Simplilearn’s Machine Learning Course will introduce you to the world of Artificial Intelligence and Machine Learning. As part of the Machine Learning Certification training, you will master the concepts of Supervised Learning, Unsupervised Learning, Reinforcement Learning, Support Vector Machines, Kernel SVM, Naive Bayes, Decision tree classifier, Random forest classifier, Logistic regression, K-nearest neighbours, K-means Clustering to prepare you for the role of Machine Learning Engineer.

Become an expert in data analytics, machine learning, and web scraping using Python programming. Gain an in-depth understanding of the various packages in Python like NumPy, SciPy, Pandas, and Scikit-learn for performing data analysis, implementing machine learning models, and NLP. The course includes two real-life industry projects and Jupyter notebooks labs to provide an interactive and hands-on practice. This course is suited for both beginners and experienced professionals.

In this SAS Certification Training, you’ll become an expert in analytics techniques using the SAS data science tool. You’ll learn how to apply data manipulation and optimization techniques; advanced statistical concepts like clustering, linear regression and decision trees; data analysis methods to solve real world business problems and predictive modeling techniques. This SAS Certification course will give you practical knowledge you can apply on your next data analysis job.

Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visualization, predictive analytics and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice on R CloudLab by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, finance, airlines, music industry, and unemployment.

This program designed by Ronald Van Loon, named by Onalytica as one of the top 10 Big Data & Data Science Influencer in the world, will give you an in-depth education of the Hadoop development framework, including real-time processing using Spark, NoSQL database technology and other Big Data technologies to make you a skilled Big Data Architect professional at par with leading industry standards.

This program designed by Ronald Van Loon, named by Onalytica as one of the top 10 Big Data & Data Science Influencer in the world, will give you an in-depth understanding of Statistics, Business Analytics and Intelligence using Excel, R,SAS, Python, and Tableau to make you a skilled Business Analytics professional at par with leading industry standards.

This learning path is designed for a professional taking his first steps in the world of analytics and wishes to develop skills in both big data and data science. It is important to be a multi-skilled expert to make it big in the field of analytics to be able to adapt to the fast changing trends of the industry.

This course prepares you for the role of Data Scientist by making you an expert in Statistics, Data Science, Big Data, R Programming, Python, and SAS. The program has been designed by Ronald Van Loon, named by Onalytica as one of the top 10 Big Data & Data Science Influencer in the world to help you master data mining, management, exploration, and carry out several industry-relevant projects.

Machine learning gives you extremely powerful insights into data, and has become so ubiquitous you see it nearly constantly while you browse the internet without even knowing it. Implementations of machine learning are as diverse as recommendation systems to self-driving cars. In this course, you'll be introduced to a unique blend of projects that will teach you what machine learning is all about and how you can use Python to create machine learning projects. Access 26 lectures & 3 hours of content 24/7 Work on six independent projects to help you master machine learning in Python Cover concepts such as classification, regression, clustering, & more Apply various machine learning algorithms Master Python's packages & libraries to facilitate computation Implement your own machine learning models

This course will follow the basic procedures of conducting data science work, namely selecting and describing data, and munging it into a communicable form. At the end of this course, students will be able to pick a small dataset available online and, using Python language, quickly calculate descriptive statistics and show their results with basic charts and tables.