Python for Data Science Bootcamp

BY
Board Infinity

Master the principles and methodologies of python programming for data science projects, as well as the skills and competencies that go along with it.

Lavel

Beginner

Mode

Online

Fees

Free

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

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

What you will learn

Data science knowledge Knowledge of python Knowledge of numpy

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

Mr Kunaal Naik
Marketing Operation Advisor
Freelancer

B.E /B.Tech

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