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Python for Data Science Bootcamp
Master the principles and methodologies of python programming for data science projects, as well as the skills and ...Read more
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Beginner
Online
Free
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Course overview
Python for Data Science Bootcamp certification course is created by Board Infinity, an online educational network aimed at working professionals and participants that would help them grow and thrive by enabling them to function efficiently. The Python for Data Science Bootcamp online course by Board Infinity is for participants who want to learn the fundamentals of Python programming for data science to become certified data scientists.
Python for Data Science Bootcamp online classes is a self-paced training program that includes over 1.5 hours of video lectures, case studies, assignments, and projects to help participants gain a thorough understanding of technologies such as Anaconda, Numpy, Pandas, Jupyter, Matplotlib, and Seaborn, as well as Python concepts such as arrays, lists, and data frames. Participants will be able to develop their Python scripts to undertake basic data analysis in a Jupyter-based simulated environment by the end of this training program.
The highlights
- Certificate of completion
- Self-paced course
- 1.5 hours of pre-recorded video content
- Case studies
- Assignments
- Projects
- Tests
Program offerings
- Online course
- Mentoring from experts
- Learning resources
- Lifetime access
- Accessible on mobile devices
Course and certificate fees
Type of course
Free
certificate availability
Yes
certificate providing authority
Board Infinity
Who it is for
What you will learn
After completing the Python for Data Science Bootcamp online certification, participants will gain a thorough understanding of the essential concepts of Python programming, which will be applied to a variety of data science tasks. Participants will study the various lists, arrays, and data frames in Python programming. Participants will learn about technologies useful in data science that are supported by Pythons such as Pandas, Numpy, Anaconda, Jupyter, Matplotlib, and seaborn. Participants will also learn how to use Numpy indexes, Numpy selection, and Pandas series.
The syllabus
What is Python?
Introduction to Anaconda
Basics of Python
Array Vs Lists
Tuples, Sets and Dictionaries 6
Introduction to NumPy and NumPy Array
NumPy Indexing
NumPy Selection
Introduction to Pandas
Series in Pandas
Data Frames in Python
Titanic Case Study Hands on
Final Test
Instructors
Mr Kunaal Naik
Marketing Operation Advisor
Freelancer
B.E /B.Tech
Articles
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