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Python Hands-On Crash Course For Data Science | 12+ Projects

Python Hands-On Crash Course For Data Science | 12+ Projects Get A Solid Python Background For Your Career: NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, ML, Web Scraping
Python Hands-On Crash Course For Data Science | 12+ Projects Get A Solid Python Background For Your Career: NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, ML, Web Scraping

Python Hands-On Crash Course For Data Science | 12+ Projects

Get A Solid Python Background For Your Career: NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, ML, Web Scraping

What you’ll learn

Python Hands-On Crash Course For Data Science | 12+ Projects

  • 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 Windows Laptop, 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 software.
  • Your enthusiasm to learn !!

Description

According to StackOverFow report 2020, Python is the most preferred programming language by industry professionals. The report also emphasizes that employers prefer Python programmers and are willing to pay them more than any other programming language professionals.
The Harvard Business Review also labeled 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 scientists,s or data analysts who use Python, become more efficient than others who use other programming languages.

Python is also tagged as the 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 in 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
  • You 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 APIs 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 professional.

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!
  • Last updated 7/2021

Python 3 Data Science – Time Series with Pandas Course
Download p1 Download p2 Content From: https://www.udemy.com/course/python-crush-course-for-data-analysisdata-science-ml/

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