Are you ready to start your data science career? If you’re looking for an entry point into the data science world, you should consider learning Python.
Python is a popular programming language that organizations in various fields use. Data scientists use Python to create scripts that perform data analysis, creating algorithms that combine data to reveal patterns and predict the future.
If you’re interested in learning further about Python, check out these resources. You can learn the basics of programming, find a community of like-minded people, and explore data science courses on YouTube.
Is Python Good for Data Science?
Python has an array of valuable features that make it a great tool of application in data science. The perks of Python include:
- Simplicity of access; helps to achieve results easily
- Program can be read easily due to elegant syntax
- Community support is extensive, and a large standard library is available
- Highly expressive language that offers programmable interfaces
- Code is compatible with all operating systems, including Mac OS X, Windows, Linux, and UNIX
- Code testing is easy due to its interactive nature
- New modules from C and C++ can also be integrated for extension
What Is the Future of Python for Data Science?
Since 2018, a steady increase in the usage of Python has led to a user percentage of >150%. This study marks the demand for the language, primarily attributed to the tools and the functioning framework it offers.
Python is also a platform that supports the growth of machine learning and analytics at present. Both these core concepts make up an integral chunk of data science. The open-source format of Python is another significant reason for its success in this domain.
Python’s scalability keeps the doors wide open for future augmentation. Its rapid application techniques ensure that it solves problems quicker than any other programming language with similar functioning.
What Are the Prerequisites for Learning Python Data Science?
When you wish to begin learning any programming language, it is essential to have prior knowledge regarding the basics of the language, the job opportunities it can provide, the different variants, and so on.
Similarly, the prerequisites concerning Python are listed below.
Types of Web Development
Web development is broadly divided into two categories – front-end and back-end. Python is a programming language whose use is required behind the scenes – in the back-end category. Other back-end programming languages include PHP, Java, C, and Ruby, to name a few.
Job Opportunities
The primary job that most professionals with a Python certification opt for is a Python developer. However, if developing is not your cup of tea, you still have several options at your disposal. You can become a product manager, analyst, or data scientist.
Python Version
There are two major sub-categories under Python — the Python 2 and Python 3 variants. Python 2 is the programming language that all long-standing websites are using. Python 3 is the newer version, with most new websites using Python 3.
You can learn both types to have a better hold over the overall language. However, it is recommended that you devote more attention to Python 3, as it will hold significantly greater prominence in the years to come.
General Basics of All Programming Languages
Most programming languages use a common framework to function. Tools such as loops and operators are common across all programming languages such as C, C++, and Python. Therefore, you can gather basic details about these factors to get a better understanding.
What Can Python Be Used for Besides Data Science?
The applications of Python are not limited solely to the domain of data science. The other fields in which Python has established its merit are mentioned below.
- Artificial Intelligence and Machine Learning
- Web Scraping
- Game Development
- CAD
- Web Development
- Fintech
Apart from these uses, we highly recommend learning Python if you have plans to set up a startup. Startups will benefit highly from Python knowledge owing to the factor of scalability.
Is Python Good for Data Analysis?
Business analytics and big data are indeed the future! This predictive analysis format has helped users in innumerable ways. Predicting future trends, protecting businesses from failure, customizing business solutions per customer requirements – the list goes on!
This industry created a massive turnover of $260 at the end of 2020. Its user percentage is also steadily increasing. The colossal libraries of Python make it a fitting choice for data analysis. Its ease of use and object-centered approach are other factors that make it stand out.
Pandas and Numerical Python are two of Python’s most important libraries that aid in data modeling and processing. The arrangement of big data is a breeze with these libraries. Similarly, Seaborn and Matplotlib are the libraries that simplify data visualization.
Where Can I Learn Python for Data Science?
A plethora of online courses and certifications are available that you can take up while embarking on your data science journey, accompanied by Python.
Since this programming language holds the fifth position in the global rating of programming languages worldwide, there is no shortage of opportunities for you to tap into the realm of Python.
Leading educational platforms such as Coursera, Udemy, edX, and other renowned universities offer varying levels of Python courses ranging from beginners to advanced. You can enroll in both paid and free courses based on your requirement.
One common misconception that most learners possess is that one requires a Computer Science degree to learn Python. This notion is not true, as you can learn Python if you have basic knowledge regarding coding and concentrate on real-life projects.
Data Science With Python
We have curated the compilation of the most popular Python for data science certifications in the industry. All of them hold a high reputation and value and can help you improve your industry opportunities.
Intellipaat’s Data Science With Python Course Certification
The Python course offered by Intellipaat helps you upskill yourself through a blended mode of learning. Instructors guide you throughout this entire course, which is around 40 hours.
If you wish to opt for a self-paced program, it is available for 24 hours. All vital concepts such as data cleaning, visualization, and analytics are covered in this course. You will receive lifetime support and community access after the completion of the course as well.
The expertise of industry experts will also aid you in enriching your project development skills and work on real-time opportunities and theoretical learning.
How Long Is Intellipaat’s Data Science With Python Course Certification Valid?
This course is valid for a lifetime, and there is no expiry. You will receive the course completion certificate from the Intellipaat Academy.
Who Is This Course For?
The following candidates can pursue this course:
- Software Developers
- Big Data Professionals
- Analytical Managers
- ETL Professionals
What Are the Different Modes of Training That Intellipaat Provides?
The Intellipaat’s Data Science With Python Course will provide you with enrichment in multiple niches that include the following:
- Efficiency in machine learning
- Knowledge in statistics and analytics for modeling and probability calculation
- Development of Python for data science-related platforms
- Logistic regression
- Association rule mining
- Data visualization
- Real-world applications and projects for data science
What Are the Admission Criteria?
This course does not require any rigid educational qualifications for admission. Interest in Python and data science and associated fields are sufficient. Similarly, work experience is not required either for this course.
Both experienced professionals, as well as beginners, can enroll in this course and reap maximum benefits.
For the qualification of this course, you should score a minimum of 60% in the final examination to be eligible for the course completion certificate.
What Jobs Will This Program Prepare Me For?
The projects and real-life applications of this course will help you receive placements in top MNCs. Several users who completed this certificate have stated that this course helped them get promoted in their current organizations.
According to reviews, beginners who opted for this course could kick start their career in data science with flying colors and make massive shifts in their career trajectory. They bagged exceptional entry-level jobs with lucrative salary packages as well.
You will taste success as a data analyst, machine learning expert, statistical advisor, financial consultant, business analyst, and in many more top-end professions.
Wrapping Up
Python is an integral programming language that is associated with data science. The scope for this language and the window of opportunities it presents professionals in this field are indeed vast.
Since it is used extensively across different fields, this programming language will never face a shortage of requirements spanning artificial intelligence and machine learning, data analysis and visualization, and many more niches.
A Python data science course certification will help you gain all the industry-level skills and proficiency that will aid you in creating a revolution in the world of data science. You can enroll in the Intellipaat’s Data Science With Python Course Certification for first-grade merit.
