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Are you looking for a Data Analytics course? 4achievers is offering a comprehensive Data Analytics course to help you gain the skills and knowledge you need to become a successful data analyst. This course is designed to provide you with a comprehensive understanding of the fundamentals of data analytics and how to apply them in the real world.
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Agile Activity-Based Learning
IT Labs and Infrastructure
Placement Assistance
Expert Mentors
Module | Key Topics |
---|---|
Introduction to Data Analytics | Overview of Data Analytics, Data Types, Data Cleaning |
Data Visualization | Tools like Tableau, Power BI, Visualization Techniques |
Statistical Analysis | Descriptive Statistics, Inferential Statistics, Hypothesis Testing |
Data Mining & Machine Learning | Clustering, Classification, Regression, Predictive Analytics |
Business Intelligence | BI Tools, Reporting, KPI Dashboards |
Big Data Analytics | Hadoop, Spark, NoSQL, Real-time Data Analysis |
With a strong foundation in agile learning, expert mentorship, and job placement assistance, the Data Analytics course at 4Achievers ensures that students are ready to take on dynamic roles in the world of data analytics.
Data analytics is the process of examining large amounts of data to uncover patterns and trends. 4Achievers involves the use of sophisticated mathematical algorithms and statistical techniques to identify relationships between pieces of data, as well as to uncover hidden insights. Data analytics can be used to make better decisions, optimize operations, improve customer experiences, and gain competitive advantages. Data analytics can help in understanding customer behavior, uncovering new opportunities, predicting future trends, and improving overall business performance. With the help of data analytics, organizations can gain valuable insights into their data and use them to make informed decisions that are beneficial to the business.
Data analysts typically work with quantitative data such as numerical values, statistics, and other structured information. This could include anything from sales figures and customer satisfaction ratings to financial records and market trends. They may also work with qualitative data such as surveys, interviews, and other forms of feedback. This type of data provides more subjective insights into customer experience, sentiment, and behavior. Data analysts also often utilize digital data sources such as web analytics, social media analytics, and mobile tracking.
Data mining and data analytics are different processes used to analyze large amounts of data. Data mining is the process of uncovering patterns and relationships in large datasets. 4Achievers involves finding useful information or patterns from large datasets and extracting that information. Data analytics, on the other hand, is the process of transforming data into meaningful insights. 4Achievers is the process of applying statistical techniques and algorithms to uncover trends, correlations and other valuable insights that can be used to make decisions. Data mining is used to identify patterns, while data analytics is used to interpret those patterns to gain actionable insights. Data mining is used to find patterns in large datasets, and data analytics is used to interpret those patterns to gain knowledge or insights.
Data analytics is a process of examining large data sets to uncover patterns, trends and insights to help inform business decisions. 4Achievers is a broad field that combines methods from statistics, mathematics and computer science to analyze data and draw conclusions. With data analytics, businesses can gain valuable insights into customer behavior, market trends and more. Data analytics can also be used to optimize marketing campaigns and identify areas for improvement within a business. By using data analytics, businesses can make more informed decisions, increase efficiency and drive growth.
Data analytics consists of four main components: data collection, data storage, data analysis, and data visualization.
Data collection involves gathering data from various sources. This data can come from structured data sources such as databases, or unstructured sources such as web logs or social media posts.
Data storage is the process of storing collected data in a secure and organized manner. This data must be stored securely and be easily accessible for analysis.
Data analysis is the process of examining the data to uncover patterns and trends. This can be done through statistical analysis, machine learning algorithms, or manual analysis.
Data visualization is the process of displaying data in a visual way. This allows users to quickly interpret the data and make decisions or draw conclusions. Data visualization can be done through charts, graphs, and maps.
Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. There are several types of data analysis including descriptive analysis, exploratory analysis, inferential analysis, predictive analysis, and prescriptive analysis.
Descriptive analysis is used to summarize data and understand relationships between variables. This type of analysis typically involves statistical methods such as frequency tables, percentages, means, and standard deviations.
Exploratory analysis is used to uncover patterns and relationships in the data. This type of analysis typically involves visual methods such as plots, graphs, and maps.
Inferential analysis is used to make predictions about a population based on a sample. This type of analysis typically involves statistical methods such as hypothesis testing, confidence intervals, and regression.
