2021 Python Crash Course For Data Analysis,Data Science & ML
2021 Python Crash Course For Data Analysis,Data Science & ML
MP4 | h264, 1280x720 | Lang: English | Audio: aac, 44100 Hz | 36h 56m | 16.8 GB
Get A Solid Python Background For Your Career: NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, ML,Web Scraping
What you'll learn
Have A Solid Python Background For Your Career.
Learn From Professionals Who Use Python In The Industry.
Be Able To Use Python For Data Science
Learn To Use Robust Python Libraries And Frameworks Like: NumPy, Pandas, Scikit-Learn, etc.
Be Able To Use Python For Data Analysis
Learn To Use Robust And Modern Data Visualisation Libraries And Frameworks Like: Seaborn, Matplotlib, Plotly, ggplot, etc.
Be Able To Use Python For Business Analysis
Learn Modern Web Scraping Frameworks like Selenium, Scrapy, Beautiful Soup, Request, Web drivers, etc
Learn Industry Level Ways Of Debugging Python Code
Build PROJECTS And PORTFOLIO With Python
Become an Industry-Level Ready Python Programmer!!
Learn How To Create Your Own Python Programs.
Have The Skills And Understanding Of Python To Confidently Apply For Python Programming Jobs.
Crack Python Interview Questions With Hands-On Experience.
Learn Advanced Machine Learning Concepts Such As: Linear Regression, Logistic Regression, KNN, Naive Bayes, Support Vector Machine, etc.
Learn Flask
Build and Deploy Machine Learning Models With Flask
Requirements
No Programming Experience Needed - I'll teach you everything you need to know from scratch
No Paid Software Required - I'll teach you how to use PyCharm, Sublime Text, Jupyter Notebooks, Flask and Google Colab.
A Mac, PC or Linux computer with access to the internet
I'll walk you through, step-by-step how to get all the software installed and set up
I'll walk you through, step-by-step all the concepts and how to use the softwares.
Your enthusiasm to learn !!
Description
According to StackOverFow report 2020, Python is the most preferred programming language by industry professionals. The report also emphasis that employers prefer Python programmers and are willing to pay them more than any other programming language professionals.
The Harvard Business Review also labelled Data Science and Data Analysis as the Sexiest job of the 21st Century. So imagine if you combine the two(i.e. Python + Data). In my experience at Microsoft working as a Data Scientist, I can testify how software developers, data scientist or data analyst who use Python, become more efficient than others who use other programming languages.
Python is also tagged as the most easiest programming language to learn.
Although, Python has all the attributes of what a good programming language is, if you don't get to learn it the right way, it can be difficult and boring just like the other programming languages.
In this course, you will learn Python from scratch, right from what is Python till you master the concepts as a professional Python Programmer.
You will gain industry level Python skills needed for Data Analysis, Data Science, Business Analysis, Web development or Machine learning.
This course aims to teach you from beginner level to Python Professional level. I have worked in several companies including Microsoft, Deloitte, and Synacor where I use Python to work on Data, so I know what it takes to be good in Python to land a decent job.
There are lots of exercises, assignments and projects to get you hands-on and comfortable in programming in Python.
This course has been designed and structured inn the following way:
Get introduced to Python
Know the various versions of Python
Set up your coding environment to start coding
Learn Jupyter Notebook
Learn Anaconda
Start to get hands-on by coding in Python
Learn the various Operators in Python
Learn the various Flow Controls in Python
Learn how to handle and debug errors in Python
Learn Python Modules
Learn Python Packages and Libraries
Get to know
NumPy,
Pandas,
Seaborn,
Matplotlib,
Plotly,
Scikit-Learn, etc
Learn Modern Web Scraping Frameworks like
Selenium,
Scrapy,
Beautiful Soup,
Request,
Web drivers, etc
Build awesome Python Projects
Learn more Advanced Machine Learning concepts like
Linear Regression,
Logistic Regression,
KNN,
Naive Bayes,
Support Vector Machine, etc
Build awesome Machine Learning Projects
Learn Flask
Create Flask API's to deploy Machine Learning models live !!
Feel free to check the course curriculum to verify by yourself.
By the end of this course, you will be much confident in programming in Python like a professionals.
Who this course is for:
Beginners who have never programmed before.
People Interested In Learning Python For Data Science, Data Analysis, Business Analysis, Machine Learning, Artificial Intelligence, Web Development etc.
Programmers switching languages to Python.
If you are interested in learning to code in Python from scratch through building fun and useful projects, then this course is for you!.
