4Achievers Institute is a leading Data Analytics Training Institute in Bangalore, offering an advanced and practical Data Analytics Training course. Our comprehensive curriculum is designed to provide students with a solid understanding of data analysis techniques, tools, and technologies. By the end of the course, students will be proficient in using tools like Excel, SQL, Python, R, Tableau, and Power BI to analyze data, generate insights, and make data-driven decisions.
At 4Achievers, we prioritize hands-on learning and industry exposure, allowing students to work on live projects and develop the skills necessary to excel in the data analytics field. Along with this, we offer placement assistance to help students secure jobs in top companies, and access to world-class IT labs equipped with the latest technology to foster effective learning.
4Achievers Institute goes beyond just teaching theory — we ensure that our students are job-ready by offering practical experience, personalized support, and industry-standard tools. Here's what we provide:
Students at 4Achievers get the opportunity to work on live projects that simulate real-world data analytics problems. These projects cover various aspects of data analysis, including data collection, data cleaning, predictive modeling, data visualization, and reporting.
Project Title | Objective | Outcome |
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Customer Segmentation Analysis | Analyze customer data to segment them based on purchasing behavior. | Learn clustering techniques and data-driven decision-making. |
Sales Forecasting | Build predictive models to forecast sales for a retail business. | Understand time series analysis and regression models. |
Social Media Sentiment Analysis | Analyze social media data to understand public sentiment on different topics. | Learn natural language processing (NLP) and sentiment analysis. |
Working on these live projects enables students to apply their knowledge to solve real-world problems, ensuring they are fully prepared to enter the job market.
4Achievers Institute offers strong placement assistance to help students find jobs after completing their Data Analytics Training. Our placement team works closely with students to ensure they are ready for interviews and can showcase their skills effectively.
Placement Assistance Features | Details |
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Resume Building | Personalized resume review to highlight key skills and projects. |
Interview Preparation | Mock interviews with industry professionals to improve interview skills. |
Job Referrals | Access to job openings from top companies in the analytics domain. |
Job Placement Support | Continuous support in securing positions in leading companies. |
Our placement assistance is designed to help students secure positions as data analysts, business analysts, and other analytics-related roles in top organizations.
At 4Achievers, students benefit from world-class IT labs equipped with the latest software and hardware for data analysis. These labs provide an environment where students can work on complex datasets, run machine learning algorithms, create interactive dashboards, and develop their analytical skills.
Lab Facility | Tools & Software | Benefits |
---|---|---|
Advanced Data Analytics Lab | Python, R, SQL, Excel, Tableau, Power BI | Access to all necessary tools for data preprocessing, analysis, and visualization. |
Machine Learning Lab | Scikit-learn, TensorFlow, Keras | Hands-on experience in machine learning model training and deployment. |
Visualization Lab | Tableau, Power BI, Matplotlib, Seaborn | Create interactive dashboards and data visualizations for decision-making. |
Our IT labs are designed to provide students with a professional-level environment where they can experiment and learn using the best tools available in the industry.
At 4Achievers, we are committed to delivering the best Data Analytics Training in Bangalore. Here are the reasons why we stand out as a top choice for aspiring data analysts:
Feature | Benefit |
---|---|
Industry-Relevant Curriculum | Learn from a curriculum that covers the latest tools and technologies used in data analytics. |
Hands-on Experience | Work on real-time data and live projects to develop practical skills. |
Experienced Trainers | Learn from instructors with years of experience in the data analytics field. |
Placement Assistance | Get personalized support in finding jobs with top companies. |
State-of-the-Art IT Labs | Access world-class IT labs with the latest software tools. |
Flexible Training Options | Choose from regular, weekend, and online classes based on your schedule. |
The Data Analytics Training at 4Achievers covers a wide range of topics in the field of data analysis, ensuring that students are equipped with both the technical and analytical skills required for a successful career. Below is a breakdown of the modules:
Module | Topics Covered | Duration |
---|---|---|
Introduction to Data Analytics | Basics of data analytics, tools, and techniques. | 2 Weeks |
Data Preprocessing and Cleaning | Data wrangling, missing values, data normalization. | 3 Weeks |
Data Visualization | Creating visualizations using Tableau, Power BI, and Python libraries. | 2 Weeks |
Statistics for Data Analytics | Descriptive statistics, probability distributions, hypothesis testing. | 3 Weeks |
Machine Learning | Supervised and unsupervised learning, classification, regression. | 4 Weeks |
Advanced Analytics & Deployment | Time series analysis, predictive analytics, deploying models. | 4 Weeks |
Our students have gone on to secure positions at top companies across industries. Here are some of their experiences:
At 4Achievers Institute, we integrate Agile methodologies into our Data Analytics Training program to ensure that our students not only learn technical skills but also gain the experience of working in a dynamic, collaborative, and iterative environment—just like in the real-world industry. By applying Agile principles, we foster a hands-on learning experience where students can actively participate in data analysis projects, engage in continuous improvement, and build the skills needed for a career in data analytics.
