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Become a Python Certified Professional with our Python Course in just 2 months!
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This Python Course Training will help you understand the high-level, general-purpose dynamic programming language of the decade. We have covered topics like machine learning, deep learning, Hadoop streaming, and MapReduce.
| 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 |
In this course, you can learn various concepts related to Python including OOPs, expressions, data types, looping, functions, operations, classes, Python libraries, exception handling, packages, web scraping, machine learning algorithms in Python, and many more.
No, there are no mandatory prerequisites for participating in this course. While the training covers all the essential aspects of Python, having prior experience in this field can certainly be an advantage during the course.
Python programming is used in the backend, and it is one of the top languages for beginners to learn and implement. It is very similar to Ruby. However, it requires comparatively less effort to code. This language is easily approachable, and you are not required to know or have skills in any other programming language to learn it.
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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 Projects
To earn our Python Certification, you must complete the entire Certification 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 Course completion certification from us.
Intellipaat offers 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 Intellipaat’s Python Course today and take the first step toward getting an industry-recognized certification in it
Land Your Dream Job Like Our Alumni
Intellipaat’s Python Training will give you hands-on experience mastering one of the trending programming languages, Python. In this best online Python Course, you will learn about the basics and advanced concepts, including mapreduce in Python, machine learning, Hadoop streaming, and also Python packages such as scikit and scipy. You will be awarded Intellipaat’s course completion certificate after successfully completing the training course.
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.
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:
This language also comes in handy in other domains of computer science, such as machine learning, data science, artificial intelligence, etc. So, it opens up doors to jobs across various sectors, and you will have the option to choose a role that is best-suited for you:
Intellipaat offers both live online Python Course training and self-paced courses. Live online training includes live lectures by industry experts, while self-paced courses only provide pre-recorded video lectures.
Major organizations that are hiring Python-certified developers and other professionals skilled in Python programming language are mentioned below:
You can enroll in this best course offered by Intellipaat by choosing the batch that is convenient to you and making the payment for it.
At Intellipaat, you need not worry about missing a class. In the LMS, we provide recorded videos of each session so that learners can refer to them at any time. Our support team will also be available to assist you with any such concerns. So, if you miss any sessions, simply contact the support team. They will schedule an extra class and one-on-one meetings with your trainers to let you catch up.
Three technical 1:1 sessions per month will be allowed.