Cedlearn | Best Software Training Institute in Hyderabad

Data Science Course DATA ANALYSIS AND MACHINE LEARNING TO EXTRACT INSIGHTS FROM THE DATA Data Science is part of the emerging technologies that are sought after by every industry, irrespective of its size and operations. Learn Data Science to analyse the data and create machine learning models for decision making. We at CEDLEARN believe in the project-based Hybrid Learning approach to convert knowledge into skills. Content: In today's data-driven world, harnessing the power of data science has become essential for businesses to thrive. From analyzing customer behavior to optimizing operational processes, data science offers a plethora of benefits across various industries. Let's delve into the world of data science, exploring its uses, benefits, and impact. Understanding Data Science: Data science is an interdisciplinary field that employs scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines expertise f...

  Data Analytics Course STATISTICAL MODELLING, TOOLS AND VISUALIZATION TO EXTRACT INFORMATION FROM DATA Cedlearn Data Analytics has been around for ages. However, with the new tools, methods and prominence of Data Science, it has come into the limelight. With the ever-increasing volume of data and interest among the organization to extract information, there has been increasing demand for Data Analytics. Learn all the required tools and techniques with no coding. DATA ANALYTICS COURSE Course Content: Introduction to Data Analytics: Understanding the basics of data analytics. Different types of data (structured, unstructured, semi-structured). Introduction to tools and technologies used in data analytics (e.g., Python, R, SQL, Excel). Data Collection and Cleaning: Methods for collecting data from various sources (databases, APIs, web scraping). Data cleaning techniques to handle missing values, outliers, and inconsistencies. Data Exploration and Visualization: Exploratory data analy...

 Data Analytics | Data Analytics Uses | What is Data Analytics     What is Data Analytics? Data analytics is the process of examining large datasets to uncover hidden patterns, correlations, trends, and other valuable insights. By leveraging various statistical and computational techniques, businesses can extract meaningful information from raw data to inform their strategies, optimize operations, and drive informed decision-making. Methodologies of Data Analytics: Data analytics encompasses various methodologies, including: Descriptive Analytics : Descriptive analytics focuses on summarizing historical data to understand what has happened in the past. This includes techniques such as data aggregation, summarization, and visualization. Diagnostic Analytics : Diagnostic analytics aims to determine why certain events occurred by examining historical data and identifying patterns or correlations. Root cause analysis and regression analysis are common techniques used in...

Azure/AWS DevOps Cours LEARN TO DESIGN, DEPLOY MANAGE AND MONITOR CLOUD-BASED APPLICATIONS AND GET PLACED. As a DevOps Engineer you are responsible for bridging the gap between the development and operations team ensuring smooth IT operations. Work with teams to enhance collaboration automate processes, deploy and manage code modifications to improve the overall efficiency of the software development lifecycle. Ensuring efficient IT operations and availability of applications to the clients is at most important for any organization. DevOps ensure proper communication and collaboration with teams to ensure proper deployment of application, managing changes in the code, implement and manage automated deployment pipelines for continuous integration and continuous deployment, etc. Maintenance of CI/CD pipelines to automate testing, integration and deployment of software would ensure continuous availability of application. The content of an AWS Azure DevOps course typically covers a range o...