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You don’t need any specific knowledge to learn Python. A basic knowledge of programming can help.
Houston is the biggest city in Texas and is one of the top technology hotspots in the entire USA. Due to the extensive versatility of Python, it is being widely deployed in the biggest city of Texas. All this is creating a huge number of job opportunities in Texas in the domain of Python language.
The Houston market for Python is rising rapidly, thanks to the need for a powerful programming language that is easy to learn and deploy and highly versatile. If you are trained and certified in Python, then you can make the best use of this growing market trend in Python language in Houston, Texas.
It is the most powerful language for writing applications cutting across Internet and web development, business applications, scientific and research computations, Machine Learning programs and so on. Intellipaat offers the complete training in Python that can be taken by professionals to master this language and land in the top jobs on offer.
Introduction to Python Language, features, the advantages of Python over other programming languages, Python installation, Windows, Mac & Linux distribution for Anaconda Python, deploying Python IDE, basic Python commands, data types, variables, keywords and more.
Hands-on Exercise – Installing Python Anaconda for the Windows, Linux and Mac.
Built-in data types in Python, tabs and spaces indentation, code comment Pound # character, variables and names, Python built-in data types, Numeric, int, float, complex, list tuple, set dict, containers, text sequence, exceptions, instances, classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug, basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise, loop and control statements, while, for, if, break, else, continue.
Hands-on Exercise – Write your first Python program Write a Python Function (with and without parameters) Use Lambda expression Write a class, create a member function and a variable, Create an object Write a for loop to print all odd numbers
How to write OOP concepts program in Python, connecting to a database, classes and objects in Python, OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation, Python functions, return types, and parameters, Lambda expressions, connecting to database and pulling the data.
Introduction to arrays and matrices, indexing of array, datatypes, broadcasting of array math, standard deviation, conditional probability, coorelation and covariance.
Hands-on Exercise – How to import NumPy module, creating aray using ND-array, calculating standard deviation on array of numbers, calculating correlation between two variables.
Introduction to SciPy and its functions, building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem.
Hands-on Exercise – Importing of SciPy, applying the Bayes theorem on the given dataset.
How to plot graph and chart with Python, various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots.
Hands-on Exercise – deploying MatPlotLib for creating Pie, Scatter, Line, Histogram.
Introduction to Python dataframes, importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe, various data operations like selecting, filtering, sorting, viewing, joining, combining, how to handle missing values, time series analysis, linear regression.
Hands-on Exercise – working on importing data from JSON files, selecting record by a group, applying filter on top, viewing records, analyzing with linear regression, and creation of time series.
What is natural language processing, working with NLP on text data, setting up the environment using Jupyter Notebook, analyzing sentence, the Scikit-Learn machine learning algorithms, bags of words model, extracting feature from text, searching a grid, model training, multiple parameters, building of a pipeline.
Hands-on Exercise – setting up the Jupyter notebook environment, loading of a dataset in Jupyter, algorithms in Scikit-Learn package for performing machine learning techniques, training a model to search a grid.
Introduction to web scraping in Python, the various web scraping libraries, beautifulsoup, Scrapy Python packages, installing of beautifulsoup, installing Python parser lxml, creating soup object with input HTML, searching of tree, full or partial parsing, output print, searching the tree.
Hands-on Exercise – Installation of Beautiful soup and lxml Python parser, making a soup object with input HTML file, navigating using Py objects in soup tree.
Introduction to Python for Hadoop, the basics of the Hadoop ecosystem, Hadoop common, the architecture of MapReduce and HDFS, deploying Python coding for MapReduce jobs on Hadoop framework.
Hands-on Exercise – How to write a MapReduce job with Python, connecting to the Hadoop framework and performing the tasks.
Introduction to Apache Spark, importance of RDD, the Spark libraries, deploying Spark code with Python, the machine learning library of Spark MLlib, deploying Spark MLlib for classification, clustering and regression.
Hands-on Exercise – How to implement Python in a sandbox, working with the HDFS file system.
Project 1 : Analyzing the Naming Pattern Using Python
Industry : General
Problem Statement : How to analyze the trends and the most popular baby names
Topics : In this Python project, you will work with the United States Social Security Administration (SSA) which has made data on the frequency of baby names from 1880 to 2016 available. The project requires analyzing the data considering different methods. You will visualize the most frequent names, determine the naming trends and come up with the most popular names for a certain year.
