Python was initially brought about by Van Rossum as a leisure activity language in December 1989. Likewise, the major and in reverse inconsistent adaptation of the broadly useful programming language was discharged on third December 2008. Python is as of late evaluated by various surveyors as the most mainstream coding language of 2015. The huge fame demonstrates Python's adequacy as a current programming language. In the meantime, Python 3 is as of now utilized by engineers over the universes for making several of desktop GUI, web and versatile applications.

Why learn Python?
Python is no longer a tough term, people started to understand it these days. It is a flexible, powerful and a premier open source language used these days. Its use has been increased because it is easy to understand and use. Its powerful libraries have made it easy to analyze and manipulate data. It is being used in various fields like signal processing, finance, physics and data, since a very long time. This course will train to use Python efficiently. You will learn to write scripts, its different sequences. Concepts of Map Reduce, Python UDF for Pig and Hive, Machine learning in python, Hadoop Streaming, Web Scraping and file operations in python will be taught. Understanding of pvdoop, numpy scipy, pandas etc will be provided.

What is the objective of this course?
After this training you will become efficient in:
  • All basic and core concepts of Python
  • All advanced concepts of Python
  • Knowledge of Python Editors
  • Knowledge of Python Scripts on UNIX/Windows
  • Knowledge of Python Scripts on IDEs
  • All the basic and advanced concepts of file operations and sequences
  • Coding a HIVE UDF in Pydoop, Python and/or MRjob Basics
  • All the advanced concepts of Web scraping in Python
  • Real life projects on Python for big data analysis
  • • Learning and becoming efficient in machine learning using Python and gain expertise in building a Real Life application of Machine Learning
  • Understand the supervised and unsupervised learning and concepts of Scikit-Learn
  • Learning the use of PIG UDF in Python
  • Understand MapReduce in Hadoop concepts
  • Efficiency in writing Complex and tough MapReduce programs
  • Understanding the concept of PIG and HIVE,
  • Understanding the concept of Streaming feature in Hadoop
  • Understanding MapReduce job running in association with Python
  • Learning Use of function in Python
  • Learning use of Lambda function and different sorting elements

Who needs to do this course?
If you are eager to make an amazing career in Big Data analytics, this course is for you. Professionals who must go for this course are:
  • Software Professionals
  • Programmers and developers eager to learn python
  • ETL developers
  • Analytics Professionals
  • Testing Professionals and
  • Project Managers,

What are the Pre-requisites of this course?
Python is one of the most used languages. Anyone can learn Python but if you possess good programming skills, it will be beneficial for you. Candidates with good knowledge of concepts of flow control, variables and functions will understand the language faster. If you understand the concept of OOPS, it will surely be beneficial for you.

Module 1: Getting Started with Python

  • Understanding Machine Learning and Python
  • Why everyone wants to learn Machine Learning and who uses it
  • How it is useful and general purpose of python
  • Advantage & characteristics
  • Is python a programming language or scripting language

Module 2: Learn Installation of Python, Environment Variables, File Operations and Sequences

  • Installation
  • Learn how to write to the screen using Python, command line parameters, strings, string formatting and Flow Control
  • How to Run a Python Script on UNIX/WINDOWS
  • Learn important Python Environment Variables (PYTHONPATH, PYTHONSTARTUP, PYTHONCASEOK & PYTHONHOME)
  • Interactive Interpreter, Script from the command-line, and Integrated Development Environment
  • What is IDEs and Editors
  • What are the types of Sequences in Python and its Functions
  • Learning the use of Enumerated(), Keywords and Operators for Sequences
  • Dive into Lists, Tuples, Indexing and Slicing
  • Learn all the basic I/O functions available in File Operation

Module 3: In-depth study of Class, Functions, Errors and Exception Handling

  • Intro to Machine Learning
  • Defining classes
  • Class Methods & Instance Methods
  • Class vs. static methods
  • What are Exceptions and Exception handling
  • What are functions, function parameters and understanding how to use and create functions
  • Lambda Function
  • Errors and error handling techniques
  • How to handle multiple exceptions
  • What is “Standard Exception Hierarchy

