VIDEO COURSE:Learn Python and Data Science

Python For Beginners: Learn All The Basics of Python, Master Data Science With Python (2 PYTHON COURSES)

• Learn How to Program in Python- Python Functions-Python Basic Apps – Python Tips and Tricks – Other Python Features

• Learn Python For Data Science (Pandas, Matplotlib, Seaborn) and Data Pre-Processing For Machine Learning!

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You Will Recieve Two Skill Building Courses:

✅ Course 1: Learn All The Basics of Python

✔ 4 Sections, Total 30 Lectures

✔ 5 Hours Video Contents

✔ Watch on Mobile, on Laptop & Windows

✔ All Videos Are Downloadable

✔ English Language

✔ Lifetime Access

✅ Course 2: Master Data Science With Python

✔ 7 Sections, Total 62 Lectures

✔ 10 Hours Video Contents

✔ Watch on Mobile, on Laptop & Windows

✔ All Videos Are Downloadable

✔ English Language

✔ Lifetime Access

*NOTE: We’re Providing Only Courses So That You Can Learn New Skills and Sharpen Your Future… We’re Not Providing Any Certificate*

WHAT YOU WILL LEARN

✅ Course 1: Python For Beginners

➤ Learn how to use Python 3 the right way

Understand complex functions in python

➤ Be able to use python on a daily basis

➤ Create your own basic programs with python

➤ Learn Different Tips and Trics to improve your programming skills

➤ Learn at your own rythm with different practical exercices at each course

✅ Course 2: Master Data Science with Python in 10 Hours

➤ Importance of Data Science and It’s applications

➤ Python – data types, functions, if conditions, loops and functions

➤ Numpy library – a faster alternative to store data!

➤ Pandas library – import, clean and modify large data sets

➤ Matplotlib library – visualize data

➤ Seaborn library- create impressive statistical plots

➤ Communicate conclusions from data effectively using plots

➤ and many more!

Requirements

• Having a computer

• Wanting to learn programming in python

no experience required

Description

Programming can sometimes be very hard to learn especially if you have no experience in this field. But, this course have everything that you need to be able to start your programming career or improve your programming skills by learning all the basis of python. If you :

• Are in school and want to learn how to program in python
• Need to learn this programming language for work
• Want to start a personal project that requires you to have programming knowledge
• simply want to learn a new skill

Then you will love these courses. Not only you will have by the end of the course a very solid base of this programming language but you will also be able create small and simple application right after these courses.

✅ Course 1 – Python For Beginners: The Content Structure of This Course

4 Sections, 30 Lectures, 5 Hour Total Length

✦ Introduction

• Introduction

• Why python

• Downloading and setting up python

✦ Part 1: Let’s Start

• Writting our first lines (hello world)

• Playing with the print function

• Using variables in python

• String manipulation

• Different number manipulation

• Understanding the input function on python

• Practice part 1

• Practice part 2

✦ Part 2

• Adding comments on your project

• The utility of functions

• How to use the return statement

• Understanding the if statement Part 1

• Understanding the if statement Part 2

• Understanding the if statement Part 3

• Working with lists

• Using functions with lists

• Difference between lists and tuples

• What is a dictionnary in python

• Introduction to while loop structure

• Understanding For loops

• Practice : Creating and blocking passwords

• Practice: Testing combinations

• Creation of a basic encryption app

• Working with classes and objects

• Dealing with errors

✦ Conclusion

• Conclusion

• Thank You

The way the course is made is really done to help you learn all the basics of this programming language. From installing your text editor to writing your first lines of code to create your small apps everything is structured to help you achieve your goal of learning how to program in python. This course is also teach many python functions and formulas and give a complete understanding of those. The goal is really to help you have a complete understanding of this programming language. Indeed, the hardest part is not to learn the language but to think like a programmer and this is exactly what this course is going to teach you.

Also, this course has been built on a concept of learning by practice. In other words, in each class you will learn the theory about every concept and then you will have a lot of practice to help you reach your full potential and give you a better understanding of the topic. This way, by practicing you will be able to write lines of code by yourself and understand the logic behind each command that you write down.

