Python programing certification

Python programing certification

Learn Python programming from scratch through ProIct’s Python programming certification course. This Python Course will help you master important Python programming concepts such as data & file operations in Python, object-oriented concepts in Python & various Python libraries such as Pandas, Numpy, Matplotlib, and so on. This Python certification course is also a gateway towards your Data Science career.

Goal: Give brief idea of what Python is and touch on the basics.
Objectives: At the end of this Module, you should be able to:
  • Define Python
  • Understand why Python is popular
  • Setup Python environment
  • Understand Operands and Expressions
  • Write your first Python program
  • Understand command line parameters and flow control
  • Overview of Python
  • The Companies using Python
  • Other applications in which Python is used
  • Discuss Python Scripts on UNIX/Windows
  • Values, Types, Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Writing to the screen
Hands On/Demo:
  • Creating “Hello World” code
  • Variables
  • Demonstrating Conditional Statements
  • Demonstrating Loops

Goal: Learn different types of sequence structures, related operations and their usage. Also learn diverse ways of opening, reading, and writing to files.
Objectives: At the end of this Module, you should be able to:
  • Take input from the user and perform operations on it
  • Explain Numbers
  • Explain Strings, Tuples, Lists, Dictionaries, and Sets
  • Python files I/O Functions
  • Numbers
  • Strings and related operations
  • Tuples and related operations
  • Lists and related operations
  • Dictionaries and related operations
  • Sets and related operations
Hands On/Demo:
  • Tuple - properties, related operations, compared with list
  • List - properties, related operations
  • Dictionary - properties, related operations
  • Set - properties, related operations

Goal: In this Module, you will learn how to create generic python scripts, how to address errors/exceptions in code and finally how to extract/filter content using regex.
Objectives: At the end of this Module, you should be able to:
  • Create and execute functions
  • Learn Object Oriented Concepts
  • Understand Python Standard Libraries
  • Define Modules
  • Handle the exceptions
  • Functions
  • Function Parameters
  • Global variables
  • Variable scope and Returning Values
  • Lambda Functions
  • Object Oriented Concepts
  • Standard Libraries
  • Modules Used in Python
  • The Import statements
  • Module search path
  • Package installation ways
  • Errors and Exception Handling
  • Handling multiple exceptions
Hands On/Demo:
  • Functions - syntax, arguments, keyword arguments, return values
  • Lambda - features, syntax, options, compared with the functions
  • Sorting - sequences, dictionaries, limitations of sorting
  • Errors and exceptions - types of issues, remediation
  • Packages and module - modules, import options, sys path

Goal: This Module helps you get familiar with basics of statistics, different types of measures and probability distributions, and the supporting libraries in Python that assist in these operations.
Objectives: At the end of this Module, you should be able to:
  • Create arrays using NumPy
  • Perform various operations on arrays and manipulate them
  • Read & write data from text/CSV files into arrays and vice-versa
  • Create Series and DataFrames in Pandas
  • Indexing and slicing of data structures in pandas
  • Reading and Writing data from Excel/CSV formats into Pandas
  • NumPy - arrays
  • Operations on arrays
  • Indexing slicing and iterating
  • Reading and writing arrays on files
  • Pandas - data structures & index operations
  • Reading and Writing data from Excel/CSV formats into Pandas
Hands On/Demo:
  • NumPy library- Installation, Creating NumPy array, operations performed on NumPy array
  • Pandas library- Installation, creating series and dataframes, Importing and exporting data

Goal: In this Module, you will learn in detail about data visualization
Objectives: At the end of this Module, you should be able to:
  • Create simple plots in matplotlib
  • Learn different plot formats available in matplotlib
  • Choose the right plot format for a problem at hand judiciously
  • Scale and add style to your plots
  • matplotlib library
  • Grids, axes, plots
  • Markers, colours, fonts and styling
  • Types of plots - bar graphs, pie charts, histograms
  • Contour plots
Hands On/Demo:
  • Matplotlib - Installation, Using Scatterplot, histogram,bar graph, pie chart to show information, Styling of Plot

Goal: Through this Module, you will understand in detail about Data Manipulation
Objectives: At the end of this Module, you should be able to:
  • Data preparation
  • Merging, concatenation, combining, pivoting & removal
  • Data transformation - Merging, Joining & Concatenation
  • Gather insights from a Dataset
  • Basic Functionalities of a data object
  • Merging of Data objects
  • Concatenation of data objects
  • Types of Joins on data objects
  • Exploring a Dataset
  • Analyzing a dataset
Hands On/Demo:
  • Pandas Function- Ndim(), axes(), values(), head(), tail(), sum(), std(), iteritems(), iterrows(), itertuples(), GroupBy operations, Aggregation, Concatenation, Merging and joining

