Data Science With Python

 Data Science with Python course in Nepal offers a comprehensive approach to mastering the intricacies of data analytics. Designed to empower participants with essential skills for success in the data science field, this program delves into Python basics, data manipulation with Pandas, visualization using Matplotlib and Seaborn, and machine learning algorithms with Scikit-learn. Through hands-on projects, participants solidify their understanding and gain practical experience.

If you are interested in this course, it is available at Upskills Nepal.

image potraying data science with python


Course Module For Data Science With Python

1. Understanding Python Basics

This course starts with initializing your Python environment and choosing between local installations or cloud-based platforms. You will dive into Python by learning about its syntax and exploring variables, data types, and operators. This also includes understanding other Python basics.

2. Mastering Data Manipulation with Pandas

This part includes installing the Pandas library, exploring its features, and learning to read and write data from various formats, including CSV and Excel files. You can get hands-on with data cleaning and manipulation techniques such as filtering, sorting, and grouping.

3. Data Visualization with Matplotlib and Seaborn

This module helps you install and explore the Matplotlib library, and create essential plots like line graphs, bar charts, and scatter plots. Enhance your plots with custom labels, colours, and styles for clarity and aesthetics.

4. Introduction to Machine Learning with Scikit-learn

Data science with Python includes installing and getting familiar with the Scikit-learn library and understanding the basics of supervised learning, including classification and regression, training a basic model using Scikit-learn to grasp the process and learning to evaluate model performance using various metrics.

For more IT and non-IT courses, you can visit this website.

Location: Kathmandu 44600, Nepal

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