The Data Science Course 2020: Complete Data Science Bootcamp | Udemy

Welcome to the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science.

At over 40+ hours, this Python course is without a doubt the most comprehensive data science and machine learning course available online. Even if you have zero programming experience, this course will take you from beginner to mastery.

Here’s why:

The course is a taught by the lead instructor at the App Brewery, London’s leading in-person programming bootcamp.
In the course, you’ll be learning the latest tools and technologies that are used by data scientists at Google, Amazon, or Netflix.
This course doesn’t cut any corners, there are beautiful animated explanation videos and real-world projects to build.
The curriculum was developed over a period of three years together with industry professionals, researchers and student testing and feedback.
To date, we’ve taught over 200,000 students how to code and many have gone on to change their lives by getting jobs in the industry or starting their own tech startup.
You’ll save yourself over $12,000 by enrolling, but get access to the same teaching materials and learn from the same instructor and curriculum as our in-person programming bootcamp.
We’ll take you step-by-step through video tutorials and teach you everything you need to know to succeed as a data scientist and machine learning professional.

The course includes over 35 hours of HD video tutorials and builds your programming knowledge while solving real-world problems.

In the curriculum, we cover a large number of important data science and machine learning topics, such as:

Data Cleaning and Pre-Processing
Data Exploration and Visualisation
Linear Regression
Multivariable Regression
Optimisation Algorithms and Gradient Descent
Naive Bayes Classification
Descriptive Statistics and Probability Theory
Neural Networks and Deep Learning
Model Evaluation and Analysis
Serving a Tensorflow Model
Throughout the course, we cover all the tools used by data scientists and machine learning experts, including:

Python 3
Tensorflow
Pandas
Numpy
Scikit Learn
Keras
Matplotlib
Seaborn
SciPy
SymPy
By the end of this course, you will be fluently programming in Python and be ready to tackle any data science project. We’ll be covering all of these Python programming concepts:

Data Types and Variables
String Manipulation
Functions
Objects
Lists, Tuples and Dictionaries
Loops and Iterators
Conditionals and Control Flow
Generator Functions
Context Managers and Name Scoping
Error Handling
By working through real-world projects you get to understand the entire workflow of a data scientist which is incredibly valuable to a potential employer.

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