Basics

Day 4 to 6

Day 7 to 9

Day 10 to 12

Instructors

Mayukh

Mayukh

3.0
3 Students
14 Courses
admin

admin

4.1
16 Students
26 Courses
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