Are you ready to start your path to becoming a Data Scientist! This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! 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 beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This course is for the absolute beginner to Artificial Intelligence (AI), Machine Learning, Deep Learning, and Data Science. If you are feeling overwhelmed by either the tsunami of data that you are tasked with trying to make sense out of, or overwhelmed by the tsunami of media coverage around Artificial Intelligence, Deep Learning, Data Science, and Machine Learning, I am here to share a competitive advantage. There is an AI and Data Discovery platform that can be constructed and configured with clicks instead of code. The disruptive power of this is that Artificial Intelligence is now available to the masses, and not just to the quants and data scientists among us. You can now not only catch the competition, but leap frog past them, by leveraging Salesforce Einstein as your On-Demand Data Scientist.

This week at school we've been brainstorming and discussing qualities we want to see in our graduates as they leave our school and enter the wider world of college and work. Today among many other questions, I was thinking about automation and the ways we need students to develop computational thinking skills so they can effectively utilize mind-blowingly powerful AI's (artificial intelligence bots) to collaborate with others and solve problems. As I gaze into the palantir afforded me as a co-host of "The EdTech Situation Room" each week with Jason Neiffer (@techsavvyteach), this is part of the future I see for our students, our society, and ourselves in the coming decades. This 98 second video, which I titled "EdTech Situation Room Promo Trailer," is the result of my thinking about this question tonight. Spoiler: The video offers more questions than answers, and as an answer suggests you need to follow @edtechSR on Twitter and subscribe to our weekly webshow and podcast on YouTube and on edtechSR.com! This question of what an emerging "artificial intelligence first" rather than "mobile first" worldview (which Google announced at Google IO 2017) should mean for schools is something I discussed on The EdTech Situation Room back on May 17, 2017, with Jason Neiffer (@techsavvyteach) and Ben Wilkoff (@bhwilkoff).

In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning. Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.

I am a Data Scientist, with an extensive background using Machine Learning/Artificial Intelligence in the Capital Markets. Starting my career in Banking, followed by Management Consulting, I have worked across domains, and firms ranging from Fortune 50 firms to not-for-profits. The tools I use on a daily basis include R, Python, SQL and MongoDB, and at times a graph database such as Neo4j. Some of my analysis has been published in leading media outlets such as CNBC. Aside from Data Science, I am very passionate about Finance, Strategy, Early Stage Venture Capital, and reading about medieval warfare.

While we usually see robotics applied to industrial or research applications, there are plenty of ways they could help in everyday life as well: an autonomous guide for blind people, for instance, or a kitchen bot that helps disabled folks cook. Or -- and this one is real -- a robot arm that can perform rudimentary sign language. It's part of a masters thesis from grad students at the University of Antwerp who wanted to address the needs of the deaf and hearing impaired. In classrooms, courts and at home, these people often need interpreters -- who aren't always available. Their solution is "Antwerp's Sign Language Actuating Node," or ASLAN. It's a robotic hand and forearm that can perform sign language letters and numbers.

However, this may not necessarily apply to the education sector. After a detailed analysis of more than 2,000-plus work activities for more than 800 occupations, a report by McKinsey & Co states that of all the sectors examined, "…the technical feasibility of automation is lowest in education." There is no doubt that technological trends will have a powerful impact on global education, both by improving the overall learning experience and by increasing global access to education. Massive open online courses (MOOCs), chatbotChatbots are computer programs which were engineered to converse in spoken or written form with humans. They are usually used in dialogue systems with a limited topic range. For example, they can answer basic customer questions or help you buy the correct train ticket.

Inspired by the field of Machine Learning? Then this course is for you! This course is intended for both freshers and experienced hoping to make the bounce to Data Science. R is a statistical programming language which provides tools to analyze data and for creating high-level graphics. The topic of Machine Learning is getting exceptionally hot these days in light of the fact that these learning algorithms can be utilized as a part of a few fields from software engineering to venture managing an account.

The Hidden Markov Model or HMM is all about learning sequences. A lot of the data that would be very useful for us to model is in sequences. Stock prices are sequences of prices. Language is a sequence of words. Credit scoring involves sequences of borrowing and repaying money, and we can use those sequences to predict whether or not you're going to default.

Anamind helps organizations build business planning and forecasting capability. With simplicity at the core of our approach we offer a world class planning system - PLANAMIND, process consulting services, and training for business planning. This course has been specifically designed by us to help planning professionals as well as aspirants of this function worldwide, to understand and build their skills in business planning. The course contains both quantitative and qualitative aspects of planning. This course is business oriented and not purely academic in nature.