Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Data Processing Using Python certification course has been mainly designed for non-computer significance. The course commences with fundamental principles of Python. The candidates would learn to obtain data in Python locally and from the chain, to learn to introduce information, how to regulate data, how to create fundamentals and advanced statistical inspection and anticipate data. They would also learn to design an easy GUI to process and introduce data, enhancing level by level.
This Data Processing with Python training is based upon the Finance data and establishment of case studies which would empower the candidates to understand the coherence, grace, and durability of Python. The programme will also describe the ability, efficiency, and convenient data processing scope of Python in social sciences and humanities apart from the business field. The course has been updated recently, from Python 2. x the course has started focusing on Python 3. x. Web API is included for parsing and fetching. The modules are available in Chinese but English subtitles are also provided.
The Highlights
- Course offered by Nanjing University
- 29 hours of course duration
- Certification by Coursera
- Availability of Financial Help
- Flexible deadline
- 100% online
Programme Offerings
- Pre-recorded Modules
- 100% Online
- practice exercise
- Graded Assignments
- Reading exercise.
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2435 | yes | Coursera |
The fees for the course Data Processing Using Python is -
| Head | Amount in INR |
| Certificate fees | Rs. 2,435 |
Eligibility Criteria
Work Experience
Prior work experience is not required to pursue the course.
Certification Qualifying Details
Coursera provides Data Processing with Python certification by Coursera to all those candidates who make the fee payment as well as clear all the assignments and projects that are a part of the programme.
What you will learn
- After completing the Data Processing with Python certification syllabus, the candidates would master the fundamental language, framework, basic operations, functions, loops, conditions, modules, and data types in Python.
- The candidates would acquire skills in the mode of obtaining network data in Python and use basic data structure string, list, tuple, and sequence in Python.
- The candidates would gain expertise in the intermediate-level and updated uses of Python.
Who it is for
The Data Processing with Python certification actually shall be ideal for the ones who are meant to perform data processing along with Python and become python programmers.
Admission Details
Candidates looking forward to seeking admission in the Data Processing Using Python classes need to follow the below-mentioned steps:
Step 1: Visit https://www.coursera.org/learn/python-data-processing which is the official page for the programme.
Step 2: The candidate should click ‘Enroll for free’ tab which will lead to login creation. Create a login id and sign up with the help of Google or Facebook.
Step 3: There will be 2 options to proceed ahead namely, Full Course, No certificate and Purchase Course.
Step 4: If ‘purchase the course’ is clicked, candidates need to make the fee payment and get access. If the candidate clicks the latter then the course will be accessed without payment but no certificate will be given for the same.
Step 5: Payment can be made using your debit/credit card or net banking.
The Syllabus
Video
- Promotion video
Readings
- Teaching Methods
- FAQ
Videos
- Introduction to Python
- The First Python Program
- Basics of Python Syntax
- Data Types of Python
- Basic Operations of Python
- Functions, Modules and Packages of Python
- Extension: Build a Python Environment
- Conditions
- range
- Loops
- break, continue and else in Loops
- Self-defined Functions
- Recursion
- Scope of Variable
- A1: Standard Library Functions
- A2: Exceptions
Readings
- Walk into Python slides
- References
- Programming exercises(Not Graded)
- Multi-dimensional View of Python slides
- Control structure & function exercises(9 questions)
Assignments
- Walk into Python quiz
- More About Python quiz
Programming Assignment
- find out the 6-th Monisen number(3 points)
Discussion Prompt
- The characteristic of recursive algorithm
Videos
- Local Data Acquisition
- Network Data Retrieval
- Extension: RE introduction
- Extension: Dynamic web crawling example
- Sequence
- String
- List
- Tuple
- Extension: IO&functional programming
- Extension: Mutable objects modify issue
Readings
- Data Retrieval and Represent slides
- Internet Data Retrival Programming exercise(Not Graded, update on Oct 17, 2020))
- code snippets for reference only
- Sequence fuctions practice
- Sequences and Files Programming Exercise(8 questions)
Assignment
- Data Acquisition and Presentation quiz
Discussion Prompt
- KO Math Whiz
Videos
- Why Are Dictionaries Needed
- Dictionary Use
- Set
- Extension: dict and set programming examples
- Extension Library SciPy
- ndarray
- Series
- DataFrame
- Extension: Common numpy applications
Readings
- Data Structure Selection
- Interesting)2 Examples of Effective Use of set and dict
- Powerful Data Structure and Software Ecosystem slides
- Programming exercise(Not Graded)
- Classic dict programming(2 questions, update on Jan 16, 2022)
- Programming exercise for DataFrame(Not Graded)
- Modify the DataFrames
Assignment
- Powerful Data Structures and Python Extension Libraries quiz
Discussion Prompt
- ufunc functions
Videos
- Convenient and Fast Data Acquisition
- Fundamentals of Python Plotting
- Data Clean of Data Exploration and Preprocessing
- Data Transformation of Data Precessing
- Data Reduction of Data Preproccessing
- Copy of 1 Convenient and Fast Data Acquisition
- Basic Data Characteristics Analysis of Data Exploration
- Data Statistics and Analysis Based on pandas
- Cluster Analysis
- Aplications of Python into Science and Engineering Fields
- Applications into Humanities and Social Sciences Fields
- Extension: An Analysis of the Differences between Males and Females on Film Ratings
- Extension: Classification of Red Wine Data Based on Random Forest Model
Readings
- Data retrieval and preprocessing of Python Slides
- References
- code snippets for reference only
- Analyze test results using Box-plot
- Web API - TuShare and Data Analysis task
- Titanic Data Set Acquisition
- Data Statistics, Mining and Application Slides
- code snippets for reference only
- K-means algorithm an discussion on K value
- Extension: Scikit-learn Machine Learning Basics
- Project- —Linear Regression for Boston houses price prediction
- Extension: Introduction to WAV audio processing
- Learn More about NLTK
Assignments
- Data retrieval and preprocessing of Python quiz
- Data Statistics, Mining and Application quiz
Programming Assignment
- Movies review programming exerciese(4 points)
Videos
- GUI and Object Orientation
- Abstraction
- Inheritance
- Basic Framework of GUI
- Common Components of GUI
- Layout Management
- Other GUI Libraries
- Comprehensive Applications
Readings
- Object Orientation and Graphical User Interface Slides
- code snippets for reference(BMI calculation)
- Crazy players(1 program, Not Graded)
- Comprehensive practice project
- code snippets for reference only
Assignments
- Object Orientation and Graphical User Interface quiz
- Examination
Instructors
Nanjing University, Nanjing Frequently Asked Questions (FAQ's)
Unfortunately, this Data Processing Using Python programme by Coursera doesn’t provide the advantage of university credit to the candidates.
Data Processing Using Python would be taught by ZHANG Li, who is the associate professor of, the Department of Computer Science at Nanjing University.
“Full Course, No Certificate” is one of the modes of enrollment that offers the candidates access to course materials and get grades after submitting the assignments. In this mode, the candidates are not eligible to earn the certificate.
Data Processing Using Python is a 6-week programme that would take 29 hours approximately to complete the course.
The payment once made cannot be refunded. However, the candidates can speak with the officials at Coursera regarding the same.