About this Course

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Beginner Level
Approx. 29 hours to complete
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. 29 hours to complete
English
Subtitles: English

Offered by

Nanjing University logo

Nanjing University

Syllabus - What you will learn from this course

Content RatingThumbs Up93%(1,382 ratings)Info
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), 6 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
6 readings
Data Structure Selection10m
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
13 videos (Total 240 min), 13 readings, 3 quizzes
13 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
Copy of 1 Convenient and Fast Data Acquisition18m
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 task30m
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

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