Goal: Throughout this Module, you will be designing Python Applications
Objectives: At the end of this Module, you should be able to:
  • Develop a Web map using Folium and Pandas Library
  • Represent information from dataset using Plots
  • Use of Folium Library
  • Use of Pandas Library
  • Flow chart of Web Map application
  • Developing Web Map using Folium and Pandas
  • Reading information from Dataset and represent it using Plots

Goal: Throughout this Module, you will be designing Python Applications
Objectives: At the end of this Module, you should be able to:
  • Perform Data Visualization on the browser using Bokeh
  • Perform Web Scraping
  • Perform Motion Detection using OpenCV
  • Beautiful Soup Library
  • Requests Library
  • Scrap all hyperlinks from a webpage, using Beautiful Soup & Requests
  • Plotting charts using Bokeh
  • Plotting scatterplots using Bokeh
  • Image Editing using OpenCV
  • Face detection using OpenCV
  • Motion Detection and Capturing Video

This Python Programming Certification Course will cover both basic and advance concepts of Python like writing python scripts, sequence and file operations, object-oriented concepts & web scraping. On this journey, you will go through some of the important and widely used Python libraries like pandas, numpy, matplotlib, etc. 

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. As of today, it is the most preferred language for Artificial Intelligence, Robotics, Web Development and DevOps. 

After completing this course, you will be able to:
  • Write python scripts, unit test code
  • Programmatically download and analyse data
  • Learn techniques to deal with different types of data – ordinal, categorical, encoding
  • Learn data visualization
  • Using IPython notebooks, master the art of presenting step by step data analysis

The Python Programming Certification Course is a good fit for the below professionals:
  • Programmers, Developers, Technical Leads, Architects, Freshers
  • Data Scientists, Data Analysts
  • Statisticians and Analysts
  • Business Analysts
  • Project Managers
  • Business Intelligence Managers

There are no hard pre-requisites. However, basic understanding of Computer Programming terminologies is beneficial.

You don’t have to worry about the System Requirements as you will be doing your practical on a Cloud LAB environment. This environment already contains all the necessary software that will be required to execute your practicals. 

You will do your Assignments/Case Studies using Jupyter Notebook that is already installed on your Cloud LAB environment whose access details will be available on your LMS. You will be accessing your Cloud LAB environment from a browser. For any doubt, the 24*7 support team will promptly assist you.

Case Study 1: 
Domain: Telecom
Statement: LifeTel Telecom is the latest entrant in the highly competitive Telecom market of Singapore.  It issues SIM to the verified users.  Till now verification was manual through the photocopy of the approved id card document. However, the government has recently introduced Social ID called Reference ID which is mapped to fingerprint of the user.
LifeTel should now verify user against the fingerprint and Reference ID
Case Study 2: 
Domain: Marketing
Statement: Bank of Portugal runs a marketing campaign to offer loans to clients.  Loan is offered to only clients with particular professions. 
List of successful campaigns (with client data) is given in attached dataset. 
You have to come up with a program which reads the file and builds a set of unique profession list and given, input profession of client – system tells whether the client is eligible to be approached for marketing campaign.
Case Study 3: 
Domain: E-Commerce
Statement: GoodsKart—largest e-commerce company in Indonesia with revenue of $2B+ acquired another ecommerce company FairDeal.  FairDeal has its own IT system to maintain records of customer, sales etc.
For ease of maintenance and cost savings GoodsKart is integrating customer databases of both the organizations, hence customer data of FairDeal has to be converted in GoodsKart Customer Format.
Case Study 4: 
Domain: Education
Statement: You are a data analyst with University of California, USA
University has data of Math, Physics and Data Structure score of sophomore students. This data is stored in different files. 
University has hired a data science company to do analysis of scores and find if there is any correlation of score with age, ethnicity etc. Before the data is given to the company you have to do data wrangling.
Case Study 5: 
Domain: Retail
Statement: BigMart is one of the biggest retailer in Europe and has operations across multiple countries. 
You are a data analyst in IT team of BigMart. Invoice and SKU wise Sales Data for Year 2011 is shared with you. You need to be prepared meaningful charts to show case the various sales trends for 2011 to top management. 
Case Study 6: 
Domain: Human Resource
Statement: SFO Public Department - referred to as SFO has captured all the salary data of its employees from year 2011-2014.  Now we are in year 2015 and the organization is facing some financial crisis. As a first step HR wants to rationalize employee cost to save payroll budget.
You have to do data manipulation and analysis on the salary data to answer specific questions for cost savings.
Case Study 7: 
Domain: Government
Statement: You are a data analyst in SanFrancisco(SFO) City IT Department.  SFO Police has shared crime data for year 2016.  Data contains various incidents which have happened throughout the year, along with the geolocation of the crime.
You need to prepare effective webmaps to analyze and present the data.  SFO Commissioner of Police will reassign the forces based on the density of various crime.

You will never miss a lecture at ProICT! You can choose either of the two options:
  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch.