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Description

What Will You Learn?

  • Code with Python Programming Language, Python Functional Programming
  • Structure Data using collection containers, Object-Oriented Design
  • Advanced Python Foundations, Handling Data with Python Libraries
  • Numerical Python, Extracting and Analyzing data from different resources
  • Data analysis, data visualization, Advanced graphics, Build Python solutions for data science

Requirements

  • No Python prior experience is required to take this Training
  • Computer and Internet access
  • NFT Certificate
  • 65 Lessons
  • Beginner
  • English
  • 4.8 Rating
  • +100 XP

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Curriculum

Course consist of total 5h 48min of content, in total.

Section 1: Introduction
18:44
Installing tools
01:21
Markdown in Jupyter
06:47
Using Jupyter Notebook to code with Python
05:41
Use Anaconda Prompt
03:15
Section 2: Python Basics
53:08
Variables and Types Tutorial
10:38
Describe what's inside the code
04:44
Define Blocks and Avoid IndentationError
04:20
String full tutorial
13:44
Numbers, Math and f-string tutorial
15:13
Handling inputs and outputs
04:29
Section 3: Structured Data in Python
47:00
Structure Data using lists
21:02
Structure data using tuples
10:32
Structure Data using Dictionaries
08:05
Structure Data using sets
07:21
Section 4: Python fundamentals
1:06:03
Comparing Values
08:36
output from Logics
06:49
Conditional Statements
08:55
The while loop
02:56
The for loop in Python
07:18
Python Library Functions
11:21
User-Defined Functions
07:30
Breaking the repetition
04:05
Skip and continue
04:35
When loop is not terminated
02:15
App to Put all together
01:43
Section 5: Python Object-Oriented Programming
22:12
Python Object-Oriented Design tutorial
12:02
Exploring Inheritance tutorial
10:10
Section 6: Advanced Concepts
32:46
Comprehensions
05:52
Constructed modules and random
06:37
Doing mathematics
04:47
Doing statistics
04:17
Errors Exploration
04:28
Exceptions Playground
06:45
Section 7: Python Data Handling
26:02
IO data in memory
07:11
Interacting with operating system data
03:04
Moving data files between directories
04:42
Data will be in the trash bin
04:16
Zipping and Unzipping Data
06:49
Section 8: Scientific computing with NumPy
38:02
NumPy Level 1
07:09
NumPy Level 2
05:03
NumPy Level 3
02:25
NumPy Level 4
03:44
NumPy Level 5
05:38
NumPy Level 6
03:50
NumPy Level 7
03:46
NumPy Level 8
03:19
NumPy Level 9
03:08
Section 9: Data Analysis with Pandas
17:12
Pandas data analysis level 1
03:49
Pandas data analysis level 2
04:41
Pandas data analysis level 3
02:18
Pandas data analysis level 4
03:32
Pandas data analysis level 5
02:52
Section 10: Data Visualization with Matplotlib
12:26
Matplotlib data visualization part 1
02:57
Matplotlib data visualization part 2
01:32
Matplotlib data visualization part 3
03:06
Matplotlib data visualization part 4
03:14
Matplotlib data visualization part 5
01:37
Section 11: Advanced Graphics with Seaborn
15:24
Seaborn statistical graphs level 1
03:41
Seaborn statistical graphs level 2
01:56
Seaborn statistical graphs level 3
01:17
Seaborn statistical graphs level 4
01:39
Seaborn statistical graphs level 5
02:31
Seaborn statistical graphs level 6
02:30
Seaborn statistical graphs level 7
01:50

About the Instructor

FLOOSTEC (Flood Of Software Technologies) provides software training and services with considerable experience in this for years.

FLOOSTEC's main objective is to provide high-value skills and solutions in Software Technologies by using high quality, short and direct to the point videos.

FLOOSTEC will show you practically how to become the best developer to make your career better and move forward with amazing speed.

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