About this course
Brief about Topic:
Python is one of the most versatile and powerful languages used by organizations for various applications starting from web development to machine learning, from automation to database management and graphical user interface among other things. Right now there is no universal industry certification. But that should not stop you from learning this top language which is one of the best languages for data science, machine learning and other domains.
Python certifications are a kind of credential. Credentials are largely how the traditional education system works. You go to a university and obtain a degree, and then when it's time to get a job, your degree acts as a credential. Employers use that credential as a proxy for experience when deciding whether to hire you. It’s proof that you’ve learned the things you say you’ve learned.
Certification Exam Topics:
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Topic No |
Topic/Subtopics |
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1 |
Basic Syntax and Operators. |
|
2 |
Mutable(Lists, Sets, Dictionaries) and Immutable (Numbers, Tuples, String, Frozen sets)Data Structures. |
|
3 |
Modules and Packages :-os, date and time,calendar, random, math,sys. |
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4 |
Loop and Conditional Statements,IO Error Exception and File Handling. |
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5 |
Functions and types:- Inbuilt, User-defined and Anonymous/Lambda Function. |
|
6 |
Classes and objects. |
|
7 |
Data Collection using Web Scraping and Regex. |
|
8 |
Data Preparation using Numpy and Pandas. |
|
9 |
Data Visualization using Matplotlib and Seaborn. |
|
10 |
Introduction to Scikit-Learn. |