Applied Data Science With Python Training Online

About our Applied Data Science With Python online course

Our Applied Data Science with Python course is an in-depth, hands-on exploration of data science concepts, techniques, and applications. Aimed at beginners, career switchers, and those looking to upskill, the course provides a comprehensive understanding of the Python programming language and its application in data science. The course is highly relevant in the USA market, where there is a rising demand for skilled data science professionals.

Applied Data Science With Python Course key highlights

• Instructor-led/live online sessions
• Hands-on labs
• Real-world case studies
• Capstone project
• Placement support
• Resume and interview preparation

Overview of our Applied Data Science With Python online Training

The course is delivered through live sessions on both weekdays and weekends, supplemented by a robust learning management system (LMS). The lab environment is designed to simulate real-world conditions, providing students with practical experience on real-world datasets.

Tools & Systems Used:

• Python
• Jupyter Notebook
• Pandas
• NumPy
• Matplotlib
• Scikit-learn

Objectives of our Applied Data Science With Python online training course

• To understand the basics of Python programming
• To learn data manipulation and analysis using Pandas
• To gain proficiency in data visualization with Matplotlib
• To understand machine learning algorithms in Scikit-learn
• To apply data science techniques to real-world problems
• To prepare for a career in data science

What you will learn in our Applied Data Science With Python classes

• Python programming basics
• Data manipulation with Pandas
• Data visualization with Matplotlib
• Machine learning with Scikit-learn
• Working with real-world datasets
• Preparing for a data science career

Course syllabus

1. Introduction to Python
2. Data Manipulation with Pandas
3. Data Visualization with Matplotlib
4. Machine Learning with Scikit-learn
5. Working with real-world datasets
6. Capstone Project

Prerequisites: Basic knowledge of programming. Resources: LMS, recordings, templates.

Course details

Pricing: Contact our instructors for pricing. Software requirements: OS (Windows, MacOS, Linux), internet speed (minimum 1 Mbps), headset, and system specs for Applied Data Science With Python trial/remote access. After-course support: resume help, mock interviews, placement assistance, career counseling; provide {Email} and CTA button “Speak to an Advisor”.

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