Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 56 Minute(s)
Language
English
Taught by
Temotec Learning Academy
Rating
1 views
Course Overview
Learn Python Programming from Scratch, Master Numpy and Pandas Libraries, and Become a Data Science Expert
Data science is all about understanding data, analyzing it, and presenting it in a way that is easy to understand. With Python, data analysis and visualization become easy, and with the Numpy and Pandas libraries, you can manipulate data to achieve any desired action. In this course, you will learn how to use Python to analyze data, manipulate data, and visualize data with Numpy and Pandas libraries.
In this comprehensive course, we'll cover everything from Python programming basics to advanced topics in data analysis and visualization. You'll learn how to install Python, use Python IDEs like IDLE and Anaconda, and master Python data types, operators, functions, modules, and file handling. With Numpy and Pandas libraries, you'll be able to manipulate data and visualize data to make it more understandable.
With step-by-step examples, quizzes, and real-world projects, you'll be able to master Python programming and become a data science expert.
What you will learn in this course?
- Understand the basics of Python programming, including installation and IDEs.
- Master Python data types, operators, functions, modules, and file handling.
- Learn how to use Numpy and Pandas libraries to manipulate data and visualize data.
- Explore advanced topics in data analysis and visualization with Python.
- Practice with quizzes and real-world projects to become a data science expert.
Python is a powerful, elegant, and easy-to-learn programming language that is widely used in data science. With our comprehensive curriculum and hands-on exercises, you'll gain the knowledge and skills you need to become a Python Programming expert.
Join us today and start your journey to mastering Python for Data Science with Numpy and Pandas Libraries!
Course Content
- 10 section(s)
- 58 lecture(s)
- Section 1 Introduction
- Section 2 Python Refresher
- Section 3 Object Oriented Programming (OOP) In Python
- Section 4 Project Color Choices Game
- Section 5 Project Hangman Game
- Section 6 Numpy Python Library
- Section 7 Python Pandas Data Analysis & Visualization
- Section 8 Web Scraping & Data Analysis Using Python & SQL.
- Section 9 Project Google App Data Analysis
- Section 10 Bonus
What You’ll Learn
- What is Python Numpy library or module & how to use its methods.
- How to use Numpy in data Analysis And data Science.
- How to use Numpy to manipulate & process data.
- How to use Numpy to process images.
Reviews
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EElla Green
The real-life examples helped me use NumPy and Pandas in my own data projects easily.
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CChaithanya Prakash Reddy
Content is good but no resources are provided
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AAminata Koroma
The clarity of the explanations made even complex concepts feel easily comprehensible. I really liked the emphasis on examples and solving problems—perfect to get into data science
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BBoris Maksimović
A significant resource for me to excel in data science. The Numpy and Pandas tutorials do a great job of mixing theory with practical use, making hard ideas easier to understand and apply. With its clear plan, you'll go from a beginner to an expert quickly and easily.