Module 4: Learn the concepts of OOP (Object Oriented Programming), Regular Expressions, Sorting & DBAPI

  • What is Object oriented programming (OOP) and its basics
  • Directories and Filenames in Python
  • The use of standard libraries and regular expressions
  • Sorting Features
  • Learn how to sort a list, object and tuple in Python
  • Python DB API
  • How you read STD IO in Python
  • Python Advance : Intro to the “Sys Module” – Constants, Functions and methods of the Python interpreter
  • Travel across a File & Directory Tree
  • Learning Mathematical Functions, Date & Time and Random Numbers
  • Create .zip

Module 5: What is Python Debugger and Python Databases

  • Intro – how to debug
  • Important tips on Debugging – A Powerful Tool
  • Understanding of “Python pdb”
  • Learn about Interactive Debugger Basic Commands
  • Intro to command LIST, NEXT, STEP & CONTINUE
  • Way to Invoke pdb
  • Example on Debugging Session with pdb
  • Alternative Implementations to pdb : Pdb++ & Ipdb
  • Understanding the Database Programming with Python

Module 6: Open Source Machine Learning Library : Scikit-Learn

  • History of Scikit-learn
  • What is Scikit-learn
  • NumPy
  • SciPy
  • Matplotlib
  • IPython
  • Sympy
  • Pandas
  • What are the Features of Scikit-learn
  • Popular groups of models Scikit-learn includes : Clustering, Cross Validation, Datasets, Dimensionality Reduction, Ensemble methods, Feature extraction, Feature selection, Parameter Tuning, Manifold Learning, and Supervised Models

Module 7: Understanding the term “Hadoop” & “Hadoop with Python”

  • Brief Intro to Hadoop
  • Spark and PySpark
  • HBase and Python Clients
  • HDFS
  • Pig with Python UDFs
  • SHIVE with Python UDFs
  • MapReduce with MRjob
  • MRjob and Pydoop basics
  • Hadoop Ecosystem : High level languages – Pig & Hive ; HDFS Data systems – Hbase & Accumulo ; Execution Engines – Storm & Spark ; ZooKeeper, Flume, Avro & Kafka

Module 8: Machine Learning Using Python – A

  • Why prefer Python for Machine Learning
  • What packages used for scientific computing
  • Find the areas of implementation for Machine Learning
  • How to do the basic plotting with the use of Matplotlib
  • Learning Algorithms

Module 9: Machine Learning Using Python – B

  • Pandas and its features
  • Classifying with k-Nearest Neighbors (kNN) Algorithm and Building the Classifier from Scratch
  • What is the general approach to kNN
  • Testing the Classifier
  • Learn how to evaluate the performance of the classifier
  • Clustering and Classification Problem
  • What is K-Means Clustering and how to do clustering with k-Means in Python with example
  • Introduction to Creating Data Frames, Plotting Data, Grouping, Sorting
  • How to Create Functions
  • Learn converting different formats
  • How to combine data from various formats
  • What is Slicing & Dicing Operations
  • Supervised vs. Unsupervised Learning

Module 10: Intro to Web Scraping in Python

  • What is Web Scrapping
  • Requisite libraries for web scrapping : Urllib2 & BeautifulSoup
  • Mechanize
  • Scrapemark
  • Scrapy

What is Python?

Python is an open source powerful programming language has all the abilities of data manipulation and used for predictive analysis. It is one of the most used and leading language, which has been using worldwide. First appeared in 1991, since then python has been high level programming language. It supports multiple programming models and has dynamic system with default memory management system & standard library.

What are the pre-requisites for this course?

Attendees need to have basis understanding to programming concept.

Who can go for this course?

Live webinar class are live virtual class led by expert of particular domain. It is just like class room training. You will be connected through virtual classroom and can clear all your doubts with our Instructor. You can communicate the instructor by using Audio, Video and Chat options.

What is live Webinar Classes?

