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Enroll in this Python certification course in Bhubaneshwar and gain some of the most sought-after skills in Python. Learn to work with packages such as Matplotlib, SciPy, pandas, NumPy, scikit-learn, the Lambda function, and more. This Python training in Bhubaneshwar will teach you to write Python code for Hadoop and Spark. Get Python certification and gain hands-on experience by working on real-world projects.
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Course PreviewThis Python certification course in Bhubaneshwar will help you understand the high-level, general-purpose dynamic programming language of the decade. This Python training will clear both the basic and advanced concepts of Python.
Anyone with the following job profiles can enroll in this Python programming course:
You don’t need any specific knowledge to learn Python. Some basic knowledge of programming can help you.
| Criteria | C++ | Java | Python |
| Ease of Use | Verbose | Verbose | Simpler and dynamically typed |
| Scalability | Platform-depended | Cross- platform | Cross-platform |
| Deployment | Android and web application | Big Data | Data Science and Machine Learning |
| Average Salary | US$78,368 | US$87,424 | US$103,492 |
Python, a widely embraced object-oriented language, offers a swift learning curve and seamless deployment. Compatible with diverse operating systems including Windows, Linux, and Mac, Python holds significant value in the realm of data analytics. Upon finishing this Python certification training, you’ll be equipped to operate in the lucrative big data Hadoop environment, commanding high salaries.
Part of this Python training involves real-life, industry-based projects designed to provide hands-on experience. You will be actively executing these projects within an online Python lab.
| Project Name | Industry | Objective |
| Python Web Scraping for Data Science | Web development | Introduction to the process of web scraping using Python |
| Create a password generator | Internet | To generate a password using Python code which would be tough to guess |
| Impact of pre-paid plans on the preferences of investors | Finance | To find the most impacting factors in preferences of pre-paid model and to identify which all are the variables highly correlated with impacting factors |
| Machine Learning – Prediction of stock prices | Stock market | This project focuses on machine learning by creating a predictive data model to predict future stock prices |
| Server logs/Firewall logs | Security | The process of loading the server logs into the cluster using Flume. It can then be refined using Pig Script, Ambari, and HCatalog |
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Python Basic Constructs
Exception Handling
Matplotlib
OOPS in Python
Multi-threading
Python for Apache Spark
Pandas NumPy & SciPy
Web Scraping
Packages & Functions
Database Connections
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1.1 Introduction to Python Language
1.2 Features and the advantages of Python over other programming languages
1.3 Python installation – Windows, Mac and Linux distribution for Anaconda Python
1.4 Deploying Python IDE
1.5 Basic Python commands, data types, variables, keywords and more
Hands-on Exercise – Installing Python Anaconda for Windows, Linux, and Mac.
2.1 Built-in data types in Python
2.2 Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
2.3 Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
2.4 Loop and control statements while, for, if, break, else, continue.
Hands-on Exercise –
1. Write your first Python program
2. Write a Python Function (with and without parameters)
3. Use Lambda expression
4. Write a class
5. Create a member function and a variable
6. Create an object
7. Write a for loop
3.1 How to write OOP concepts program in Python
3.2 Connecting to a database
3.3 Classes and objects in Python
3.4 OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
3.5 Python functions, return types and parameters
3.6 Lambda expressions
Hands-on Exercise –
1. Creating an application that helps to check balances, deposit money, and withdraw money using the concepts of OOPs
4.1 Understanding the database, need for database
4.2 Installing MySQL on Windows
4.3 Understanding database connections using Python
Hands-on Exercise – Demo on database connection using Python and pulling the data.
5.1 Introduction to arrays and matrices
5.2 Broadcasting of array math, indexing of array
5.3 Standard deviation, conditional probability, correlation and covariance.
Hands-on Exercise –
1. How to import the NumPy module?
2. Creating an array using ND-array
3. Calculating standard deviation on an array of numbers
4. Calculating the correlation between two variables
6.1 Introduction to SciPy
6.2 Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, and SciPy with Bayes’ Theorem