✅ Course 2- Master Data Science With Python: The Content Structure of This Course

7 Sections, 60 Lectures, 10 Hours Contents

✦ Introduction

• Introduction to Data Science

✦ Anaconda Installation Guide and Jupyter Notebook Walk-through

• Anaconda Installation

• Jupyter Notebook Walk-through

• Lecture Materials – All the Jupyter Notebooks

✦ Python Basics

• Numbers and Basic Operations

• Strings

• Format Print

• Lists

• Tuples

• Dictionaries

• If Conditions

• While and For Loops

• Functions – Part I

• Functions – Part II

• Exercises I – Python Exercises Overview

• Solutions I – Python Solutions

✦ A Faster Alternative: Numpy

• Numpy Library: Introduction

• Numpy: Arrays

• Numpy: Arithmetical Operations

• Numpy: Selection and Indexing – Part I

• Numpy: Selection and Indexing – Part II

• Numpy: Some Built-in Functions

• Exercises II: Numpy Exercises Overview

• Solutions II: Numpy Solutions

✦ Dealing With Large Data Sets: Pandas

• Pandas Library: Introduction

• Data Structures: Series – Part I

• Data Structures: Series – Part II

• Data Structures: DataFrames – Part I

• Data Structures: DataFrames – Part II

• Methods to Modify Data: Reindex – Part I

• Methods to Modify Data: Reindex – Part II

• Methods to Modify Data: Drop

• Methods to Modify Data: Sort

• Some Statistical Methods

• Methods: Dealing with Missing Data

• Hierarchy – Multi Index

• Methods: Restructure Data – Pivot

• Combine DataFrames: Merge

• Combine DataFrames: Concatenation and Join

• Methods to Modify Data: Replace

• Group Data: Groupby

• Some Useful Built-in Functions

• Correlating Data: Cross Tabulation

• Exercises III: Pandas Exercises Overview (using Netflix data)

• Solutions III: Pandas Solutions

✦ Visualization I – Matplotib

• Matplotlib Library: Introduction

• Matplotlib: Creating Plots – Part I

• Matplotlib: Creating Plots – Part II

• Matplotlib: Some Plot Types

✦ Visualization II – Seaborn

• Seaborn Library: Introduction

• Seaborn Notebook: Overview

• Seaborn: Distribution Plots

• Seaborn: Categorical Plots – Part I

• Seaborn: Categorical Plots – Part II

• Seaborn: Matrix Plots

• Seaborn: Grid Plots

• Seaborn: Regression and Grid Plots – lmplot

• Seaborn: Customizing Plots

• Exercises IV: Seaborn Exercises Overview

• Solutions IV: Seaborn Solutions

With this course, you will learn the basics of Python and its most popular libraries for Data Science such as Numpy, Pandas, Matplotlib, Seaborn. You will learn all the important tools and knowledge for Data Science with more than 60 lectures

Data pre-processing is a very important stage of the work flow of Machine Learning. With this course, you will learn how to import, check, clean data in terms of data pre-processing for Machine Learning, also visualize data and communicate your results using impressive plots. This course will help you jump start your career or take your first big step into the world of Data Science and Machine Learning which are very popular fields with many attractive job opportunities!

For who is these two courses designed

There are many python courses out there, but this one is different. Indeed, this python course will teach you by example all the basics of this programming language. Also, since this course is an introduction it can be great for people who have never worked with python before. Indeed, even if you never programmed in your life this course will give you a solid basis about how to properly work with python. The goal of this course is teaching you how to think like a programmer and create small and basics python projects.

Why should I take these two courses

If you want to learn programming then you should definitely take the course. Not only you will have created a lot of small apps by the end of it you will also have a very good knowledge of different python concepts. Also you will understand the logic behind this programming language as well as many of it’s functions.

You will learn amazing skills that can be very useful in your professional or everyday life

Enroll Now and Start Learning Today!

✅ Course 1: Learn All The Basics of Python

✔ 4 Sections, Total 30 Lectures

✔ 5 Hours Video Contents

✔ Watch on Mobile, on Laptop & Windows

✔ All Videos Are Downloadable

✔ English Language

✔ Lifetime Access

✅ Course 2: Master Data Science With Python

✔ 4 Sections, Total 30 Lectures

✔ 5 Hours Video Contents

✔ Watch on Mobile, on Laptop & Windows

✔ All Videos Are Downloadable

✔ English Language

✔ Lifetime Access

*NOTE: We’re Providing Only Courses So That You Can Learn New Skills and Sharpen Your Future… We’re Not Providing Any Certificate*

Click on The Next Button & Fill Your Details To Proceed Payment. After Payment, You Will Recieve This Course Access Link Link To Your Email Within 1 Minute

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