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Data Science and Machine Learning For Beginners with Python – Udemy

(10 customer reviews)

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Description

What you’ll learn

  • Install Jupyter Notebook Server
  • Create a new notebook
  • Explore Components of Jupyter Notebook
  • Understand Data Science Life Cycle
  • Use Kaggle Data Sets
  • Perform Probability Sampling
  • Explore and use Tabular Data
  • Explore Pandas DataFrame
  • Manipulate Pandas DataFrame
  • Perform Data Cleaning
  • Perform Data Visualization
  • Visualize Qualitative Data
  • Explore Machine Learning Frameworks
  • Understand Supervised Machine Learning
  • Use machine learning to predict value of a house
  • Use Scikit-Learn
  • Load datasets
  • Make Predictions using machine learning
  • Understand Python Expressions and Statements
  • Understand Python Data Types and how to cast data types
  • Understand Python Variables and Data Structures
  • Understand Python Conditional Flow and Functions
  • Learn SQL with PostgreSQL
  • Perform SQL CRUD Operations on PostgreSQL Database
  • Filter and Sort Data using SQL
  • Understand Big Data Terminologies.

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Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information . Data is a fundamental part of our everyday work, whether it be in the form of valuable insights about our customers, or information to guide product,policy or systems development.   Big business, social media, finance and the public sector all rely on data scientists to analyse their data and draw out business-boosting insights.

Python is a dynamic modern object -oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer.It is also known as a general purpose programming language due to it’s flexibility. Python is used a lot in data science. 

Machine learning relates to many different ideas, programming languages, frameworks. Machine learning is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules or algorithms and learn about new things, on its own. In this course, we’ll explore some basic machine learning concepts and load data to make predictions.

We will also be using SQL to interact with data inside a PostgreSQL Database.

What you’ll learn

  • Understand Data Science Life Cycle

  • Use Kaggle Data Sets

  • Perform Probability Sampling

  • Explore and use Tabular Data

  • Explore Pandas DataFrame

  • Manipulate Pandas DataFrame

  • Perform Data Cleaning

  • Perform Data Visualization

  • Visualize Qualitative Data

  • Explore Machine Learning Frameworks

  • Understand Supervised Machine Learning

  • Use machine learning to predict value of a house

  • Use Scikit-Learn

  • Load datasets

  • Make Predictions using machine learning

  • Understand Python Expressions and Statements

  • Understand Python Data Types and how to cast data types

  • Understand Python Variables and Data Structures

  • Understand Python Conditional Flow and Functions

  • Learn SQL with PostgreSQL

  • Perform SQL CRUD Operations on PostgreSQL Database

  • Filter and Sort Data using SQL

  • Understand Big Data Terminologies

A Data Scientist can work as the following:

  • data analyst.

  • machine learning engineer.

  • business analyst.

  • data engineer.

  • IT system analyst.

  • data analytics consultant.

  • digital marketing manager.

Who this course is for:

  • Beginners to Data Science
  • Beginners to Machine Learning
  • Beginners to Python
  • Beginners to SQL

Course content

  • Introduction and Setup
  • Python Fundamentals
  • Data Science
  • Introduction to Machine Learning with Python
  • SQL and Data Science with PostgreSQL
  • Introduction to Big Data Terminology

10 reviews for Data Science and Machine Learning For Beginners with Python – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Devang Jain

    The course is not updated and most of the solution codes don’t work and there are no video solutions towards the end

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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