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Applied Data Science with Python Specialization – By University of Michigan

An excellent Python-based data science course, covering data analysis, visualization, and machine learning with hands-on projects.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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What you will learn

  • Gain a solid foundation in data science using Python.
  • Learn data manipulation, cleaning, and analysis with Pandas and NumPy.
  • Master data visualization using Matplotlib and Seaborn.

  • Understand statistical analysis, hypothesis testing, and probability concepts.
  • Develop skills in machine learning with Scikit-learn.
  • Work on real-world data science projects to build your portfolio.

Program Overview

Introduction to Data Science with Python

⏱️4-6 weeks

  • Overview of data science workflow and Python programming.
  • Learn the basics of data types, loops, and functions in Python.

Data Wrangling & Cleaning

⏱️6-8 weeks

  • Work with Pandas and NumPy for data manipulation.
  • Learn data preprocessing techniques for structured and unstructured data.

Data Visualization & Exploratory Data Analysis (EDA)

⏱️8-10 weeks

  • Use Matplotlib and Seaborn to create insightful visualizations.
  • Perform exploratory data analysis to uncover patterns and trends.

Statistics & Probability for Data Science

⏱️10-12 weeks

  • Understand descriptive and inferential statistics.
  • Learn about hypothesis testing, regression, and probability distributions.

Machine Learning with Python

⏱️12-15 weeks

  • Introduction to machine learning models using Scikit-learn.
  • Work on classification, regression, and clustering techniques.

Capstone Project: Real-World Data Science Application

⏱️Final Project

  • Apply all concepts learned in a hands-on data science project.
  • Use Python to clean, analyze, visualize, and build machine learning models.

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Job Outlook

  • Data science is a top in-demand field, with a 35% job growth projection by 2030.
  • Python is the most widely used language in data science and AI.
  • Data Scientists earn an average salary of $100K – $150K per year.
  • Career paths include Data Scientist, Data Analyst, AI Engineer, and Machine Learning Engineer.
  • Companies across finance, healthcare, tech, and e-commerce seek data science professionals.
9.5Expert Score
Highly Recommended
This specialization provides a strong foundation in Python for data science, covering essential data analysis, visualization, and machine learning concepts.
Value
8.8
Price
9.3
Skills
9.4
Information
9.2
PROS
  • Beginner-friendly, no prior coding experience required.
  • Hands-on projects with real datasets.
  • Teaches industry-standard Python libraries for data science.
  • Covers both theoretical and practical aspects of data science.
CONS
  • Some topics require additional practice for mastery.
  • Does not cover deep learning or advanced AI topics.
  • Requires self-discipline to complete successfully.

Specification: Applied Data Science with Python Specialization – By University of Michigan

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

Applied Data Science with Python Specialization – By University of Michigan
Applied Data Science with Python Specialization – By University of Michigan
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