Highlights :
Project 2 : – Python Web Scraping for Data Science
In this project, you will be introduced to the process of web scraping using Python. It involves installation of Beautiful Soup, web scraping libraries, working on common data and page format on the web, learning the important kinds of objects, Navigable String, deploying the searching tree, navigation options, parser, search tree, searching by CSS class, list, function and keyword argument.
Project 3 : Predicting Customer Churn in Telecom Company
Industry – Telecommunications
Problem Statement – How to increase the profitability of a telecom major by reducing the churn rate
Topics :In this project, you will work with the telecom company’s customer dataset. This dataset includes subscribing telephone customer’s details. Each of the column has data on phone number, call minutes during various times of the day, the charges incurred, lifetime account duration and whether the customer has churned some services by unsubscribing it. The goal is to predict whether a customer will eventually churn or not.
Highlights :
Project 4 : Server Logs/Firewall Logs
Objective – This includes the process of loading the server logs into the cluster using Flume. It can then be refined using Pig Script, Ambari and HCatalog. You can then visualize it using elastic search and excel.
This project includes:
Python Class
This Python online course is designed for clearing the Intellipaat Python Certification Exam. The entire python course content is designed by industry professionals to get the best jobs in top MNCs. As part of this online Python course, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast track your career effortlessly.
At the end of this online Python course, there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and help you score better marks.
Intellipaat Course Completion Certification will be awarded upon the completion of the project work (after expert review) and upon scoring at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
A Senior Software Architect at NextGen Healthcare who has previously worked with IBM Corporation, Suresh Paritala has worked on Big Data, Data Science, Advanced Analytics, Internet of Things and Azure, along with AI domains like Machine Learning and Deep Learning. He has successfully implemented high-impact projects in major corporations around the world.
An experienced Blockchain Professional who has been bringing integrated Blockchain, particularly Hyperledger and Ethereum, and Big Data solutions to the cloud, David Callaghan has previously worked on Hadoop, AWS Cloud, Big Data and Pentaho projects that have had major impact on revenues of marquee brands around the world.
This Intellipaat Python training will give you hands-on experience in mastering the one of the best programming languages that is Python. In this online Python course you will learn about the basic and advanced concepts of Python including MapReduce in Python, machine learning, Hadoop streaming and also Python packages like Scikit and Scipy. You will be awarded the Intellipaat Course Completion Certificate after successfully completing the training course.
As part of this online Python course you will be working on real time Python projects that have high relevance in the corporate world, step-by-step assignments and curriculum designed by industry experts. Upon completion of the Python online course you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 Support, and course material upgrading to latest version at no extra fees. Hence it is clearly a one-time investment for a hands-on Python online course.
Jersey City, Dubai, Los Angeles, San Francisco, Singapore, Toronto, Bangalore, Chicago, Hyderabad, London, Melbourne, New York, San Jose, Sydney and Pune
Training in Cities: Bangalore, Hyderabad, Chennai, Delhi, Kolkata, UK, London, Chicago, San Francisco, Dallas, Washington, New York, Orlando, Boston
Really great course
This Python online training course is awesome. Clear explanations and good examples. Good piece of work, it helps to get deep dive into this subject in just a few days! Python certification course is great!
Good work
It was a wonderful experience and learning from Intellipaat trainers. The trainers were hands on and provided real time scenario’s. For me learning cutting edge and latest technologies intellipaat is the right place
Very informative!
Excellent videos and interactive mode of Python online teaching. Instructors are well informed and clear while communicating.
Valuable material for learning. Worth spending!!
Their courses are well structured and taught by recognized professionals. I have found the videos to be of excellent quality. Thanks
Wonderful Work
All videos are in-depth yet concise. I had no problem understanding the tough concepts. Wonderful job Intellipaat!
Best Python training
Intellipaat Python course was incredible in terms gaining knowledge for the real world industry applications. Keep up the good work Intellipaat.
I'm really happy I took it.
I tried many different ways of learning Python but what I liked the most about intellipaat python program is their sample videos and projects. The mentor guides for projects and the technical support team is available 24*7 for any query you have during the course of learning and after the completion of course as well.
Python class by industry experts
I wanted to learn Python and so I enrolled for the Intellipaat Python class. It was a great way to learn Python programming. It was as good as a live Python class.
Best course ever
This instructor-led training course is a beginner basic to advance in career. The trainer taught me all concepts from scratch. The study material really helped me to understand the subject properly. Hence, I believe this is the best course for beginners.