Certificate Program on Intro to Python Programming 

Take Your First Step Towards Being A Python Programmer

20 Hours | Live Interactive |

Starts 27 Nov, 2021 & Timings: 6:00 to 8:00 PM (IST)

Saturday & Sunday | Avail Early Bird Offer | Discount Ending Soon| 

7 Day Money Back Guarantee

Course Overview:

The course will introduce participants to the general principles of programming as also serve as a detailed introduction to the Python programming language.  Participants will learn how to code in Python. It will serve as a first crucial step towards a career in data analysis and data science.

  • Those who are first-timers to programming will obtain a strong foundation to build a career in programming.
  • Those who are already familiar with other programming languages will be able to quickly transition to programming in Python.
  •  Students will get comfortable with handling text corpuses.
  • Students will be able to satisfy the Python programming pre-requisite for advanced Data Science courses involving Python coding.
  • They will be equipped to commence work on achieving a Python coding rank with online coding websites such as Hackerrank.  


Any individual who is:

  • Interested in coding and learning to program in Python. 
  • Aspiring to be a data analyst or data scientist, with little or no formal training in the subject.  

  • The course does not require prior programming experience.
  • A desire to think logically will be an asset.
  • An exposure to Microsoft Excel as a computational tool would be an advantage.
  • Basic understanding of logic and flowcharts would be an advantage.
  • Students are encouraged to join the online course from their computer (rather than a mobile phone). It is advised that Python 3.x be installed on the student’s computer, so that the student can experiment with Python code after course hours.

                                      Key Features

Live Coaching

20 hours instructor-led, live interactive training.

Continuous Assessment

Pre-course and post-course evaluation assignment

Collaborative Building of Code Snippet

 The instructor and students shall jointly build code snippets for stated problems. 


Constant Learner Support

Digital office hours + teaching assistant + lifetime recording access on LMS.

Alumni Status

Industry event invitations + student network access

Career Enhancement

1 session for resume building & interview skills.


MDAE's Online Courses Loved By Learners Across 
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Meet Your Course Faculty

Pravesh S. Tiwari  

Manager in L&T financial services

A diligent data scientist, silent visualizer and an enthusiastic programmer with 5+ years of experience in building machine learning models data processing and scripting in different programming languages including R and Python. Pravesh loves to analyze data using different models to furnish valuable insights.

Session-Wise Course Curriculum

  • A logical view of your computer
    • What does it mean to write a computer program?
    • What are the basic things that a computer program does?
  • Integrated Development Environments (IDEs)
    • Commonly used Python IDEs
    • The IDLE IDE
  • A simple program in Python
    • Printing to the screen
    • Accepting input from the keyboard
    • Saving the python program as a source code file
    • The instructor will develop the code in class
    • We will inspect the code and identify various components therein
      • Variables
      • Data types
      • Constants
      • Arithmetic expressions
      • The assignment operator
      • Python functions
  • The three common ways to run your Python code
    • Running code in the IDLE shell
    • Running a source code file from IDLE
    • Running a source code file from the command prompt
  • Basic Python data types and variables
    • Integer
    • Float
    • String
    • Boolean
    • Declaring variables of the above types
    • The Python type function
    • Return to the logical view of your computer’s memory to understand variable allocation
    • Understanding the need for the NoneType in Python
  • An in-depth look at the boolean type
  • Python operators
    • Arithmetic operators
    • Relational operators
    • Assignment operators
    • Logical operators
    • Identity operators
    • Binary (bitwise) operators
  • Python in-built functions – an introduction
    • The Python print function
    • The Python input statement
    • sys.argv
  • The string data type
    • String indexing
    • String functions
    • Unicode strings
    • Escape sequences in strings
  • The if statement
    • What is an if statement
    • The philosophy behind an if statement
    • Variations and nuances of the if statement
      • if
      • if…else
      • if…elif…else
      • Nested if’s
    • A practical example demonstrating if statements and their usage
  • Python in-built functions
    • abs, float, int, len, str, max, min, print, input, range, round, sorted, sum, asci, chr, list, set, type, any, all, math.pow, math.sqrt, math.factorial, math.trunc, math.pi
  • The Python list type
    • Iterable types
    • Subscriptable/indexable types
    • Mutable type
    • The list data type
    • Creation of lists, list comprehension
    • List type methods
  • Programming Loops
    • Why do we need to code loops
    • For loops
    • While loops
    • Termination of loops, the break statement
    • The continue statement
    • Develop a Python program to implement a loop
  • Functions
    • Defining your own functions
      • Function declaration
      • Function name
      • Function arguments
      • Named and unnamed arguments
      • Function body
      • Return value(s)
    • Organizing your code
      • Placing your functions in distinct source code files (packages)
    • Develop a Python program using a function we will create
  • The NumPy package
    • Numpy arrays
    • Numpy mathematical functions
  • The pandas package
    • Working with excel and csv files in Python
    • Importing data from an excel sheet into Python and exporting data from Python to excel
    • Assigning column names, extracting individual rows and columns
    • Dealing with missing data
    • Summarizing data

Select Projects / Case Studies

Code Snippet 1

Candidates are being screened for the positions of security officers. Their ages must be between 25 and 35 years, both inclusive. Their weights must be between 65 and 85 kg. If the age is less than 30 years then the weight must be less than 75 kg. If the age is greater than or equal to 30 years then the weight must be greater than or equal to 75 kg.

Develop a Python code snippet to accept the appropriate inputs and report whether the candidate passes the screening test.

Develop test cases to test the above snippet.


Code Snippet 2

An analysis has been done about the Indian team's test match performance in England. The following observations are available. We want to draw reasonable conclusions about the outcome of a test match from them:

Before the test series begins, the Indian team always has a 3-day match with Surrey. The outcome of the first test match always behaves differently from the subsequent test matches. Observed characteristics of the first test match are as follows. Batting first, India loses if it had won the Surrey game. Batting second, India tends to lose if it's first innings total against Surrey was less than 300. If it was more than 300, the first test match tends to draw. Batting first, the test usually draws if India lost against Surrey.

Observed characteristics of the subsequent test matches are as follows. A test match (other than the first one) at the Oval is special. India wins if it plays more than two spinners, otherwise the test ends in a draw. At grounds other than the Oval, India loses if it plays three or less pacers; but if India fields more than 3 pace bowlers it is highly likely to win.

Develop a Python code snippet to accept the appropriate inputs for a specific test match and report the probable result of the test match.

Develop test cases to test the above snippet.

Code Snippet 3 

Develop a Python code snippet that will receive a text corpus as an input and identify all palindromes in the corpus.


Alumni Track Record!

MDAE alumni working in diverse roles across leading companies.

Arushi Mishra 

Data Consultant

Vallari Naik

 Trainee Decision Scientist

Pooja Joshi

  Senior Research Analyst

Nishitha Mehta

Risk Analyst

Swati Shrimali

 Business Analyst

Ujas Shah

  Research Analyst



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Python Programming

20 Hours Online Live Certification

Certificate Program on Intro to Python Programming

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