This Professional Certificate is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. This Professional Certificate teaches learners how to create end-to-end solutions in Microsoft Azure. They will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions; and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. This program consists of 5 courses to help prepare you to take the Exam DP-100: Designing and Implementing a Data Science Solution on Azure.

Coursera is an E-Learning platform that provides thousands of online courses on various subjects. And Coursera has a wide range of Data Analytics courses too. That's why I thought to share the 12 Best Data Analytics Courses in Coursera with you. So, give your few minutes to this article and find out the Best Data Analytics Courses on Coursera. Now without any further ado, let's get started- This is one of the most popular Data Analyst Certification programs.

This course is Free to Audit and good for understanding more about the ethics behind data science. In this course, you will get to know about the framework to analyze ethical considerations regarding the privacy and control of consumer information and big data. This course will cover the following questions- Who owns data, How do we value privacy, How to receive informed consent, and What it means to be fair.

This Professional Certificate is for anyone who wants to develop job-ready skills, tools, and a portfolio for an entry-level data engineer position. Throughout the self-paced online courses, you will immerse yourself in the role of a data engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, and manage structured and unstructured data. By the end of this Professional Certificate, you will be able to explain and perform the key tasks required in a data engineering role. You will use the Python programming language and Linux/UNIX shell scripts to extract, transform and load (ETL) data. You will work with Relational Databases (RDBMS) and query data using SQL statements.

Artificial intelligence (AI) is the ability of a digital computer or computer-controlled robot to perform tasks that are commonly associated with intelligent creatures. Every student needs a perfect and well-polished course for better learning, no matter if they are fresher or has experience. That's why I wrote this post for those who are really confused about "which course is best for them from all over the Web?". This story is all about the best courses in "Artificial Intelligence" available on the market. This list is a little bit heavy but very exciting because all the courses listed here come from the most popular international educational websites like Coursera, Udacity, Udemy, and more.

Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience. It's a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry level data scientist. The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You'll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets. Upon successfully completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science.

This is a completely free course and a good first step towards understanding the data analysis process. In this course, you will learn the entire data analysis process including posing a question, data wrangling, exploring the data, drawing conclusions, and communicating your findings. This course will also teach Python libraries NumPy, Pandas, and Matplotlib.

Machine Learning and artificial intelligence (AI) is everywhere; if you are curious to learn how companies like Google, Amazon, Youtube and even Udemy extract meaning and insights from massive data sets, this data mining & machine learning course will provide you the knowledge you require. In this comprehensive masterclass, you'll learn everything you've been too afraid to ask about machine learning. There's no prior coding required. Academy of Computing & Artificial Intelligence proudly presents you the course "Professional Certificate in Data Mining & Machine Learning". It all started when the expert team of The Academy of Computing & Artificial Intelligence [ACAI] (PhD, PhD Candidates, Senior Lecturers, Consultants, Researchers) and Industry Experts .

The editors at Solutions Review have compiled this list of the best data analytics certifications online to consider acquiring. Data analytics is a data science. The purpose of data analytics is to generate insights from data by connecting patterns and trends with organizational goals. Comparing data assets against organizational hypotheses is a common use case of data analytics, and the practice tends to be focused on business and strategy. With this in mind, we've compiled this list of the best data analytics certifications from leading online professional education platforms and notable universities.

Java is one of the most common, in-demand computer programming languages owned by the Oracle Corporation. Our associates at Academy of Computing & Artificial Intelligence got together and after carefully analyzing the top must learn computer programming languages in 2020, we were able to conclude that Java is the 3rd most used programming language according to stackoverflow. Furthermore, java has an average salary of $102,000 according to indeed making it a widely used and highly applicable language. "Java is celebrating its 24th birthday this year and has been one of the most popular programming languages used for developing server-side applications. Java is a practical choice for developing Android apps as it can be used to create highly functional programs and platforms. This object-oriented programming language does not require a specific hardware infrastructure, is easily manageable, and has a good level of security. Moreover, it is easier to learn Java in comparison to languages such as C and C . No wonder, nearly 90 percent of Fortune 500 firms rely on Java for their desktop applications and backend development projects. Despite its industry age, the Java is incredibly stable and not heading for retirement anytime soon. This makes Java one of the most desirable languages among programmers in 2020."