Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 19 Minute(s)
Language
English
Taught by
Eslam Tarek Ghanam
Rating
4 views
Course Overview
Beginner’s Guide to Data Analysis: Learn Python, Pandas, NumPy & Data Visualization, and more!
Are you ready to start your path to becoming a Developer!! (Exclusively on Udemy)
This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations.
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! this is one of the most comprehensive course for data science on Udemy!
We'll teach you how to program with Python, how to create amazing data visualizations.
Do you want to start your journey into data analysis with Python? This comprehensive beginner-friendly course is designed to equip you with the fundamental skills needed to program in Python and use its powerful libraries for data analysis.
What You'll Learn:
Introduction to Python – Understand the basics of Python programming and how to write and execute code.
NumPy Library – Learn how to work with arrays and perform advanced mathematical operations.
Pandas Library – Master data manipulation, cleaning, and analysis with Pandas.
Matplotlib Library – Discover how to create professional visualizations to represent data effectively.
Course Features:
Hands-on Projects – Real-world exercises to reinforce your learning.
Comprehensive Resources – Additional materials and references to deepen your understanding.
Lifetime Access – Learn at your own pace with unlimited access to course materials.
Instructor Support – Get guidance and support from the instructor and community.
By the end of this course, you will have the essential skills to kickstart your career in data analysis using Python, opening doors to exciting job opportunities in the field.
Enroll in the course and become a data scientist today!
Course Content
- 9 section(s)
- 19 lecture(s)
- Section 1 Course Introduction
- Section 2 The basics of Programming and Python
- Section 3 Install Python and anaconda and launch a Jupyter Notebook
- Section 4 Variables, Operators, Booleans, Comparisons and Other Functions in Python
- Section 5 Control Flow, Modules and strings in Python
- Section 6 Other Important Python Data Structures
- Section 7 The Numpy, Pandas and Matplotlib Python Data Science Library
- Section 8 Example Project
- Section 9 Congratulations
What You’ll Learn
- Understand Python syntax, variables, and data types.
- Write clean and efficient Python code.
- Use control flow statements (If-Else, Loops) to build logic.
- Create and manipulate NumPy arrays.
- Perform mathematical and statistical operations with NumPy.
- Use broadcasting and vectorized operations for performance optimization.
- Load, clean, and preprocess real-world datasets using Pandas.
- Handle missing data, filter, and sort datasets efficiently.
- Group, merge, and aggregate data for deeper insights.
- Create various charts using Matplotlib (line plots, bar graphs, histograms, scatter plots).
- Customize graphs with labels, legends, and styles.
- Use data visualization to gain insights from datasets.
- Apply all learned concepts in a hands-on capstone project with real datasets.
- Build a data-driven report using Python tools for analysis and visualization.
Skills covered in this course
Reviews
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CCaleb Hunter
I'm just starting this python course and have only watched a little bit so far, but I really like it I'm excited to learn more
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PPrasath R
easy to understand
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AAmit Thakur
IT WAS QUITE A GOOD EXPERIENCE WHILE HAVING KNOWLEDGE WITH UDEMY
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MManish Yadav
easy to understand!