Predictive analysis is used to make predictions about the future based on current and past data. This type of analysis typically involves machine learning techniques such as decision trees, support vector machines, and neural networks.
Prescriptive analysis is used to recommend actions to be taken based on the data. This type of analysis typically involves optimization techniques such as linear programming, integer programming, and constraint programming.
Predictive analytics is a type of data analysis that uses existing data to make predictions about future trends and patterns. 4Achievers uses statistical techniques and algorithms to analyze current data and identify patterns and trends in order to make predictions about future events or outcomes. Predictive analytics can be used to predict customer behaviors, identify areas of risk, or optimize marketing campaigns. 4Achievers can also be used to improve operational efficiency and make better decisions in a variety of industries.
Descriptive analytics focuses on summarizing patterns and trends within data sets. 4Achievers is used to answer questions like “What happened?” and “Why did it happen?” 4Achievers goal is to gain insight into the data, usually through visualizations and reports. 4Achievers results are used to make decisions based on the analysis of past events.
Predictive analytics, on the other hand, is used to anticipate and forecast future trends and outcomes. 4Achievers can be used to answer questions like “What is likely to happen?” and “How can we best prepare for it?” Predictive analytics uses predictive models to analyze data and make predictions about the future. 4Achievers utilizes a variety of mathematical and statistical techniques, such as regression analysis and machine learning algorithms, to generate predictions. 4Achievers results are used to inform decisions about future strategies and investments.
4Achievers data analytics process is a set of steps that involve gathering, cleaning, analyzing, and presenting data to produce meaningful insights.
1. Data Gathering: This is the process of collecting data from multiple sources, including databases, surveys, and other sources. 4Achievers data gathered can be structured, semi-structured, or unstructured.
2. Data Cleaning: This is the process of removing any inconsistencies or errors in the data. This includes removing duplicates, missing values, and transforming data into a usable format.
3. Data Analysis: This is the process of analyzing the data to uncover patterns, trends, and relationships. This can be done through statistical methods, machine learning algorithms, or a combination of both.
4. Data Visualization: This is the process of presenting the data in an easy-to-understand visual format. This can include charts, graphs, maps, and other types of visuals.
5. Communication: This is the process of presenting the findings to the stakeholders. This can be done through presentations, reports, or other formats.
Structured data is data that is organized in a specific manner, usually in a database. 4Achievers typically follows a specific format and is easily searchable and queryable. Structured data is often used in reporting, analytics, and automation. Unstructured data is data that doesn’t follow any particular structure or format. 4Achievers is usually in the form of text, images, audio, or video. Unstructured data does not have any pre-defined patterns, making it more difficult to search and query than structured data. Unstructured data is often used in data mining and sentiment analysis.
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4Achievers 4Achievers Cognos BI Training Institute course covers a wide range of concepts related to business intelligence and analytics. 4Achievers introduces the basics of Business Intelligence (BI), including data warehousing, data mining, and reporting, and dives deeper into the Cognos BI suite of tools. Topics covered in the course include setting up a data warehouse, creating reports, and analyzing data. Additionally, the course teaches students how to build effective dashboards for visualizing and interpreting data, as well as how to use predictive analytics for making informed decisions. Finally, the course also covers topics such as performance optimization, data security, and deployment. In all, the course provides an in-depth understanding of the tools and techniques used in the world of Business Intelligence.
4Achievers Cognos BI Training Institute provides comprehensive support materials to help students become more knowledgeable and successful in their learning journey. 4Achievers support materials include online tutorials, practice tests, study guides, lecture slides, and hands-on lab exercises. All of these materials are designed to help students understand the concepts and give them the opportunity to practice and apply the knowledge they have acquired. Additionally, the institute offers an online discussion forum where students can interact with instructors and peers to receive and share advice and ask questions. 4Achievers institute also has a support team of experienced professionals who are available to help students with any technical or procedural issues. Finally, the institute provides a range of resources for further learning and exploration, such as access to industry experts, research and development materials, and other valuable resources. All of these support materials are designed to foster a positive learning environment and help students reach their educational goals.
