# Top Data Science Courses on Udemy

An overview of the very best that Udemy has to offer in data science education. Includes courses covering machine learning, Python, Hadoop, visualization, and more.

### Best Machine Learning Courses

### Data Science and Machine Learning with Python – Hands On!

**Instructor:** Frank Kane, Data Miner and Software Engineer

**Course Length:** 9 hours

**Price: **$30

**Skills you will learn (in Python)**

- Linear & Multivariate Regression
- Supervised and unsupervised learning
- Bayesian Methods
- K-Means Clustering
- Support Vector Machines
- Reinforcement Learning
- K-Nearest Neighbor
- Collaborative Filtering
- Decision Trees & Random Forests
- Ensemble Learning

**Tools you will learn**

- Python machine learning libraries
- Apache Spark and its MLLib package

**Overview**

*Data Science and Machine Learning with Python* is a comprehensive walk-through of how to use Python to analyzing large data sets with various machine learning and data mining techniques. There’s some bonus material on how to perform machine learning on large amounts of data with Apache Spark and MLLib, which is great to know.

This course does go over some basics in Python in the first module, but quickly jumps into the good stuff. It’s recommended that you have some experience with programming/scripting beforehand. You’ll also get a handy refresher on statistics and probability, so if you’re uneasy about that aspect of machine learning then don’t worry, it’ll be covered here.

### Data Science: Deep Learning in Python

**Instructor:** Justin C, Data scientist and big data engineer

**Course Length: **1.5 hours

**Price: **$50

**Skills you will learn (in Python)**

- How to build a neural net with Python and NumPy
- How to build a neural net with Google’s TensorFlow
- The backpropogation training method

**Tools you will learn**

- Python’s NumPy
- TensorFlow

**Overview**

In *Data Science: Deep Learning with Python* you’ll be learning how to write your own Neural Network in Python using **NumPy** and **TensorFlow**. Here, you’ll need to know Python, how to take derivatives, and how to find log-likelihoods.

This is a great course because you learn how deep learning and neural nets are built, and you’re walked through concrete examples that help solidfy the material. Justin does an excellent job of explaining the intricacies of a somewhat more complex topic

### Best Python Data Visualization Course

### Learning Python for Data Analysis and Visualization

**Instructor:** Jose Portilla, Data Scientist

**Course Length: **21 hours

**Price: **$35

**Skills you will learn (in Python)**

- How to visualize datasets with Python and Pandas
- How to work with Jupyter Notebooks
- Using NumPy to work with arrays
- How to use Pandas to work with data
- How to work with Excel, JSON, and HTML in Python
- How to use Matplotlib and Seaborn with Python to visualize data
- Natural Language Processing
- Various Machine Learning techniques

**Tools you will learn**

- Pandas, NumPy, Matplotlib, and Seaborn with Python
- JSON, HTML, and Excel data

**Overview**

Here you’ll learn a bit of intro Python programming, but pretty much goes straight into working with arrays in NumPy. Along with NumPy, you’ll get a ton of experience learning how to analyze and work with data using Pandas.

This is probably one of the most interesting courses on this list just from the number of incredible examples you start going through at the end of the course. Once you’ve built up the NumPy and Pandas knowledge, you dive into examples like the Titanic project, stock market analysis, and election analysis. Really great course for those craving to start working on tangible projects.