Hello and welcome to Data Science: Python for Data Analysis Full Bootcamp.
Data science is a huge field, and one of the promising fields that is spreading in a fast way. Also, it is one of the very rewarding, and it is increasing in expansion day by day, due to its great importance and benefits, as it is the future.
Data science enables companies to measure, track, and record performance metrics for facilitating and enhancing decision making. Companies can analyze trends to make critical decisions to engage customers better, enhance company performance, and increase profitability.
And the employment of data science and its tools depends on the purpose you want from them.
For example, using data science in health care is very different from using data science in finance and accounting, and so on. And I’ll show you the core libraries for data handling, analysis and visualization which you can use in different areas.
One of the most powerful programming languages that are used for Data science is Python, which is an easy, simple and very powerful language with many libraries and packages that facilitate working on complex and different types of data.
This course will cover:
- Python tools for Data Analysis
- Python Basics
- Python Fundamentals
- Python Object-Oriented
- Advanced Python Foundations
- Data Handling with Python
- Numerical Python(NumPy)
- Data Analysis with Pandas
- Data Visualization with Matplotlib
- Advanced Graphs with Seaborn
- Instructor QA Support and Help
HD Video Training + Working Files + Resources + QA Support.
In this course, you will learn how to code in Python from the beginning and then you will master how to deal with the most famous libraries and tools of the Python language related to data science, starting from data collection, acquiring and analysis to visualize data with advanced techniques, and based on that, the necessary decisions are taken by companies.
I am Ahmed Ibrahim, a software engineer and Instructor and I have taught more than 500,000 engineers and developers around the world in topics related to programming languages and their applications, and in this course, we will dive deeply into the core Python fundamentals, Advanced Foundations, Data handling libraries, Numerical Python, Pandas, Matplotlib and finally Seaborn.
I hope that you will join us in this course to master the Python language for data analysis and Visualization like professionals in this field.
We have a lot to cover in this course.
Let’s get started!
The Basics of Python
Python Data Structures
The Fundamentals of Python
OOP in Python
-
19Comparing Values
-
20Output from Logics
-
21Conditional Statements
-
22The while loop in Python
-
23The for loop in Python
-
24Python Library Functions
-
25User-Defined Functions
-
26The lambda power
-
27The break statement
-
28The continue statement
-
29The for else statement
-
30Program to Put all together
-
31Quiz 4
Advanced Foundations
Python Data Handling
Numerical Python - NumPy
Analyze Data with Pandas
Visualize Data with Matplotlib
Advanced Data graphs with Seaborn
Resources
-
73Seaborn statistical graphs level 1
-
74Seaborn statistical graphs level 2
-
75Seaborn statistical graphs level 3
-
76Seaborn statistical graphs level 4
-
77Seaborn statistical graphs level 5
-
78Seaborn statistical graphs level 6
-
79Seaborn statistical graphs level 7
-
80Seaborn statistical graphs level 8