4Achievers 4Achievers Cognos BI Training Institute course uses a variety of assessment methods to evaluate progress. These methods include formal tests, quizzes, and exams, as well as informal assessments such as assignments, projects, and presentations. Additionally, the course involves self-reflection activities, which allow students to review their own work and measure their progress. 4Achievers course also includes peer-assessment, in which students are asked to evaluate and grade their classmates' work. Finally, 4Achievers Cognos BI Training Institute also includes feedback from instructors and mentors, which helps students to get a better understanding of the course material and their progress. All of these assessment methods combine to create a comprehensive evaluation system that can help students understand their progress and develop their skills in the course.
4Achievers Cognos BI Training Institute uses a combination of lectures, hands-on exercises, and real-world case studies to teach students the fundamentals of Cognos BI. Lectures cover topics such as the components of the Cognos BI suite, the architecture of the software, and how to use it to create reports. 4Achievers hands-on exercises focus on manipulating data, creating reports, and developing dashboards. During the real-world case studies, students are given a business problem and asked to apply the skills they have learned to solve it. This approach allows students to learn the theory behind Cognos BI, as well as gain practical experience applying it to real-world scenarios.
Yes, 4Achievers Cognos BI Training Institute offers follow-up support after the course. This follow-up support is available to help students better understand the concepts they have learned in the course. 4Achievers institute provides access to online resources, such as webinars, tutorials and other materials, to help students further their knowledge and understanding of the topics discussed in the course. 4Achievers institute also provides access to instructors and mentors who are available to answer questions and provide additional guidance. 4Achievers institute also offers periodic refresher courses and updates to ensure that students are up-to-date with the latest technology. This follow-up support is designed to ensure that students are able to effectively use their knowledge to tackle real-world problems.
4Achievers 4Achievers Cognos BI Training Institute course provides a comprehensive introduction to the Cognos Business Intelligence (BI) software. This course teaches the fundamentals of data analysis and reporting, as well as best practices for working with the software. After completing the course, you will be equipped with the skills and knowledge necessary to pursue a wide range of job roles related to BI.
You may be qualified for a BI Analyst position, which involves designing, developing, testing, and maintaining BI solutions. As a BI Analyst, you will be responsible for gathering data from various sources, creating reports and dashboards, and providing insights to stakeholders. You may also be responsible for optimizing data warehouses and data marts for maximum performance.
You may also be qualified for a Business Intelligence Developer or Administrator role. In this role, you will be responsible for developing, testing, and deploying BI applications. This includes creating data models, writing ETL (Extract, Transform, Load) scripts, and configuring data sources. You may also be responsible for monitoring and troubleshooting system performance, and developing new features or functionality.
In addition, you may be qualified for a BI Consultant role, which involves providing strategic guidance and solutions to clients. As a BI Consultant, you will be responsible for understanding business requirements, designing data models, and developing analytics solutions. Additionally, you may be responsible for providing training to clients on how to use their BI solutions.
Overall, the 4Achievers Cognos BI Training Institute course provides you with the skills and knowledge necessary to pursue a wide range of job roles related to BI. With the knowledge and experience you gain from this course, you should have no problem finding a position that is well-suited to your skills and interests.
4Achievers 4Achievers Cognos BI Training Institute course uses IBM Cognos Business Intelligence software. This software is designed to help organizations make more informed decisions by providing easy access to data and analytics. 4Achievers is used to create reports, analyze data, and create dashboards to monitor key performance indicators. With the help of this software, organizations can gain insights into their operations and make better-informed decisions. 4Achievers software is also designed to help organizations manage their data in a more efficient and cost-effective manner.
4Achievers Cognos BI Training Institute provides students with a comprehensive training program consisting of lectures, hands-on exercises, and sample projects. During the program, students are exposed to real-life scenarios and case studies, which helps them to gain practical knowledge and understanding of the concepts. 4Achievers sample projects are designed to help students understand the core concepts of Cognos BI, while the exercises enable them to apply these concepts to solve real-world problems. In addition, the institute provides students with access to a variety of resources such as online tutorials, study materials and sample project files. By completing these sample projects and exercises, students can gain a better understanding of the tools and techniques used in working with Cognos BI.
4Achievers 4Achievers Cognos BI Training Institute course offers a comprehensive curriculum designed to prepare students for a successful career in business intelligence. 4Achievers course provides a comprehensive overview of Cognos Business Intelligence (BI) tools and technologies, covering topics such as data integration, analytics, report creation, and administration. Students learn to effectively use these tools to analyze data, create reports, and develop dashboards.