Agile activities such as sprints, standups, retrospectives, and pair programming are incorporated into the Data Analytics Training to help students stay focused, collaborate effectively, and track their progress. These practices help create a fast-paced, results-driven learning environment while also emphasizing teamwork, communication, and adaptability.
In Agile, sprints are short, time-boxed periods where specific tasks are completed. During each Data Analytics Training sprint at 4Achievers, students focus on a key module or concept, such as data cleaning, data visualization, or predictive modeling. The sprint's goal is to complete the tasks within the allotted time, allowing students to achieve tangible results each week.
Sprint | Focus Area | Objective |
---|---|---|
Sprint 1 | Data Collection and Preprocessing | Learn to clean, normalize, and transform raw data for analysis. |
Sprint 2 | Exploratory Data Analysis (EDA) | Analyze datasets visually and statistically to find patterns. |
Sprint 3 | Data Visualization with Tableau and Power BI | Create interactive dashboards and reports for data insights. |
Sprint 4 | Machine Learning Algorithms | Apply supervised and unsupervised learning algorithms. |
Sprint 5 | Predictive Analytics and Model Evaluation | Build and test predictive models using real-world data. |
At the end of each sprint, students present their work during a Sprint Review and discuss areas for improvement in the Sprint Retrospective.
Daily standups are short, focused meetings that help track each student's progress. During the Data Analytics Training at 4Achievers, students participate in daily standups where they share:
This practice promotes accountability and team collaboration, ensuring that everyone is aligned on the goals of the day and can seek help from peers or instructors when necessary.
Standup Activity | Purpose | Benefit |
---|---|---|
Progress Update | Discuss tasks completed and next steps. | Keeps everyone informed and aligned. |
Challenges/Blockers | Identify obstacles preventing progress. | Encourages problem-solving and peer support. |
Daily Goals | Share the focus of the day's work. | Helps students stay focused and productive. |
In Agile, pair programming is a technique where two students work together on a task. One student is the "driver" (who writes the code), while the other is the "navigator" (who reviews and provides feedback). This technique is highly effective in the Data Analytics Training program at 4Achievers because it allows students to learn from each other, improve their coding practices, and tackle complex problems together.
Pair Programming Activity | Objective | Outcome |
---|---|---|
Data Cleaning | Collaborate to preprocess data and handle missing values. | Develop a deeper understanding of data quality issues. |
Model Evaluation | Work together to evaluate model accuracy and performance. | Learn to assess machine learning models effectively. |
Visualization Design | Build interactive dashboards and visualizations. | Improve knowledge of tools like Tableau and Power BI. |
Pair programming enhances communication, problem-solving skills, and code quality by allowing students to discuss and troubleshoot issues together in real-time.
After each sprint, students participate in a Sprint Retrospective to reflect on the work completed and discuss what went well and what could be improved. In the Data Analytics Training at 4Achievers, retrospectives help students evaluate their progress, improve their strategies, and adjust their learning approach for the next sprint.
Retrospective Questions | Purpose | Benefit |
---|---|---|
What went well in this sprint? | Celebrate successes and highlight areas of strength. | Reinforce positive behaviors and focus on successful strategies. |
What didn’t go as planned? | Identify challenges, bottlenecks, or tasks that took longer than expected. | Address any roadblocks early and work on strategies for improvement. |
What can we improve next time? | Discuss ways to optimize learning, task management, and time efficiency. | Encourage continuous learning and self-improvement. |
The retrospective fosters a growth mindset and ensures that students are continuously refining their skills and workflows.
Kanban boards are used to visually manage tasks throughout the sprint. At 4Achievers, students use Kanban boards to track their progress on individual tasks during the Data Analytics Training program. Each student organizes their tasks into To Do, In Progress, and Done columns to keep track of their work.
Kanban Column | Tasks | Outcome |
---|---|---|
To Do | Data cleaning, exploratory data analysis, model training. | Helps students plan and prioritize tasks effectively. |
In Progress | Model evaluation, feature engineering, visualization. | Allows students to track tasks they are currently working on. |
Done | Completed reports, working machine learning models, final presentations. | Provides a clear overview of completed work. |
Using Kanban boards promotes task organization, helps prevent procrastination, and ensures students are continuously making progress on their assignments.
