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.
Get certificate
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.
Specification: Applied Data Science with Python Specialization – By University of Michigan
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FAQs
- Yes, it’s designed for beginners with basic Python or programming knowledge.
- The specialization introduces data science concepts using Python libraries like pandas, matplotlib, scikit-learn, nltk, and networkx.
- Ideal for those aiming to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques.
- The specialization consists of 5 courses:
- Introduction to Data Science in Python
- Applied Plotting, Charting & Data Representation in Python
- Applied Machine Learning in Python
- Applied Text Mining in Python
- Applied Social Network Analysis in Python
- The estimated time to complete is 20 weeks, with a commitment of 4–6 hours per week.
- A capstone project allows you to apply learned concepts to a real-world data science problem.
- Yes, upon completing the specialization, you will earn a Certificate of Completion from the University of Michigan.
- The certificate can be added to your resume or LinkedIn profile to showcase your skills in data science.
- The course has received a 4.5 out of 5 stars rating, with over 26,000 reviews.
- Learners appreciate the structured lessons, hands-on projects, and real-world applications provided throughout the specialization.
- Many have found it to be an excellent preparation for careers in data science and analytics.
Applied Data Science with Python Specialization – By University of Michigan
