Data Science Using Python

What you'll learn:

Python programming fundamentals and syntax.
Working with data structures such as lists, dictionaries, and tuples.
Data manipulation and cleaning using libraries like pandas.
Exploratory data analysis and visualization with libraries like matplotlib and seaborn.
Feature selection and engineering.
Deep learning and neural networks.
Natural language processing and text mining.

Course offers:

One-on-one or group tutoring sessions in various subjects.
Experienced tutors who provide personalized instruction and guidance.
Interactive virtual classrooms with video and audio communication.
Access to a wide range of educational resources and study materials.
Online chat or messaging for communication outside of tutoring sessions.
Integration with other online learning platforms or tools.

Requirements:

Reliable internet connection to ensure smooth video streaming and communication.
A computer, laptop, or mobile device with audio and video capabilities.
Updated web browsers like Google Chrome, Mozilla Firefox, or Safari.
Necessary software or applications, such as video conferencing tools or learning management systems.
A headset or headphones with a microphone for clear audio communication.

Course content:

Duration : 130 hours

Class #1: Introduction to Data Science and Visualization
Class #2: Basics of Python Language
Class #3: Python Core Data Structures
Class #4: Functions, Modules and OOPs Concepts
Class #5: File Operation using Python
Class #6: Numpy Operations
Class #7: PANDAS Operations
Class #8: Data Visualization using Python
Class #9: Matplotlib Library
Class #10: Seaborn Library
Class #11: Data Scraping Basic Using Python
Class #12: API-based Scraping
Class #13: Scraping Using beautifulsoup

Skills you will acquire:

Mathematical computing
NumPy and SciPy package
Web scraping
Hypothesis building
Python programming concepts
ScikitLearn package for Natural Language Processing

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Description:

Data Science is a multidisciplinary field that involves extracting insights and knowledge from data using various techniques and tools. Python is one of the most popular programming languages for data science due to its simplicity, readability, and extensive ecosystem of libraries and frameworks.

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What our students have to say

Sarah L

"I was hesitant about taking an online class for data structures, but this course exceeded my expectations. The instructor's knowledge and teaching style were excellent. The hands-on coding exercises helped solidify my understanding, and the online resources provided were invaluable. I feel well-prepared to apply data structures in real-world projects. Thank you!"

Emily T.

"I can't praise the online live training class for data structures using Python enough. The instructor was knowledgeable and patient, making complex topics easy to understand. The opportunity to interact with fellow students during group exercises was invaluable. The class materials and resources provided were comprehensive and enhanced my learning experience. I would enroll in another course without hesitation."

Michael R.

"The online live training class for data structures using Python was a game-changer for me. The instructor's explanations were concise, and the course material was well-structured. The interactive coding sessions allowed me to practice and reinforce my skills. I appreciated the flexibility of attending classes from anywhere. This class truly helped me level up my programming abilities."

David M.

"Taking the online live training class for data structures using Python was the best decision I made. The instructor's passion for the subject was evident, and their explanations were clear and concise. The real-time coding examples and practical assignments helped me gain a deeper understanding. The online platform was user-friendly, making the learning process smooth. I highly recommend this class to anyone interested in mastering data structures."

John S.

"The online live training class for data structures using Python was phenomenal! The instructor explained complex concepts in a clear and engaging manner. The interactive virtual classroom made it easy to ask questions and participate in discussions. I feel more confident in my understanding of data structures now. Highly recommended!"