Integrating Agile practices into our Data Analytics Training program offers several advantages for students, including:
Agile Activity | Benefit |
---|---|
Sprints | Helps students work towards clear goals and track progress effectively. |
Daily Standups | Improves communication, accountability, and provides an opportunity for peer support. |
Pair Programming | Enhances collaborative learning, improves code quality, and encourages real-time problem solving. |
Sprint Retrospectives | Encourages self-reflection and continuous improvement, helping students stay on track. |
Kanban Boards | Improves task management, ensures organized workflow, and prevents task overload. |
At 4Achievers Institute, we ensure that students gain more than just technical expertise in data analytics. By incorporating Agile practices such as sprints, standups, pair programming, and retrospectives into our Data Analytics Training, we create a dynamic and effective learning environment that simulates real-world data analytics projects. These practices not only help students acquire valuable technical skills but also teach them important soft skills like teamwork, problem-solving, and adaptability—key elements for success in the data analytics field.
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4Achievers Data Analytics course in Bangalore is divided into two parts: the first part covers the basics of data analytics, such as data collection, data cleaning, data visualization, and data analysis. 4Achievers second part of the course focuses on the application of data analytics tools and techniques to solve real-world problems.
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4Achievers are delighted to announce our next application cycle for the 4Achievers Data Analytics Summer internship program in Bangalore, India. We are looking for talented and passionate individuals who share our vision for transforming India's workforce by uniting people across industries and understanding what makes them tick.
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If you're interested in an interesting Winter internship and getting hands-on experience working on cutting-edge technologies, then 4Achievers is the company for you. We are currently accepting applications for a Data Analytics winter internship in Bangalore 2024. 4Achievers interns will gain invaluable experience working with some of the world's leading companies, including Google, Microsoft, and Facebook. They will work on real-world problems involving big data analytics and machine learning, gaining an understanding of how these technologies can be applied to improve business processes and operations.
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Data visualization is an important tool for understanding data and communicating information. 4Achievers helps to clearly present insights and trends in data in a way that is easy to understand and interpret. 4Achievers advantages of data visualization include:
1. Improved decision making: Data visualization helps to identify patterns, correlations, and trends in data which can be used to improve decision making processes.
2. Increased understanding: Data visualization makes complex data easier to understand and interpret. This enables users to more quickly identify meaningful insights and make better decisions.
3. Enhanced communication: Data visualization provides a visual representation of data which can be used to communicate information more effectively. This can be especially useful in communicating to stakeholders.
4. Reduced time: Data visualization enables users to more quickly identify patterns and trends in data which can reduce the amount of time spent analyzing data.
5. Improved accuracy: Data visualization can help to identify errors and inconsistencies in data which can improve accuracy and reliability.
Data visualization is the process of using charts, graphs, and other visuals to represent and display data. There are several types of charts and graphs used to represent data in a visual way:
Bar Chart: A bar chart is a chart with rectangular bars of lengths proportional to the values represented. This type of chart is often used for comparisons between different categories.
Pie Chart: A pie chart is a circular chart used to represent data in a graphical form. 4Achievers is divided into slices to show relative sizes of data.
Line Chart: A line chart is a type of chart which displays information as a series of data points connected by straight lines. 4Achievers is commonly used to track changes over time.
Scatter Plot: A scatter plot is a type of chart that displays data points in a two-dimensional plane. 4Achievers is used to show the relationship between two variables.
Histogram: A histogram is a type of chart which uses bars of different heights to represent data. 4Achievers is used to display the distribution of a dataset.
Flow Chart: A flow chart is a type of diagram which displays a series of steps or tasks. 4Achievers is used to show the sequence of steps in a process.
Heat Map: A heat map is a type of chart which uses colors to represent data. 4Achievers is used to show the intensity of data at different points.
Natural language processing (NLP) is a branch of Artificial Intelligence (AI) that deals with the ability of computers to understand and analyze human language. NLP technologies enable machines to interpret and interact with human language to perform specific tasks, such as analyzing text, recognizing speech, understanding intent, and producing natural-sounding responses. NLP can help machines to process vast amounts of information and perform complex tasks, such as automatic summarization, translation, question answering, and more.
