Python is considered incomplete without Data Science and its training. Both are complementary to each other as Python without Data Science looks bland. Data Science, when merged with Python brings a chance for improved and advanced Python concepts to take shape. Both the courses combined can be used in studies over a broad aspect of Machine Learning, Data Analysis, Web Scraping, Data Visualization, and also NLP.
Contents
Key Features of the Course-
1. Scope to get through the extensive course thoroughly.
2. Chance to perform in various projects that are based on the industry.
3. Interactive and interesting classes with a practice-on learning method.
4. A lifetime access to various self-learning tips and techniques.
5. Regularly and routinely based mentoring sessions.
Scope-
The use of Data Science in the web market and enterprises has been on a rise for the last few years and in a study, it has been seen, nearly 47% of these sectors use Python Programming for their applications. The demand for data Science will increase even more in the upcoming years as the competition rises, and with the help of Python, the course would be considered supreme and unbeatable.
Pre-Requisites-
There are no specific prerequisites required for the course. No past experience is required, hence people from all sectors are welcomed in this course. The only beneficial pre-requisite will be having a basic background in both languages.
To have a clear understanding of the Python Data Science language course, it is better to start off with an Introduction to Python Data Science along with Refreshing Math, how to apply Data Science in daily life, and the Statistics that are required for Data Science. All these courses are available free of cost along with this training.
Certification-
After one completes the Data Science with Python training course, he/she is given out the certification of completion by the respective industry. This certificate is accepted globally and has validity for a lifetime.
Use of Data Science in Daily Life-
Data Science is not restricted only to web marketing. It has significant importance in real life as well. Data Science is used to note down the trending graphs, analyze them, see through their algorithms and etch out plans and procedures to ensure maximum profit. It combines an algorithmic approach to programs to come up with easy solutions. Along with these, with the addition of Python, the job becomes easier, with its programming tools.
Conclusion-
Python, owing to its complex yet high-level programming language, is used by most IT companies and other enterprises. It is very flexible and thus, can be modified into any shape and finds a solution to any problem that is related to application development. Like React JS, it also provides a library portal that enhances its quality once it is combined with Data Science.
Thus, when Data Science is combined with Python, it is considered as one of the best choices in the programming and analyzing fields. They can arrange, visualize, manipulate and chalk out data in the smoothest manner with maximum efficiency.
