Programming with Python for Data Sciences

Become a software programmer by learning one of the most popular and trending programming language. Use Python programming to solve real-life problems. Walk into the world of data sciences with Python.

  • 48 Hours of Live Session
  • 10 Hours of Case Study Project
  • Learn Python core language such as syntax, basic types, and common modules
  • Learn the advanced concepts of Python such as OOPs and Regular Expressions
  • Get the bigger picture of software development with Introduction to Using Databases with Python
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About Programming with Python for Data Sciences

Python is a powerful general purpose object-oriented programming language. It is an open source scripting language. It has been the most preferred languages among start-ups because of its open source capability and it is used to build productivity tools, games and desktop apps. Python supports Big Data.

Developed in the early nineties, Python is an experiment on how much liberty programmers need while coding an application. It was developed for easy reading, learning and maintaining objectives. It has few keywords with well-defined syntax. It is built to be compatible on operating systems such as UNIX, Windows and Macintosh. Python has the magic to connect existing components of a language. It is embeddable in applications that have been developed from other languages and it is also possible to add new modules while coding in python.

Python reduces the cost of program maintenance and development time since it can skip many tasks as compared to other languages and also provides faster feedback. It is well known for program reusability by implementing modules and packages. The standard python library is well built and covers large set of modules. It can easily share functionality between programs by breaking programs into modules and reusing the modules as components for other program development.

The classroom sessions for the program is through Training.com, an NIIT initiative, where training programs are conducted through live online expert instructor-led interactive classroom sessions and the practical hands-on sessions with tech mentors will be at select NIIT centers. Please note that this program is applicable only within India.

Course Objectives
  • Be able to write Python scripts
  • Master Python's Object-oriented Features
  • Use Databases with Python
  • Execute JSON parsing and Web Scrapping
  • Get the insights to Data Analysis & Visualization

Curriculum
Module 1
Introduction to Python
  • Introduction to Scripting Language, Interactive Mode, Scripting Mode, Print, Input, Basic data types, Numbers, Strings, Using the IDE of Idle etc.
  • Paid vs Organic
  • Constructs, Conditional, Iterative ( for/while ) , Break, Continue, Else, Range
  • Practical Hands on exercises
Module 2
Python types
  • Tuples, Sets, Lists, Boolean, None
  • Comprehension, Dictionaries
  • Practical Hands on exercises
Module 3
Modular Programming
  • Functions, Return values, Predefined Functions
  • Python Modules - Existing and Creating New Modules
  • Practical Hands on exercises
Module 4
Files & Lambda Files
  • Named/Unnamed Parameters, Lambda
  • Practical Hands on exercises
Module 5
Project Overview and Guideline
  • Project Overview, Project specifications and Project timeliness
  • Project Guidelines
Module 6
OOPs
  • Classes, Operator Overloading
  • Inheritance, Data Hiding
  • Practical Hands on exercises
Module 7
OOPs and Exception Handling
  • Practical Hands on exercises
  • Advanced features of Classes, Iterable / Indexable Classes
  • Exception Handling, Creating exceptions
Module 8
Regular Expressions
  • Regular expressions
  • Advanced Regular Expressions and applications
  • Practical Hands on exercises
Module 9
Introduction to Using Databases
  • Using MySQL
  • Using SQLITE3 database with Python
  • Practical Hands-On Exercises
Module 10
JSON Parsing & Web Scraping
  • Installing modules, pip, JSON parsing
  • Web Scraping Techniques
  • Practical Hands-On Exercises
Module 11
Data Analysis & Visualization
  • Introduction to Data Analysis & Visualization
  • Using Spreadsheets and Creating Graphs
  • Practical Hands-On Exercises
Module 12
Project Submission
  • Practical Hands-On Exercises
Instructor

Instructors are handpicked from a selected group of industry experts and mentors and trained to deliver the best online learning experience. All training.com instructors have atleast ten years of industry experience and extensive functional expertise in the field they train.

Certification

There will be 2 module tests in this course - one at the end of week 5 and other at the end of week 11 of the course. Minimum passing criteria is 70% for the module tests. Two attempts will be given to the learners for the module tests to achieve the minimum passing criteria.

Learners will implement a project based on the course learning throughout the course starting from week 5 of the course. Minimum passing criteria is 60% for the course project. Course project submission should be made within 3 months (90 days) of the last session of the course batch.

Learners will receive a certificate of successful completion from NIIT after they achieve the minimum passing criteria in the module tests and the course project. Learners will receive a participation certificate from NIIT if they do not achieve the minimum passing criteria in the module tests and the course project.

Pre-requisites

Learners should have complete programming knowledge in any one software programming language like C, C++, Java, etc. and this is a mandatory requirement for taking this course.

FAQs

Who Should  join this course?

The learners for the course can be school students, college students, graduates, post-graduates, working professionals or senior working professionals. Knowing a programming language like C, C++, Java, etc. is a pre-requisite for this program.

What happens if I miss a session?

If learners miss the online instructor-led classroom sessions, video recordings of the all completed sessions will be made available within 12 hours of completion of the session in the Learning Plan Section of the Student Dashboard in the Student Account on training.com portal.

If the learners miss a practical hands-on session, they should contact their center and complete their session before the next scheduled online instructor-led classroom session.

What is the Case Study based Project which I need to develop as part of this program?

Develop a SEO tool to analyse live web pages

Search Engine Optimization (SEO) is an important aspect of a web page to gain importance for a search engine to be able to display it earlier in the search list. The optimization is based on a lot of factors such as title, description, header tags and keyword density. Different search engines will have their own mechanisms that calculate the score of a keyword on the page and thus work out its ranking in the search order.

The course project is to develop a generic SEO toolset which will help a web developer analyse live web pages for keywords and other components of the page which contribute to SEO. We should be able to provide the keywords of interest and understand its density pattern across the various components of the HTML page. The web page analysis should be developed to be done in a batch mode where we can analyse hundreds of web pages and the results should be saved as reports in spread sheets with graph presentations where necessary. The project would not only give exposure to a real life problem solving using Python, but would also make learners understand about Internet and Search Engines and how they relate to each other.

Do you provide any study materials?

Relevant reference material in the form of eBooks and Web Links will be available in the Resource Section of the Student Dashboard in the Student Account on training.com portal.

What is your refund policy?

Upon registering for the course, if for some reason you are unable or unwilling to participate in the course further, you can apply for a refund. You can initiate the refund any time before start of the second session of the course by contacting your NIIT Center.

What are the minimum system requirements to attend the program?

    Minimum System Requirements for practical hands-on training classes are:

  • Operating System - Windows 7 or above
  • Software - Download and Install Python from https://www.python.org
  • Database functionality - Available built-in Database during Python Installation

      • Minimum system requirements for accessing the courses are:

      • Personal computer or Laptop with web camera
      • Headphone with Mic
      • Broadband connection with minimum bandwidth of 1 Mbps .However, recommend is 2 Mbps.
      • A self-diagnostic test to meet necessary requirements to be done is available at

        https://na1cps.adobeconnect.com/common/help/en/support/meeting_test.htm

        Please note that webcam, mike and internet speed cannot be verified through this link.

Is there an official support desk for technical guidance during the training program?

Yes. For immediate technical support during the live online classroom sessions, you can call 91-9717992809 or 0124-4917203 between 9:00 AM and 8:00 PM IST. You can write to support@training.com for all other queries and our team will be happy to help you.

Course Features

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