Text mining and sentiment analysis are powerful tools for understanding and analyzing large amounts of textual data. By using these techniques, businesses and researchers can quickly and easily extract meaningful insights from large amounts of unstructured data. Text mining and sentiment analysis can be used to uncover customer sentiment, identify trends, and track customer behavior. For businesses, this data can be invaluable in making informed decisions about product design, marketing campaigns, customer service initiatives, and more. Additionally, text mining and sentiment analysis can be used to analyze customer feedback and reviews, which can help identify areas of improvement and increase customer satisfaction. Furthermore, these techniques can be used to detect potential fraud, uncover potential regulatory issues, and monitor brand reputation. In short, text mining and sentiment analysis provide a powerful toolset for businesses to uncover information and gain valuable insights from large amounts of textual data.
Deep learning is a subset of machine learning that uses artificial neural networks to build models of data. Deep learning algorithms are capable of learning complex relationships from data, and are more accurate than traditional machine learning algorithms. Deep learning is particularly useful for tasks that involve large amounts of data, such as image recognition and natural language processing. Deep learning algorithms are also able to learn from their mistakes, meaning that they can improve their performance over time. In comparison, traditional machine learning algorithms rely on more basic techniques, such as linear regression and decision trees, which are limited in their ability to learn complex relationships from data.
4Achievers different types of algorithms used in machine learning are Supervised Learning, Unsupervised Learning, Semi-Supervised Learning, Reinforcement Learning, and Bayesian Learning. Supervised learning algorithms are used for classification and regression tasks and involve using labeled data to identify patterns in the data. Unsupervised learning algorithms are used to discover patterns in data without the use of labels. Semi-supervised learning algorithms make use of both labeled and unlabeled data to identify patterns. Reinforcement learning algorithms use a reward system to learn the best decisions or actions in a given situation. Bayesian learning algorithms use probability theory to infer the best decision or action in a given situation.
Artificial Neural Networks (ANNs) and Deep Learning are two different approaches to machine learning. ANNs are a type of machine learning algorithm modeled after the structure and function of the human brain, with interconnected layers of artificial “neurons” that are able to learn from and make decisions based on their environment. Deep Learning is a subset of ANNs that utilizes multiple layers of artificial neurons to build models of data and make predictions. Deep Learning can be used to address more complex tasks and achieve higher levels of accuracy than traditional ANNs. Deep Learning also allows for more efficient training of the networks, as well as being able to handle larger datasets than traditional ANNs. In short, ANNs are the more general approach to machine learning while Deep Learning is a more advanced, specialized approach that is typically used to achieve higher levels of accuracy.
Clustering and classification are both methods used to organize and analyze data, but they are different in terms of their overall goals. Clustering is a process of grouping objects together based on similarities, while classification is a process of assigning labels to objects based on their characteristics. Clustering does not use prior knowledge of the data to determine the groupings, but instead uses a set of metrics to determine which objects should be grouped together. Classification, on the other hand, uses existing knowledge of the data to determine which labels should be assigned to which objects. Clustering is generally used for exploratory data analysis and is used to discover patterns in the data, while classification is used to make predictions about data by determining which objects belong to which group.
Data mining and data analytics are closely related disciplines, as they both involve collecting and analyzing data to better understand patterns, trends, and relationships. Data mining is the process of discovering patterns in large data sets, while data analytics is the application of data mining techniques to gain insights and improve decision-making. Data mining uses algorithms and other statistical techniques to uncover hidden insights within data, while data analytics is the practice of using data mining to gain actionable insights and to improve business processes. Data mining and data analytics can be used in tandem to gain a deeper understanding of data and to make better decisions.
A/B testing is a method of comparing two versions of a web page or app to see which one performs better. 4Achievers is a controlled experiment with two variants, A and B, which are presented to users at the same time. 4Achievers performance of each variant is measured and analyzed to determine which variant is more effective in achieving a desired outcome. A/B testing is an important tool in the optimization of user experience, as it helps to identify what works best for a given audience. By testing different versions of a web page or app, companies can gain insight into which design elements are most effective in converting visitors into customers or engaging users. A/B testing also helps to identify areas of improvement and provides data-driven insights that can be used to make informed decisions.
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No, 4Achievers Data Analytics Training Institute does not provide internships abroad. This institute focuses mainly on providing online training to individuals in the field of Data Analytics, Machine Learning, Big Data, and Artificial Intelligence. This institute helps its students to learn the skills necessary to succeed in the competitive world of data analytics, and does not offer internships abroad. 4Achievers institute also provides a range of courses for both experienced professionals and those just starting out in the field. 4Achievers practical knowledge gained from these courses can be used to further a career in data analytics, without the need for an internship abroad.
