Upgrad python course
Do you want to be a data scientist but don’t know how to code in Python? We’ve got your back, so don’t worry. You can study Python online for free and get started with data science with our free online Python course for beginners. You don’t have to pay anything to participate in this programme. The only time commitment would be 30 minutes each day for a few weeks, and you’d know how to utilise Python for data research at the end.
What are the Benefits of Learning Python for Data Science?
Python is one of the most widely used programming languages in the world. Python was placed second in a poll by RedMonk, a famous analysis organisation, in terms of popularity among programming languages.
Python has a wide range of uses in data science. It has a number of libraries that make certain data operations easier. Pandas, for example, is a Python data analysis and manipulation package.
It has a variety of functions for manipulating large amounts of structured data.
It is considerably easier to analyse data this way. Matplotlib, a Python library for data visualisation, is another important Python tool in data science. Python is one of the most important skills for data scientists. It will surely assist you in breaking into this area if you learn it.
Why choose upGrad Python for Data Science?
Joining our Python free classes has a lot of benefits. Here are a few examples:
Mentorship in the industry on a one-to-one basis
You’ll receive one-on-one instruction from a prominent industry expert. They will lead you through the course and you will be able to ask them questions as needed.
Content that is cutting-edge
The professionally designed content on upGrad guarantees you get the greatest online learning experience possible.
Live Lectures every week
Throughout the course, you will receive unique live lectures once a week. They will assist you in removing any lingering uncertainties and streamlining your learning process.
Acquire a Free Certificate
You’ll receive a certificate of accomplishment once you’ve completed our free Python online course. Your CV would benefit much from the certificate.
Aside from these advantages, the most important one is that you may enrol in the course for free. It does not necessitate any financial investment. Let’s talk about what the course is about and what you’ll learn:
What Will You Discover?
Learning Python is a must if you want to work as a data scientist. It has a wide range of applications in this sector, and without it, you won’t be able to do many crucial data science activities. Many students and professionals are hesitant to learn Python since it is a programming language.
They consider Python’s diverse applications in data science, artificial intelligence, and machine learning are a very hard subject after reading about it. Python, on the other hand, is a simple programming language that you can pick up fast.
Our free Python online course for beginners covers the fundamentals of this popular programming language and helps you comprehend its applications in data science. Our Python course is free and lasts four weeks. It is divided into four sections:
Python Libraries EDA (Introduction to Python Programming)
These sections will help you learn Python in a step-by-step fashion. Let’s take a closer look at each of these sections:
You’ll get a step-by-step guide to start learning Python in the first module of our free Python online course. It will educate you with the foundations of Python, including what it is and how to learn it.
Apart from the fundamentals, this section will walk you through the many jargons used in data science. You’ll learn the meanings of several technical words used by data scientists, such as EDA, NLP, Deep Learning, Predictive Analytics, and so on. Understanding Python will provide you with the necessary basis to explore its more sophisticated ideas in the future.
You’ll realise how simple this subject is once you learn the meaning of data science jargon. It’s a fantastic way to overcome your apprehension about learning data science. You should be able to employ data science jargon like any other data professional at the end of this lesson.
Python as a programming language
This segment of our course will teach you the fundamentals of Python scripting, such as strings, lists, and data structures. One of the most important ideas in data science is data structures.
They aid with the organisation of data so that you can rapidly access it and execute actions on it. To become a skilled data scientist, you must first understand data structures. During technical interviews, many employers inquire about data structures and their applications.
This module focuses on data science programming with Python. As a result, it covers the fundamental notions of various data structures, including lists.
Once you’ve mastered the fundamentals, you’ll be able to apply them to more sophisticated applications with ease. Lists, for example, are one of the most adaptable data structures. They may store heterogeneous elements (items of several data types), such as text, numbers, and even other lists.
Lists are also changeable, which is a key feature that makes them a popular choice. This allows you to modify their elements even after the list has been created. Many issues like these will be covered in this module of our Python free courses.
Python is widely used by data scientists for a variety of reasons. One of the reasons for this is the vast number of libraries in the area. There are around 1,37,000 Python libraries available. This figure should give you a sense of the importance of these libraries.
These libraries make it easier for developers to conduct related tasks by simplifying particular procedures. You’ll learn about several Python libraries used by data scientists, such as NumPy, matplotlib, and Pandas, in this segment of our free online Python course for beginners.
A Python library is a collection of reusable code that makes it easier to do certain tasks. Its libraries, unlike C or C++, are not context-aware. They are assemblages of modules. You may use the functionality of a module from another programme by importing it.
NumPy, for example, allows you to easily execute mathematical operations in Python. It has a lot of high-level mathematical functions and multi-dimensional matrices and arrays are supported. Knowing how to use these libraries can aid you in completing data operations.
In the last segment of our free Python online course, you’ll learn how to use this computer language to conduct EDA. Exploratory Data Analysis (EDA) is a type of data analysis that focuses on comprehending the data so that significant insights may be derived from it.
EDA is an important part of data analysis since it allows you to uncover a lot of information in your data. Exploratory data analysis, for example, may be used to find outliers. Outliers must be detected in order to clean data.
How to Begin
To enrol in our Python online course for free, simply follow these steps:
- Go to our upStart website for more information.
- Choose the course “Python for Data Science.”
- Register by clicking the Register button.
- Fill out the registration form.
That is all there is to it. With our newly established upStart programme, you can study Python online for free and get started on your data science adventure. It would just take 30 minutes every day for a few weeks. This software requires no monetary investment.
What are the most important aspects of this course?
This course offers a variety of free extras. This free Python course from upGrad is taught by industry specialists, so you may ask them any questions you have. It is professionally developed and contains cutting-edge information to ensure that you do not receive a subpar syllabus and lag behind your peers.
Aside from that, this course offers live weekly sessions to relieve you of the stress. You will also receive an upGrad-certified course completion certificate after completing the course.
Why is Python regarded as the most suitable programming language for Data Science?
Aside from the syntax’s simplicity and ease of learning, this programming language has a number of complex libraries with numerous capabilities. Python is one of the greatest programming languages for data science because of this.
When compared to its counterparts such as R and Scala, Python has retained its position as the most versatile language in terms of scalability, speed, and dependability. It also boasts one of the most active communities, which works tirelessly to maintain it up to date and assist developers all around the world.
What role does the Python for Data Science course have in my data science interview preparation?
This course will assist you in establishing a solid foundation of key principles and will answer any questions you may have about the subject. If you know the fundamentals, you’ve already completed half of your interview preparation.
After finishing the course, you must complete all of the tasks as well as additional practise using internet resources. This level of preparation will enhance your confidence and prepare you to ace any interview.