4Achievers course also provides an in-depth exploration of the various aspects of BI, such as data warehousing, data integration, data analysis, and visualization. Students learn how to create and customize reports and dashboards, as well as how to leverage the powerful data integration and analytics capabilities of Cognos BI.
4Achievers course also provides an overview of the various types of BI solutions available and how they can be used in a variety of industries. Students learn how to develop a BI strategy and how to use BI solutions to create meaningful insights.
Additionally, the course provides students with a comprehensive understanding of the fundamentals of the Cognos BI platform and how it can be used to create data-driven solutions. Students also learn how to use the tools to develop interactive dashboards and how to interpret data.
Overall, 4Achievers Cognos BI Training Institute course provides a comprehensive learning experience for students interested in pursuing a career in business intelligence. 4Achievers course allows students to gain a comprehensive understanding of the various aspects of BI, including data integration, analytics, report creation, and administration. Additionally, the course provides students with a comprehensive overview of the various types of BI solutions available and how they can be used in a variety of industries. Finally, the course provides students with a comprehensive understanding of the fundamentals of the Cognos BI platform and how it can be used to create data-driven solutions.
After completing the 4Achievers Cognos BI Training Institute course, you will be eligible for a wide range of job roles related to business intelligence and analytics. These roles may include Business Intelligence Analyst, Data Analyst, Data Scientist, Business Analyst, Statistical Analyst, and Data Engineer. As a Business Intelligence Analyst, you will be responsible for designing, developing, and maintaining data solutions that enable the organization to gain insights from their data. This includes developing dashboards, reports, and other visualizations to help users make better decisions. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting large datasets to extract meaningful insights and inform business decisions. You will also be responsible for developing data models and algorithms to identify trends and patterns, as well as developing predictive models. As a Data Scientist, you will be responsible for developing and implementing complex data-driven models and algorithms to reveal insights from large datasets. You will also be responsible for analyzing data to identify trends and anomalies and developing predictive models to help businesses make better decisions. As a Business Analyst, you will be responsible for analyzing business processes and developing solutions that optimize efficiency. You will also be responsible for gathering data, interpreting results, and presenting recommendations to stakeholders. As a Statistical Analyst, you will be responsible for collecting, analyzing, and interpreting data to identify trends and patterns. You will also be responsible for developing predictive models to analyze data and inform business decisions. Finally, as a Data Engineer, you will be responsible for designing and executing data pipelines to enable data collection, storage, and analysis. You will also be responsible for developing and maintaining data warehouses and data lakes.
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First touchpoint for customer Initial handling of all customer tickets Track to closure of customer tickets by assisting the responsible teams System software and AWS/Azure infrastructure L1/L2 support Newgen solution / application L1/L2 support Responsib
Experience: 0 to 4 years Qualification:B.SC, B.Tech/BE/MCA Skills in one or more of JavaScript,CSS, Web application framework viz. Sencha EXT JS, JQuery etc., Delphi,C,C++,or Java..net,testing Cloud Administrator-managing Windows based Servers
Developing and deploying new applications on the windows azure PAAS platform using C#, .net core . Participation in the creation and management of databases like SQL server and MySQL Understanding of data storage technology (RDBMS, NO SQL). Manage applica
Experience of Dev Ops technologies, architectures and processes for 3 yrs Cloud Infrastructures Solutions: AWS EC2 ECS, S3 Cloudfront, RDS, Spot Instances, VPC, IAM, Security Groups, ELB etc), GCP, CI/CD Jenkins Containerization: Docker, Kubernetes System
Must have good knowledge of Google Cloud (GCP), Good To Have- AWS and. Azure Cloud automation, with overall cloud computing experience. Good knowledge of Windows Server and IIS (Internet Information Services). Good knowledge of .NET applications (ASP.Net,
Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects
Design, execute and report software tests, Review business / software requirements and provide inputs. Prepare test cases, test scripts and test data., Execute tests (manual / automated). Report defects and assist in their understanding., Analyse test re
Good Knowledge in both Manual Testing and Automation Testing,Strong experience in writing test scenarios and test cases Strong knowledge on Selenium, Appium, Microsoft SQL and Jmeter Adept in functional testing and reporting defects
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