From the outside, data science is often thought to consist wholly of advanced statistical and machine learning techniques. However, there is another key component to any data science endeavor that is often undervalued or forgotten: exploratory data analysis (EDA). At a high level, EDA is the practic...
Machine learning is one of the hottest topics in tech today. It is a must-have organizational competency in the data-driven era of digital transformation. Despite the unprecedented speed and ease of creating predictive models today, the human mind is still essential for generating good machine learning models. In this fast-paced introductory class, participants will be introduced to fundamental concepts and walk-through the entire machine learning lifecycle with optional hands-on exercises using open source tools. From selecting the right problem to solve to preventing algorithm bias, machine learning is still an art and a science. Participants will learn how machine learning works, how to prevent common mistakes and learn how to build and use machine learning models. Who Should Attend: This course is designed for technical professionals that want to understand how machine learning works, how to best apply it, and how to get started. Topics include:
One of the common problems people face in learning R is lack of a structured path. They don't know, from where to start, how to proceed, which track to choose? Though, there is an overload of good free resources available on the Internet, this could be overwhelming as well as confusing at the same t...
If you are looking for that one course that includes everything about data analysis with R, this is it. Let's get on this data analysis journey together. This course is a blend of text, videos, code examples, and assessments, which together makes your learning journey all the more exciting and trul...
The Applied Data Science: Machine Learning program will give you hands-on experience in one of the hottest areas of data science. You will learn tools for predictive modeling and analytics, harnessing the power of neural networks and deep learning techniques across a variety of types of data sets. Each of the four courses in this program will let you demonstrate your newly-acquired skills through a course project. ECTS credits will be awarded to learners who successfully complete all four courses and course projects as well as a final capstone project. These course details are subject to change; please refer to the program outline at the time of registration.
Note: Some of these courses are free. But if you decide to purchase anything (using the links below) you'll be financially supporting the Personal Growth publication. This course will give you a full overview of the Data Science journey. You'll develop a good understanding of SQL, SSIS, Tableau, and Gretl. This course begins with Tableau basics.
"This course has taught me many things I wanted to know about pandas. It covers everything since the installation steps, so it is very good for anyone willing to learn about data analysis in python /jupyter environment." "Good explanation, I have laready used two online tutorials on data -science and this one is more step by step, but it is good" "i have studied python from other sources as well but here i found it more basic and easy to grab especially for the beginners. I can say its best course till now . The average data scientist today earns $130,000 a year by glassdoor.
Data Science is one of the hottest jobs of the 21 century with an average salary of over $120,000. This course is designed learners of all backgrounds including beginners with no programming experience to experienced programmers who would like to advance to become a spatial data scientist. I will teach you programming with R to visualize, explore, and analyze your spatial data. At the end of this course, you will be able to acquire skills spatial data analysis. Enroll now in this course and start your journey of becoming a spatial data scientist!
This tutorial video explains the concept of Machine Learning concept and how to teach machines with various algorithms and model. This tutorial also throws light on the various types of machine learning with their advantages and machines models. If you've enjoyed this video, Like us and Subscribe to our channel for more similar informative videos and free tutorials. Ask us in the comment section below. Are you looking for something more?
In this course you will get a complete understanding of Machine Learning concepts. The industry standard best practices for formulating, applying and maintaining data driven products. It starts off with basic explanation of Machine Learning concepts and how to setup your environment. Next we take up data wrangling and EDA with Pandas. We step into Machine Learning algorithms linear and logistic regression and build real world solutions with them.