About this Course

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Flexible deadlines

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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

Shareable Certificate

Earn a Certificate upon completion

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

Week 1

24 minutes to complete

Welcome to learn Data Processing Using Python!

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

Basics of Python

7 hours to complete
16 videos (Total 170 min), 5 readings, 3 quizzes
16 videos
2 The First Python Program16m
3 Basics of Python Syntax15m
4 Data Types of Python9m
5 Basic Operations of Python10m
6 Functions, Modules and Packages of Python8m
1.1 Extension: Build a Python Environment4m
1 Conditions12m
2 range5m
3 Loops15m
4 break, continue and else in Loops11m
5 Self-defined Functions14m
6 Recursion11m
7 Scope of Variable4m
A1: Standard Library Functions14m
A2: Exceptions10m
5 readings
1.1 Walk into Python slides10m
1.1 References10m
1.1 Programming exercises(Not Graded)10m
1.2 Multi-dimensional View of Python slides10m
1.2 Control structure & function exercises(9 questions)10m
2 practice exercises
Walk into Python quiz20m
More About Python quiz24m
Week
2

Week 2

4 hours to complete

Data Acquisition and Presentation

4 hours to complete
10 videos (Total 139 min), 5 readings, 1 quiz
10 videos
2 Network Data Retrieval20m
2.1 Extension: RE introduction16m
2.1 Extension: Dynamic web crawling example5m
1 Sequence8m
2 String17m
3 List14m
4 Tuple7m
2.2 Extension: IO&functional programming15m
2.2 Extension: Mutable objects modify issue9m
5 readings
2 Data Retrieval and Represent slides10m
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

Week 3

3 hours to complete

Powerful Data Structures and Python Extension Libraries

3 hours to complete
9 videos (Total 109 min), 5 readings, 1 quiz
9 videos
2 Dictionary Use15m
3 Set11m
3.1 Extension: dict and set programming examples12m
1 Extension Library SciPy6m
2 ndarray18m
3 Series7m
4 DataFrame8m
3.2 Extension: Common numpy applications16m
5 readings
3 Powerful Data Structure and Software Ecosystem slides10m
3.1 Programming exercise(Not Graded)10m
3.1 Classic dict programming(1 question)10m
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

Week 4

10 hours to complete

Python Data Statistics and Mining

10 hours to complete
12 videos (Total 222 min), 13 readings, 3 quizzes
12 videos
2 Fundamentals of Python Plotting23m
3 Data Clean of Data Exploration and Preprocessing20m
4 Data Transformation of Data Precessing22m
5 Data Reduction of Data Preproccessing18m
1 Basic Data Characteristics Analysis of Data Exploration24m
2 Data Statistics and Analysis Based on pandas27m
3 Cluster Analysis14m
4 Aplications of Python into Science and Engineering Fields7m
5 Applications into Humanities and Social Sciences Fields7m
4.2 Extension: An Analysis of the Differences between Males and Females on Film Ratings17m
4.2 Extension: Classification of Red Wine Data Based on Random Forest Model21m
13 readings
4.1 Data retrieval and preprocessing of Python Slides10m
4.1 References10m
4.1.1 code snippets for reference only10m
4.1.3: Analyze test results using Box-plot10m
Web API - TuShare and Data Analysis ta30m
4.1 Titanic Data Set Acquisition10m
4.2 Data Statistics, Mining and Application Slides10m
4.2 code snippets for reference only10m
4.2.1 K-means algorithm an discussion on K value10m
4.2.1 Extension: Scikit-learn Machine Learning Basics10m
4.2.6 Project- —Linear Regression for Boston houses price prediction10m
4.2.6 Extension: Introduction to WAV audio processing10m
4.2.7 Learn More about NLTK10m
2 practice exercises
Data retrieval and preprocessing of Python quiz16m
Data Statistics, Mining and Application quiz20m
4.4
41 ReviewsChevron Right

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.

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.

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