Intermediate Python programmers who want to level up their skills!
2021 Python Crash Course For Data Analysis,Data Science & ML
MP4 | h264, 1280x720 | Lang: English | Audio: aac, 44100 Hz | 36h 56m | 16.8 GB
Get A Solid Python Background For Your Career: NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, ML,Web Scraping
What you'll learn
Have A Solid Python Background For Your Career.
Learn From Professionals Who Use Python In The Industry.
Be Able To Use Python For Data Science
Learn To Use Robust Python Libraries And Frameworks Like: NumPy, Pandas, Scikit-Learn, etc.
Be Able To Use Python For Data Analysis
Learn To Use Robust And Modern Data Visualisation Libraries And Frameworks Like: Seaborn, Matplotlib, Plotly, ggplot, etc.
Be Able To Use Python For Business Analysis
Learn Modern Web Scraping Frameworks like Selenium, Scrapy, Beautiful Soup, Request, Web drivers, etc
Learn Industry Level Ways Of Debugging Python Code
Build PROJECTS And PORTFOLIO With Python
Become an Industry-Level Ready Python Programmer!!
Learn How To Create Your Own Python Programs.
Have The Skills And Understanding Of Python To Confidently Apply For Python Programming Jobs.
Crack Python Interview Questions With Hands-On Experience.
Learn Advanced Machine Learning Concepts Such As: Linear Regression, Logistic Regression, KNN, Naive Bayes, Support Vector Machine, etc.
Learn Flask
Build and Deploy Machine Learning Models With Flask
Requirements
No Programming Experience Needed - I'll teach you everything you need to know from scratch
No Paid Software Required - I'll teach you how to use PyCharm, Sublime Text, Jupyter Notebooks, Flask and Google Colab.
A Mac, PC or Linux computer with access to the internet
I'll walk you through, step-by-step how to get all the software installed and set up
I'll walk you through, step-by-step all the concepts and how to use the softwares.
Your enthusiasm to learn !!
Description
According to StackOverFow report 2020, Python is the most preferred programming language by industry professionals. The report also emphasis that employers prefer Python programmers and are willing to pay them more than any other programming language professionals.
The Harvard Business Review also labelled Data Science and Data Analysis as the Sexiest job of the 21st Century. So imagine if you combine the two(i.e. Python + Data). In my experience at Microsoft working as a Data Scientist, I can testify how software developers, data scientist or data analyst who use Python, become more efficient than others who use other programming languages.
Python is also tagged as the most easiest programming language to learn.
Although, Python has all the attributes of what a good programming language is, if you don't get to learn it the right way, it can be difficult and boring just like the other programming languages.
In this course, you will learn Python from scratch, right from what is Python till you master the concepts as a professional Python Programmer.
You will gain industry level Python skills needed for Data Analysis, Data Science, Business Analysis, Web development or Machine learning.
This course aims to teach you from beginner level to Python Professional level. I have worked in several companies including Microsoft, Deloitte, and Synacor where I use Python to work on Data, so I know what it takes to be good in Python to land a decent job.
There are lots of exercises, assignments and projects to get you hands-on and comfortable in programming in Python.
This course has been designed and structured inn the following way:
Get introduced to Python
Know the various versions of Python
Set up your coding environment to start coding
Learn Jupyter Notebook
Learn Anaconda
Start to get hands-on by coding in Python
Learn the various Operators in Python
Learn the various Flow Controls in Python
Learn how to handle and debug errors in Python
Learn Python Modules
Learn Python Packages and Libraries
Get to know
NumPy,
Pandas,
Seaborn,
Matplotlib,
Plotly,
Scikit-Learn, etc
Learn Modern Web Scraping Frameworks like
Selenium,
Scrapy,
Beautiful Soup,
Request,
Web drivers, etc
Build awesome Python Projects
Learn more Advanced Machine Learning concepts like
Linear Regression,
Logistic Regression,
KNN,
Naive Bayes,
Support Vector Machine, etc
Build awesome Machine Learning Projects
Learn Flask
Create Flask API's to deploy Machine Learning models live !!
Feel free to check the course curriculum to verify by yourself.
By the end of this course, you will be much confident in programming in Python like a professionals.
Who this course is for:
Beginners who have never programmed before.
People Interested In Learning Python For Data Science, Data Analysis, Business Analysis, Machine Learning, Artificial Intelligence, Web Development etc.
Programmers switching languages to Python.
If you are interested in learning to code in Python from scratch through building fun and useful projects, then this course is for you!.
Intermediate Python programmers who want to level up their skills!
