Data Science and Analytics

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.

This course aims to provide data engineers with the essential knowledge and skills required to construct and manage data processing systems on the Azure platform. This inclusive training program covers concepts and technologies pertaining to data engineering, including data ingestion, transformation, storage, and visualization.

This is a comprehensive course designed to equip learners with the essential skills and knowledge needed to effectively query and retrieve data using the Transact-SQL language hin the Microsoft SQL Server environment. It can be valuable for anyone who needs to write basic SQL or Transact-SQL queries.

If you work to change the business landscape in its entirety and achieve customer engagement, acceptance and loyalty for growth in revenue and market share, this certification will help you stay on track with utilizing the technological innovations in data science tools, methodologies and strategies.

If you are a coveted data scientist with proven excellence in his work and aim to further advance into the league of big data, preparing for and passing this certification exam will help you fit into bigger data science and data architect roles.

This course provides a fundamental knowledge to the core concepts and capabilities of data-related services in the Azure cloud platform. It covers essential topics such as data storage options, data processing technologies, and data security and privacy.

Power BI is Microsoft's business analytics platform. It's designed from the ground up to take mass sets of data and organize, analyze, and visualize it using live dashboards and interactive reports.

Designing and Implementing a Data Science solution on Azure (DP-100) course is designed for data scientists who want to enhance their skills in building and deploying machine learning models on Azure. They will also gain an understanding of responsible AI practices and how to optimize and manage machine learning models. By the end of the course, participants will be prepared to design and implement end-to-end data science solutions on the Azure platform.

This course is taught by an incredible team, which consists of two Stanford graduates, a former Google employee, and two former Flipkart Lead Analysts.

This 3-day course focuses on the Data Science training and helps the students learn about the planning and implementation of a big data strategy for a business. Besides the big data fundamentals, other important topics that you’ll learn include storing, managing, and analyzing unstructured data, choosing the right big data stores, processing large data sets, and more.

We should have a snappy take a gander at SQL. SQL (Structured Query Language) is an institutionalized programming language utilized for overseeing relational databases and performing different activities on the information in them.

Numerous associations use databases to store their most basic data: the data that deals with their everyday tasks.