Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
8 Hour(s) 33 Minute(s)
Language
English
Taught by
Temotec Learning Academy
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
3 views
Course Overview
From Beginner to Advanced: Master the Data Analysis with Numpy, Pandas and ChatGPT Generative AI Asssistance.
The key to success in data science is understanding the data at hand. In this comprehensive course, we'll teach you everything you need to know about data analysis and data science using Python. You'll learn how to use Python libraries like Numpy and Pandas to manipulate and process data, and how to visualize your findings for maximum impact.
Whether you're a beginner or an experienced data scientist, this course will take you from the basics of Python to advanced techniques in data analysis. You'll learn how to install Python, use Python IDEs, and create Python modules. You'll also learn how to use Numpy and Pandas to manipulate data, process images, and perform data analysis and visualization.
With step-by-step examples and hands-on exercises, you'll gain practical knowledge and skills that you can apply to real-world data science problems. By the end of this course, you'll have a solid understanding of Python and be able to write Python code to analyze, process, and visualize data.
What you will learn in this course:
- Learn Python fundamentals step by step, from installation to syntax to IDEs.
- Use Numpy and Pandas libraries to manipulate and process data.
- Understand different data types and how to work with them in Python.
- Create Python modules and use them to open and manipulate files.
- Perform data analysis and visualization with Numpy and Pandas.
- Process images using Numpy libraries.
- Handle errors and use control flow and loops to optimize your Python programs.
This comprehensive course is perfect for anyone looking to learn data science and Python programming. With these tutorials, you'll go from beginner to pro under the guidance of an experienced data science instructor.
The hands-on projects and exercises will give you practical experience in:
- Importing, cleaning, and wrangling datasets using Pandas
- Statistical analysis and machine learning with Numpy
- Creating insightful data visualizations with Matplotlib
- Building end-to-end data pipelines and Python scripts
These are the exact skills top companies like Google, Facebook, and Microsoft are looking for in data professionals.
Learning by doing is the best way to master new skills. This course provides you with downloadable datasets, Python code templates, mini-projects and more to actively practice as you learn. With our expert instructor guiding you, you'll be ready for a career in data in no time!
If you want to future-proof your career and break into the exciting world of data science, Python is a must-have skill. Enroll in this best-selling course and start your journey today!
Course Content
- 15 section(s)
- 71 lecture(s)
- Section 1 Python Environment Preparing
- Section 2 Python Refresher
- Section 3 Object Oriented Programming (OOP) In Python
- Section 4 Refresher Project 1
- Section 5 Refresher Project 2
- Section 6 Refresher Project 3
- Section 7 Data Analysis Process.
- Section 8 Python Numpy
- Section 9 Python Pandas Data Analysis & Visualization
- Section 10 Web Scraping & Data Analysis Using Python & SQL.
- Section 11 Project 4: Using Pandas + Automation to Manage a Business Email List.
- Section 12 A/B Testing Overview using Python.
- Section 13 Project 5: Google App Data Analysis.
- Section 14 Using ChatGPT and Generative AI Assistance for Data.
- Section 15 Thanks
What You’ll Learn
- What is Python libraries or modules & how to use its methods?
- How to use Numpy + pandas in data Analysis And data Science.
- How to use Python to manipulate & process data.
- Data analysis & data visualization using Python.
Skills covered in this course
Reviews
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LLeo Hughes
The visualization techniques taught in this course are immediately useful. I can now create clear and insightful charts from data.
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JJack Davies
Full of helpful tools thatChanged how I handle data. Every project seems easier now. Changed raw data into easy-to-understand visuals quickly. A big improvement for how I work.
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MM C Rohith
Couldn't able to understand some words and it would be better to make the captions correct. I found that captions are not correct sometimes like instead of Python it is displaying Bison.
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MManjula Kumari
I loved it. this class makes data analysis easier to understand and fun to do. The organized method makes complex subjects seem easier to understand, and the visual tools help make the data more interesting.
