What will you learn in Data Science with Python?
- Python fundamentals required for Data Science
- Data Extraction using SQL
- Data Manipulation using NumPy
- Pandas
- Matplotlib
- Seaborn
Pre-requisites
This course does not have any pre-requisite. The course is based on python, which we are covering from scratch in the course itself.
Description
A warm welcome to Data Science with Python course.
This Data Science with Python course includes core python programming concepts along with the main library used in Data Science – Numpy, Pandas, Matplotlib, Seanborn.
The popular Python pandas data science library will be used to teach students how to manipulate and clean data, explain the abstraction of Series and DataFrame as the key data structures for data analysis. You will be able to take tabular data, clean it up, manipulate it, and perform fundamental statistical analyses by the end of the course.
By the end of this course, you will get all the necessary knowledge to start your career as an Data Scientist.
So, let’s start, and we will see you in the course.
Who this course is for?
This Data Science with Python course is for anyone who wants to start career as Data Scientist.
Course Content
Course Includes
- 8 Hours
- 8 Lessons
- 54 Topics
- 7 Quizzes
- 19 Demos
- Jupyter Lab
- 80
- Course Certificate
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