Hands-on Exercise –
1. Importing of SciPy
2. Applying Bayes’ theorem to the given dataset
7.1 How to plot graphs and charts with Python?
7.2 Various aspects of line, scatter, bar, histogram, 3D, the API of Matplotlib, and subplots
Hands-on Exercise –
1. Deploying Matplotlib for creating Pie, Scatter, Line, and Histogram
8.1 Introduction to Python dataframes
8.2 Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
8.3 Various data operations like selecting, filtering, sorting, viewing, joining, combining
Hands-on Exercise –
1. Working on importing data from JSON files
2. Selecting record by a group
3. Applying filter on top, viewing records
9.1 Introduction to Exception Handling
9.2 Scenarios in Exception Handling with its execution
9.3 Arithmetic exception
9.4 RAISE of Exception
9.5 What is Random List, running a Random list on Jupyter Notebook
9.6 Value Error in Exception Handling.
Hands-on Exercise –
1. Demo on Exception Handling with an Industry-Based Use Case
10.1 Introduction to Thread, the need of threads
10.2 What are thread functions?
10.3 Performing various operations on thread like joining a thread, starting a thread, and enumeration in a thread
10.4 Creating a Multithread, finishing the multithreads.
10.5 Understanding race condition, lock, and synchronization
Hands-on Exercise –
1. Demo on Starting a Thread and a Multithread and then performing multiple operations on them
11.1 Introduction to modules in Python, the need for modules
11.2 How to import modules in Python
11.3 Locating a module, namespace, and scoping
11.4 Arithmetic operations on Modules using a function
11.5 Introduction to the search path, global and local functions, filter functions
11.6 Python packages, import in packages, various ways of accessing the packages
11.7 Decorators, pointer assignments, and Xldr
Hands-on Exercise –
1. Demo on Importing the modules and performing various operations on them using arithmetic functions
2. Importing various packages, accessing them, and then performing different operations on them
12.1 Introduction to web scraping in Python
12.2 Installing beautiful soup
12.3 Installing Python parser lxml
12.4 Various web scraping libraries, beautiful soup, scrapy Python packages
12.5 Creating soup object with input HTML
12.6 Searching of tree, full or partial parsing, output print
Hands-on Exercise –
1. Installation of beautiful soup and lxml Python parser
2. Making a soup object with input HTML file
3. Navigating using Py objects in the soup tree
Python Training in Bhubaneshwar Projects
To earn our Python certification, you must complete the entire Python training program. Additionally, you must complete all the assignments and projects given and score a minimum of 60 percent in the certification exam conducted by Intellipaat. Once you complete all of it and finish the projects with the help of the trainers, you will receive an industry-recognized Python course completion certification from us.
This is one of the top certification courses in Python, and it is designed by experts who aim to make you an expert in this programming language. Enroll in this Python online course today and take the first step toward getting an industry-recognized certification in it.
Certainly. Obtaining a Python course certification is highly valuable, given that Python is among the most widely used and in-demand programming languages today. A foundational understanding of the Python programming language is often a prerequisite for coding and development roles in many contemporary IT jobs.
Following are some of the significant steps that you should take to get certified in Python:
The distinguishing features of Intellipaat include 24-hour online support, complimentary lifelong access to course materials and updates, hands-on experience through real-world Python projects, job assistance encompassing resume creation and mock interviews, and more. Upon successful completion of the comprehensive Python program and associated projects, you will receive a course completion certificate recognized by a multitude of global organizations, aiming to certify you as a professional in Python.
Upon finishing this Python training, you will receive a Python course completion certificate from us. This certification holds lifelong validity and is acknowledged by major companies worldwide.
Upon completion of this course with us and after passing the exam, you will get the Python course completion certificate through our Learning Management System (LMS). You will be able to download and share this certificate from the LMS using LinkedIn or email.
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Intellipaat offers courses on big data hadoop, data scientist course, machine learning, artificial intelligence, Python for data science, data analyst course, business analytics certification
If you are looking for free resources on Python then read our blogs on Python tutorial, and Python interview questions.
Python is a multi-purpose language with a simple syntax that is straightforward to understand. Python is used by programmers to perform data analysis and machine learning in scalable production contexts. Python is the best choice for beginners to learn without any programming background.
R, on the other hand, is a statistical programming language that mainly relies on statistical models and specialized analytics. For advanced statistical analysis, data scientists utilize R, which is supported by only a few lines of code and stunning data visualizations. R is quite complicated for beginners to learn compared to Python programming.
Yes. At Intellipaat, we offer one practice test that is designed keeping in mind the current market demands and the syllabus of the actual examination. This practice test aims to prepare you for the same by giving you an idea of the type of questions and the format.
There are numerous job opportunities available for both entry-level and experienced professionals who have gained skills in the Python programming language after completing the course with us. Some of the job roles that you will become eligible to apply for are as follows:
Major organizations that are hiring Python developers and other professionals skilled in Python programming language are mentioned below:
Python programming is employed in the backend and stands out as one of the foremost languages for beginners to grasp and apply. It shares similarities with Ruby but demands less effort for coding. This language is highly accessible, eliminating the necessity to be acquainted with or possess skills in any other programming language before learning it..
You can enroll in this best Python course by choosing the batch that is convenient to you and making the payment for it.
You don’t have to be concerned about missing a class. In our Learning Management System (LMS), we offer recorded videos of each session, allowing learners to review them at their convenience. Our support team is also ready to help with any concerns you may have. If you happen to miss any sessions, just reach out to the support team. They will arrange additional classes and one-on-one meetings with your trainers to help you catch up.
Three technical 1:1 sessions per month will be allowed.
Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.
Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.