Live webinar class are live virtual class led by expert of particular domain. It is just like class room training. You will be connected through virtual classroom and can clear all your doubts with our Instructor. You can communicate the instructor by using Audio, Video and Chat options.

In case of my absence how can I manage my class?

So you don’t need to worry if you miss your classes. You are responsibility of TechandMate to educate you on the technology you have enrolled. We will generate your learning account (LMS- Learning Management System). In case of missing the class, you will get all the recordings, presentation in your LMS and you can access the same in your leisure time.

Can I access my course module prior to join the class?

No you cannot access course module before enrolment.

Who are the Instructors / Experts / SME?

All our Instructors are experienced and working professional from IT Industry. They have rich experience on the technologies they are leading. Instructors are specially trained by our Learning & Development department to educate and become frontrunner for Live Virtual classes.

Can I see demo or sample class before registering the course?

Yes you can view the demo of class of your course. You can evaluate the teaching style of our SMEs and can further enroll for the course.

Will I get the Software?

Yes we will help you to install the software. We will provide you the link & necessary documents to download the same if it is an open source or demo version available.

Difference between Self Driven and Expert Driven learning?

Our course and training progression is vastly interactive. In self-driven learning you will get the access of your LMS with all the modules and learning material available including recording of classes so that you can access it in your leisure time to learn. Expert driven learning would be live streaming webinar and our expert will clear all your doubts instantly. Self-Driven learning is almost 50% cheaper than Expert driven program. You can switch from SDL to EDL any time by paying the difference amount.

How can I access my learning tools?

Once you will enroll yourself for the course training, we will generate a LMS (Learning Management System) for you. All the course modules, learning tools will be available there.

How long I can access my learning tools?

Once you will enroll for the course you can access your learning tools for life time.

Tell me about my payment options?

You can choose any payment option as per your convenience like Credit Card, Debit Card, Net banking. For USD payment, it will be made by PayPal.

Can I convert my amount into EMI's?

Yes you can convert your amount into EMI's.

What is the process to get the Certification of the course?

After accomplishment of all the modules, you will undergo a Project assessment. After successful submission, our official will review the same & you will be awarded with TechandMate verified Certification for the course.

Will I be working on Project?

Yes you will be working on live project.

What if I have more queries or concerns?

Our technical & Support team is always for your help and available 24x7 for you.

TechandMate certification process

At the end of your course, you will work on a real time Project. You will receive a Problem Statement along with a dataset to work.

Once you are successfully through with the project (reviewed by an expert), you will be awarded a certificate with a performance based grading.

If your project is not approved in 1st attempt, you can take additional assistance to understand the concepts better and reattempt the Project free of cost.

Shubham Bardhan
Shubham Bardhan

After wonderful experience with T&M I can truly say this is the best place to learn technologies. Amazing faculties, great technology and vision to educate people. Getting PPTs, Recordings, Lab Assignment has done it all for me. Cheers for TechandMate

Aslam Ansari
Aslam Ansari

T&M folks it was great involvement to experience your training sessions. Doing assignment on real time scenarios added quality in my learning. You are best in the industry.

Ravi Sharma
Ravi Sharma

Came to know about the practical aspect of work, the environment is like any good start up. The benefits may not be much but if you are looking for the skill set development then this place might be for you. Instructors having good amount of experience in their domain, gives the real time examples and teaches how to apply the same in your work. Learning on latest trends with the help of best technology available in the industry. Certainly TechandMate has made it Easy for me.

Jasmine Kaur
Jasmine Kaur

I thought the context was very well organized and well delivered. The overall structure in initial presentation was carried forward in more detailed discussion which made relating all the aspects of BI easier. Sufficient examples and discussions were provided.

Rakesh Chauhan
Rakesh Chauhan

I was in dilemma when I was forecasting to learn Hadoop online. I had real misgivings to learn this way. Learning through live virtual classes and attending the class for consecutive hours looks odd. But it was other way around; I was quite keen and waiting for next weekend to learn more. Instructor paced the course quiet well and never felt bored at all.