# Learn Data Science and Machine Learning in 2017

Always wanted to become a Data Scientist or a Machine Learning Engineer? Start your career in Data Science right now! We have come up with a list of top online courses that we know you will surely have fun learning. These specially selected courses will help you get started with data science, machine learning, and deep mining along with learning Python and R programming.

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### Data Science A-Z: Real-Life Data Science (Exercices Incl.)

**Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!**

**Extremely Hands-On… Incredibly Practical… Unbelievably Real!**

This is not one of those fluffy classes where everything works out just the way it should and your training is smooth sailing. This course throws you into the deep end.

In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities — you name it! This course will give you a full overview of the Data Science journey.

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

**Become a data scientist in the tech industry! Comprehensive data mining and machine learning course with Python & Spark.**

**Data Scientists enjoy one of the top-paying jobs**, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average! And it’s not just about money — it’s interesting work too!

If you’ve got some programming or scripting experience, this course will teach you the techniques used by real data scientists in the tech industry — and prepare you for a move into this hot career path.

### R Programming A-Z: R For Data Science With Real Exercises!

**Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2**

**Learn R Programming by doing!** There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward. After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples. This training is packed with real-life analytical challenges which you will learn to solve.

In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!

### Deep Learning Prerequisites: Logistic Regression in Python

**Data science techniques for professionals and students — learn the theory behind logistic regression and code in Python**

This course is a lead-in to **deep learning** and **neural networks** — it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python.

### Deep Learning Prerequisites: Linear Regression in Python

**Data science: Learn linear regression from scratch and build your own working program in Python for data analysis.**

This course teaches you about one popular technique used in **machine learning**, **data science** and **statistics**: **linear regression**. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own linear regression module in Python.

### Machine Learning A-Z: Hands-on Python & R In Data Science

**Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.**

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

### Introduction to Machine Learning & Face Detection in Python

**Learn the most up to date techniques in data mining from regression to neural networks**

This course is about the fundamental concepts of machine learning, focusing on neural networks, SVM and decision trees. These topics are getting very hot nowadays because these learning algorithms can be used in several fields from software engineering to investment banking. Learning algorithms can recognize patterns which can help detect cancer for example or we may construct algorithms that can have a very very good guess about stock prices movement in the market.

In each section we will talk about the theoretical background for all of these algorithms then we are going to implement these problems together.

### Learn Big Data: the Hadoop Ecosystem

**Master the Hadoop ecosystem using HDFS, MapReduce, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, Zookeeper**

In this course you will learn Big Data using the Hadoop Ecosystem. Why Hadoop? It is one of the most sought after skills in the IT industry. The average salary in the US is $112,000 per year, up to an average of $160,000 in San Fransisco (source: Indeed).

You will learn how to use the most popular software in the Big Data industry at moment, using batch processing as well as realtime processing. This course will give you enough background to be able to talk about real problems and solutions with experts in the industry. Updating your LinkedIn profile with these technologies will make recruiters want you to get interviews at the most prestigious companies in the world.

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*Originally published at **EloquentWebApp**.*