Harvard University · edX
Introduction to Data Science with Python
4.3174 ratingsLearn the concepts and techniques that make up the foundation of data science and machine learning.
Overview
Clean up messy data, uncover patterns and insights, and communicate your findings. You'll start with an introduction to data analysis tools, including Jupyter Notebook, NumPy, pandas, and Matplotlib. Using these tools, you will ask questions about data and answer them through data collection, exploration, wrangling, and visualization. This intermediate-level program includes real-world projects where you will choose your own datasets, research questions, and analysis approach. As you progress through the program, each course will repeat the data analysis process while introducing more advanced techniques, such as applying data imputation to fill in missing data and applying appropriate encodings when developing data visualizations.
Courses in this learning path or series 5
- Welcome to the Data Analyst Nanodegree Program
- Introduction to Data Analysis with Pandas and NumPy
Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. You will work with data in Python using libraries like NumPy and pandas.
- Data Visualization with Matplotlib and Seaborn
Learn to apply sound design and data visualization principles to the data analysis process. Learn how to use analysis and visualizations to tell a story with data.
- Advanced Data Wrangling
Data wrangling is a set of processes for turning raw and messy data into a clean format to answer interesting questions from the data. In this course, you will learn the three phases of data wrangling: gathering, assessing, and cleaning data.
- Congratulations!
Congratulations on finishing your program!
Skills you'll practise
Advantages and disadvantages
Advantages
- Rated 4.8 out of 5 by 1,310 learners.
- Self-paced: start any time.
- A clear syllabus (5 parts) you can see before you start.
Disadvantages
- Paid.
- Short (5 minutes): an overview, not deep coverage.
Some points apply to every course of this kind; see how we rank.
Paid
- Paid: Udacity sells a monthly or yearly subscription that covers its courses and Nanodegree programs. Check the current price on the official page.
- Certificate: Check on the course page what the paid plan includes.
Before you start
File i/o. Inferential statistics. Basic Python. Elementary algebra. Basic SQL. Basic descriptive statistics
Taught by
- Josh Magee
- Ria Cheruvu
- Matt Maybeno
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