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Of job roles in Data Science
Average salary of a Data Scientist
There are no prerequisites to learn Python libraries for Data Science. However, it is recommended that learners have a basic understanding of mathematics, statistics, and data science.
Beginners who want to learn Python libraries can start with the fundamentals first. Once you have mastered the basics you can move on to the advanced topics.
The Python libraries free course consists of 7 hours of video content that will help you gain a thorough understanding.
The videos that you find as a part of the Python libraries for Data Science free course are created by mentors who are industry leaders with vast experience in the field. They are aware of the needs of different learners and have designed the course to be easy to learn.
Yes, you can complete this Python libraries course within 90 days.
Yes, You will receive a Course Completion Certificate from SkillUp upon completing the Python libraries for Data Science free program. You can unlock it by logging in to your SkillUp account. As soon as the certificate is unlocked, you will receive a mail with a link to your SkillUp learning dashboard on your registered mail address. Click the link to view and download your certificate. You can even add the certificate to your resume and share it on social media platforms.
After completing this free Python libraries course, you can opt for the Data Science with Python Certification course provided by Simplilearn.
Common careers after this course include:
The Python Libraries free course is all about developing the understanding of beginners on how to perform numerical computation, data analysis and data visualization using NumPy, Pandas, and Matplotlib libraries, scikit-learn for model building, Beautiful Soup for web scraping, and TensorFlow.
To handle various Data Science tasks that involve predicting outcomes, automating tasks, streamlining processes, and offering business solutions, you would need to learn Python Libraries for Data Science.
The popular Python Libraries are:
The steps to learning Python Libraries are:
You need two types of skills (technical and non-technical) to become a Data Scientist:
Non-technical skills include good business acumen, communication and data intuition.
The career opportunities in Data Science are: