Data Science With Python by Greycampus
Data Science With Python
Updated on Jul, 2024
Language - English
Development,Data Science,Python
Lectures -15
Duration -12 hours
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Course Description
Welcome to "Data Science with Python," an immersive course designed to equip you with comprehensive skills in data science using the versatile Python programming language. This program covers essential topics from foundational concepts to advanced techniques, preparing you to excel in the dynamic field of data science.
Throughout the course, you will develop proficiency in critical areas such as "Handling Missing Values" to ensure data integrity and "Data Exploration" techniques to gain thorough insights into datasets. Hands-on sessions focusing on "NumPy" for numerical computing and "Data Manipulation" with Pandas will provide you with practical tools for efficient data analysis and manipulation. Additionally, you will explore "Object-Oriented Programming (OOP)" principles for creating modular and maintainable code, and learn "Web Scraping" techniques to extract data from websites for analysis.
Designed for aspiring data scientists and machine learning professionals, this course aims to enhance your ability to leverage Python for diverse data science tasks. By the end of the course, you will be well-prepared to tackle complex data challenges, strengthen your analytical skills, and contribute effectively to data-driven decision-making processes in any organization.
Embark on this enriching learning journey and master the art of data science with Python. Gain the confidence and skills necessary to apply advanced techniques, effectively visualize data, and derive actionable insights to solve real-world problems with data-driven solutions.
Goals
Handling Missing Values: Techniques to ensure data integrity by effectively managing incomplete datasets
Data Exploration: Methods to gain thorough insights into datasets, uncovering patterns and relationships
Data Manipulation: Tools and techniques for manipulating and transforming data efficiently.
Object-Oriented Programming (OOP): Understanding and applying OOP principles in Python for robust and scalable code
Web Scraping: Techniques to extract data from websites for analysis.
Prerequisites
Basic proficiency in using computers and software installation
Familiarity with fundamental Python programming concepts
A foundational understanding of mathematics and statistics would be advantageous.
Curriculum
Check out the detailed breakdown of what’s inside the course
Data Science With Python
15 Lectures
-
Getting Started with Python
45:28
45:28
-
Sequences and File Operations
47:43
47:43
-
Data Visualization 1
46:10
46:10
-
Data Visualization 2
50:55
50:55
-
Handling Missing Values - 1
50:31
50:31
-
Handling Missing Values - 2
47:26
47:26
-
Introduction to Spyder
01:14:49
01:14:49
-
Data Exploration
36:11
36:11
-
Numpy
01:12:45
01:12:45
-
Data Manipulation 1
01:06:13
01:06:13
-
Data Manipulation 2
55:33
55:33
-
OOPS 1
01:05:37
01:05:37
-
OOPS 2
01:00:13
01:00:13
-
Web scraping 1
05:42
05:42
-
Web scraping 2
03:14
03:14
Instructor Details
GreyCampus Inc.
About me
GreyCampus helps people power their careers through skills and certifications. We believe continuous upskilling and certifications is key to sustained success in your career. While older skills are fast becoming less relevant, need for newer in-demand skills is growing exponentially. We believe if you stay skilled, you will stay ahead.
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