Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!

Petko Aleksandrov is professional trader and mentor at EA Forex Academy. He teaches algorithmic trading in his courses and shares his trading strategies. You will learn how he creates 100s of Expert Advisors – Robots for trading. You will receive included 99 Robots for Ethereum trading. You will see how he tested the strategies for one month period with just few clicks.

One of the most common problems learners have when jumping into Machine Learning and Data Science is the steep learning curve, and when you add to this the complexity of learning programming languages like Python or R you can get demotivated and lose interest fast. In this course you will learn the basic concepts of machine learning using a visual tool. Where you can just drag drop machine learning algorithms and all other functionality hiding the ugliness of code, making it much more easier to grasp the fundamental concepts. I will "hand-hold" you as we build from scratch 2 different types of supervised machine learning algorithms used in the real world, across several industries and I will explain where and how they are used. The course will teach you those fundamental concepts of machine learning by implementing practical exercises which are based on live examples.

About this course: We all learn numbers from the childhood. Some of us like to count, others hate it, but any person uses numbers everyday to buy things, pay for services, estimated time and necessary resources. People have been wondering about numbers' properties for thousands of years. And for thousands of years it was more or less just a game that was only interesting for pure mathematicians. Famous 20th century mathematician G.H. Hardy once said "The Theory of Numbers has always been regarded as one of the most obviously useless branches of Pure Mathematics".

This module, along with module 2B introduces two key concepts in statistics/epidemiology, confounding and effect modification. A relation between an outcome and exposure of interested can be confounded if a another variable (or variables) is associated with both the outcome and the exposure. In such cases the crude outcome/exposure associate may over or under-estimate the association of interest. Confounding is an ever-present threat in non-randomized studies, but results of interest can be adjusted for potential confounders.

This course enables you to know more details about the data mining and ETL techniques. Whether you are new to Excel or an advanced user, Grey Campus Power BI course will cover what you need to know to become a Power BI User and how to gather and decode the data from multiple sources using advanced Ms Excel tools. Each and every topic mentioned above are explained in the Hands-on videos. Exercises and datasets included in this course are useful to practice and implement the concepts learned in this course. For your reference,additional material is also provided.

"The course is really very complete. In my case I did not know anything about the subject. However, the teacher explains so well that I was able to understand and complete all the topics. The teacher also answers the questions quickly and kindly. Machine Learning is one of the skills which is in high demand.

Machine Learning is currently one of the hottest topics out there. The working place of tomorrow is related to ML. No wonder that interest has drastically risen. The difficult question for beginners is how to get into it. From my personal experience the best way is to get one's hands dirty and apply machine learning in practice.

According to a report by BofA Merrill Lynch, the Robots and Artificial Intelligence solutions market will grow to $153 billion dollars by 2020 – comprising 83 billion dollars for robot and robotics and 70 billion dollars for AI-based analytics. As Venkat Viswanathan, chairman and founder at LatentView Analytics states, "What can be automated should be. In rule based processes, AI is more efficient than human interaction. However, we are far away from AI being center stage. I estimate that on an average about 90 percent of analysis today is done by humans and 10 percent by machines. As we build technology that helps machines get smarter, this will change. In another 10 years, machines will do 50 percent of analysis."

This course covers the basic data science skills of python and text mining of keywords. The student will also learn simple search and recommendation algorithms. Data processing, calculations, and analysis related to keyword extraction will be taught using a hands-on project / coding test based approach. Python will be taught in a systematic, example based method using the text dataset included especially for this course. In addition to python, the exercises will include application of skills using the emacs editor.