```html Course Details - Data Science Foundations

Data Science Foundations

Duration:
25h 12m · Video + Project

Discover the art of Data Visualization and Machine Learning

Master the fundamentals of data science with practical hands-on experience.

Course Description

Data Science is a dynamic field that involves analyzing and interpreting complex datasets to make sense of the data and drive business and scientific decision-making. This course is designed to give you a solid foundation in Data Science, Machine Learning, and Data Analysis. You’ll begin by learning how to clean datasets, explore data visualisation techniques, and learn to perform statistical analyses. You will learn to work with Python, Python and R, perform Exploratory Data Analysis (EDA), and create visual plots using Matplotlib, Seaborn and Tableau. As the course progresses, you will build projects on real-world datasets. This is a project-based course, with hands on practice on Python, Python, Pandas and machine learning models.

  • Intro to Python
  • Data Wrangling, Exploratory Data Analysis
  • Python: Statistical Analysis

    • 1. Introduction to Data Science Foundations

    • 4 Lessons

      • Understand the fundamentals of Data Science

      Duration: 22 minutes

      Understand the fundamentals of data science and how they apply in real-world scenarios.

Project Overview

 

You will build a personal project portfolio in Python that explores a real-world data set, and create visualizations using Python and Python to solve practical problems with real world examples including real dataset exploration and machine learning modeling.

Course Content

      • Module 4: Python Data Analysis with Pandas and Numpy
      • 1h 30m
        • Explore datasets
        • 20 videos
      • 45 videos, 8 quizzes
      • Machine Learning and Deep Learning with Python
    • Explore

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