About this Course
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Beginner Level

Approx. 27 hours to complete

Suggested: 3-5 hours/week...

English

Subtitles: English

Skills you will gain

Python ProgrammingNumpyPandasWxpython

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 27 hours to complete

Suggested: 3-5 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
24 minutes to complete

Welcome to learn Data Processing Using Python!

1 video (Total 4 min), 2 readings
1 video
2 readings
Teaching Methods10m
FAQ10m
7 hours to complete

Basics of Python

15 videos (Total 145 min), 3 readings, 3 quizzes
15 videos
2 The First Python Program15m
3 Basics of Python Syntax11m
4 Data Types of Python9m
5 Basic Operations of Python10m
6 Functions, Modules and Packages of Python7m
1 Conditions10m
2 range5m
3 Loops6m
4 break, continue and else in Loops11m
5 Self-defined Functions14m
6 Recursion7m
7 Scope of Variable4m
A1: Standard Library Functions14m
A2: Exceptions10m
3 readings
1.1 References10m
1.1 Programming exercises(Not Graded)10m
1.2 Control structure & function exercises(9 questions)10m
2 practice exercises
Walk into Python quiz20m
More About Python quiz24m
Week
2
3 hours to complete

Data Acquisition and Presentation

6 videos (Total 79 min), 5 readings, 1 quiz
6 videos
2 Network Data Retrieval21m
1 Sequence8m
2 String17m
3 List9m
4 Tuple7m
5 readings
2.1 References(re)10m
2.1 Internet Data Retrival Programming exercise(Not Graded)10m
2.1 code snippets for reference only10m
Sequence fuctions practice10m
Sequences and Files Programming Exercise(8 questions)10m
1 practice exercise
Data Acquisition and Presentation quiz30m
Week
3
3 hours to complete

Powerful Data Structures and Python Extension Libraries

7 videos (Total 70 min), 5 readings, 1 quiz
7 videos
2 Dictionary Use12m
3 Set11m
1 Extension Library SciPy6m
2 ndarray12m
3 Series7m
4 DataFrame7m
5 readings
3.1 Programming exercise(Not Graded)10m
3.1 Classic dict programming(2 questions)10m
3.2 References10m
3.2 Programming exercise for DataFrame(Not Graded)10m
3.2 Modify the DataFrames10m
1 practice exercise
Powerful Data Structures and Python Extension Libraries quiz28m
Week
4
8 hours to complete

Python Data Statistics and Visualization

14 videos (Total 110 min), 12 readings, 3 quizzes
14 videos
2 Data Preparations6m
3 Data Display4m
4 Data Selection8m
5 Simple Statistics and Processing8m
6 Grouping4m
7 Merge8m
1 Cluster12m
2 Basics of Matplotlib Plotting7m
3 Control of Matplotlib Image Attributes9m
4 Plotting with pandas6m
5 Data Access4m
6 Applications of Python into Science and Engineering Fields7m
7 Applications into Humanities and Social Sciences Fields7m
12 readings
4.1 References10m
4.1.1 code snippets for reference only10m
4.1.2 code snippets for reference only10m
Web API - TuShare and Data Analysis ta30m
4.2 code snippets for reference only10m
4.2 Programming exercise for comparing the stock data(No Graded)10m
4.2.1K-means algorithm an discussion on K value10m
4.2.1 Extension: Scikit-learn Machine Learning Basics10m
4.2.4&4.2.5: Analyze test results using Box-plot10m
4.2.6 Extension: Introduction to WAV audio processing10m
4.2.6 Project- —Linear Regression for Boston houses price prediction10m
4.2.7 Learn More about NLTK10m
2 practice exercises
Basic Data Statistics of Python quiz16m
Advanced Data Processing and Visualization of Python quiz20m
4.4
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Top reviews from Data Processing Using Python

By SROct 22nd 2018

The course provides an insight into the basic structure of Python. It will help you in navigating the areas where Python is robust and effective.

By JLSep 12th 2017

It's a basic Python lesson, but providing some data analysis and GUI concepts, which needs you to explore after this class or in the future.

Instructor

Avatar

ZHANG Li

associate professor
Department of Computer Science

About Nanjing University

Nanjing University (NJU) is committed to excellence in teaching and research. Located on the prosperous eastern coast of China, NJU provides a dynamic environment that nurtures learning, creativity, and discovery on one of the most beautiful campuses in the country. Taking NJU's university offerings on Coursera will be a rewarding experience for learners from every corner of the world....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.