The AZ-204 exam tests the ability of a candidate to accomplish the tasks such as develop Azure compute solutions, develop for Azure storage, implement Azure security, monitor, troubleshoot, and optimize Azure solutions, and connect to and consume Azure services and third-party services. uCertify is introducing the course Developing Solutions for Microsoft Azure to cater the needs of the candidate in an interactive and engaging way.
With uCertify’s course, you will be equipped with all the things needed for the preparation of the AZ-204 exam and also, you will be getting a live experience of developing solutions for Microsoft Azure. The course comes in handy as AZ-204 study guide with well descriptive interactive lessons containing knowledge checks, quizzes, flashcards, and glossary terms to get a detailed understanding of main technologies that Microsoft offers for deploying different kinds of solutions into Azure. The test preps present in the course consist of pre and post-assessment questions and AZ-204 practice test questions to keep a check on your preparation and knowledge. The performance labs will provide you with hands-on experience of Microsoft Azure.
Get your copy of uCertify’s course Developing Solutions for Microsoft Azure today and start learning!
Microsoft Power BI Data Analyst focuses on using Microsoft Power BI for data analysis. The PL-300 exam covers various topics such as getting data from different data sources, and profiling, cleaning, transforming, and loading the data, data modeling: designing, developing, and optimizing a data model, visualizing and analyzing data, such as creating reports and dashboards, as well as performing advanced analysis.
With uCertify’s course Power BI Data Analyst, you will be equipped with all the things needed for the preparation of Microsoft Power BI Data Analyst exam and also, you will be getting a live experience of data analysis in Power BI. The course has well descriptive interactive lessons containing knowledge checks, quizzes, flashcards, and glossary terms to get a detailed understanding of preparing, modeling, visualizing, and analyzing the data in Power BI. The test preps present in the course consist of pre and post-assessment questions and practice questions to keep a check on your preparation and knowledge. The performance labs will provide you with hands-on experience of Power BI to perform data analysis.
So what are you waiting for? Get your copy of uCertify’s course Power BI Data Analyst today and start learning!
Get the knowledge to use Python for building fast and better linear models and to deploy the resulting models in Python with uCertify’s course Regression Analysis with Python. Linear models have always been a prominent and relevant element of the body of knowledge in statistics, economics, and many other respectable quantitative fields of study.
uCertify’s course Regression Analysis with Python covers the following concepts in a detailed manner with live labs for a hands-on experience:
Regression – The Workhorse of Data Science
Approaching Simple Linear Regression
Multiple Regression in Action
Online and Batch Learning
Advanced Regression Methods
Real-world Applications for Regression Models
The course is addressed to Python developers with atleast a basic understanding of data science, statistics, and math. Though the course doesn’t require a previous background in data science or statistics, it can well address data scientists of any seniority who intend to learn how to best do regression analysis on a dataset. It has well descriptive interactive lessons containing pre and post-assessment questions, knowledge checks, quizzes, live labs, flashcards, and glossary terms to get a detailed understanding of the distinctive course.
So what are you waiting for? Get your copy of uCertify’s course Regression Analysis of Python today.
The AZ-500 exam deals with advanced topics that require candidates to have an excellent working knowledge of Azure security technologies. To get certified for the exam, candidates should understand how to manage Azure identity and access, implement Azure platform protection, manage Azure security operations, and secure Azure data and applications.
provides live labs, which give hands-on experience, and covers a detailed understanding of:
Implementing Azure security controls that protect identity, access, data, applications, and networks in cloud and hybrid environments as part of an end-to-end infrastructure.
Managing the security posture
Identifying and remediating vulnerabilities
Performing threat modeling
Implementing threat protection
Responding to security incident escalations
Infrastructure as code
Security operations processes
The course has well descriptive interactive lessons containing knowledge checks, quizzes, flashcards, and glossary terms to get a detailed understanding of the distinctive course. The test prep present in the course consists of pre and post-assessment questions and practice questions to keep a check on your preparation and knowledge. The performance labs will provide you with a hands-on experience of Microsoft Azure security technologies.Enroll yourself in uCertify’s course AZ-500 Microsoft Azure Security Technologies today.
Python is considered one of the best programming languages for analyzing big data fields due to its easy readability and statistical analysis capacity. The amount of data produced in the IT sector shares a big commodity part and is increasing at a rapid pace. This exploding data world asks for a programming language that is project-specific and looks after the ultimate goal of extracting useful information out of it. Big data analysis relies on python programming due to its simple coding and the ability to process and prolix tasks within a short time.
uCertify composes a full-fledged course named, Big Data Analysis with Python in a comprehension manner with all kinds of interactive tools like objective-based lessons, test preps, and live labs for a hands-on experience. The course enables you to sharpen your skills with simple, readable syntax that helps Big Data pros to focus on insights managing Big data, rather than wasting time in understanding technical nuances of the language. This course brings up the two optimum companions in a match as python offers libraries that are useful for data analytics, visualization, numerical computing, machine learning, and Big Data requires a lot of scientific computing and data analysis. The course sums up them in a manner that fulfills the various prototyping ideas, evolving your skills to run code faster while maintaining excellent transparency between code and execution. The course unlocks the vibrant range of job opportunities for the role of data analyst and polishes the ability to manage and design the reporting environment, including data sources, security, and metadata.
So it is high time to enroll yourself in the course to secure technical expertise in data storage structures, data mining, and data cleansing. It prepares you for troubleshooting the reporting database environment and reports. In conclusion, big data and python together provide a robust computational capability in big data analysis platforms.