At 4Achievers Data Analytics Training Institute, we offer excellent customer service and technical support. 4Achievers team of experts is always available to help with any queries or technical issues you may have. 4Achievers provide our students with a user-friendly platform that makes it easy to access lectures, tutorials, and other resources. 4Achievers also have an online support team that is available 24/7 to help with any technical issues. Additionally, we offer several resources such as video tutorials and FAQs to help our students make the most of their course. 4Achievers strive to ensure that our students are getting the most out of their data analytics training.
4Achievers 4Achievers Data Analytics Training Institute provides students with numerous resources to practice and hone their data analytics skills. Students have access to a variety of online tutorials and webinars to help them gain a better understanding of the subject. They also have access to practice datasets and exercises to help them apply their skills and refine their knowledge. Furthermore, the institute has a dedicated team of experts who are available to answer questions and provide guidance. This helps students gain an even more comprehensive understanding of the subject.
4Achievers 4Achievers Data Analytics Training Institute provides comprehensive career advice for those interested in data analytics. 4Achievers courses and training programs equip individuals with the necessary knowledge and skills to become a successful data analyst. 4Achievers provide advice on how to develop a career in data analytics, from understanding the fundamentals of the field to exploring job opportunities in the industry. 4Achievers also provide guidance on how to create a successful resume and cover letter, how to network effectively and how to excel in interviews. Furthermore, we offer advice on how to stay up to date on the latest trends and technologies in the data analytics field and how to continue developing knowledge and skills. 4Achievers career advice includes tips on how to stay organized and motivated, and how to develop a successful data analytics career. Additionally, we provide guidance on how to use the skills and knowledge gained through our courses and training programs to grow professionally and advance in the data analytics industry.
Yes, 4Achievers Data Analytics Training Institute provides guidance on interview preparation. They have a dedicated team of experienced professionals who help candidates to prepare for interviews. They provide advice on how to make a good impression on the interviewer, how to answer questions, and how to make sure one is well-prepared for the interview. They also provide tips on how to dress for the interview, how to be confident, and how to stay calm and composed during the interview. Furthermore, they provide mock interviews that help candidates to get familiarized with the interview process and to practice answering questions. This helps the candidates to be more confident and to do better in the actual interview. Overall, 4Achievers offers comprehensive guidance and support for interview preparation.
4Achievers 4Achievers Data Analytics Training Institute offers a variety of short-term courses designed to help learners gain an understanding of the fundamentals of data analytics. These courses provide learners with an introduction to the principles of data analytics and help them to develop the necessary skills to become a successful data analyst. 4Achievers courses are designed to be completed within a short period of time and are tailored to give learners the knowledge they need to make informed decisions based on data. These courses provide an overview of the different components of data analytics such as data collection, data analysis, data visualization, data mining, and machine learning. They also provide learners with the opportunity to apply their newly acquired knowledge in a practical setting and to gain a better understanding of the industry. 4Achievers courses are taught by experienced data analysts and provide a comprehensive understanding of the field of data analytics.
Yes, the 4Achievers Data Analytics Training Institute provides job search guidance to their students. They offer career guidance services to their students to help them in their job search. They provide tips on how to make a good resume, networking, interview preparation and other job search related information. They also provide job search assistance by helping the students to understand the job market, and providing them with resources to find job openings. Furthermore, the institute also offers career planning guidance, which helps the students identify their career goals and develop a plan to reach them. Additionally, the institute has a dedicated team of professionals who are available to help students with their job search, offering job search advice and direction. Finally, the institute has ties with recruiters and employers, which can be beneficial to students in their job search.
4Achievers Data Analytics Training Institute provides a range of support for self-learning. 4Achievers institute provides regular sessions and workshops to help learners understand the concepts better and to help them develop their analytical skills. 4Achievers also provides online resources such as video lectures, webinars, tutorials, reference books and study materials. Additionally, the institute also provides guidance from experienced professionals and trainers to help learners understand the concepts better and to enhance their analytical skills. Furthermore, the institute provides personalized guidance to help learners gain a better understanding of the subject and to help them build their knowledge base. Lastly, the institute provides a platform to connect with other learners and professionals to get insights and advice on the subject. All these features make 4Achievers Data Analytics Training Institute a great resource for self-learning.
At 4Achievers Data Analytics Training Institute, you can get feedback on your progress from your instructors as well as from your peers. Your instructor will be able to provide you with a thorough review of your progress so far, and will help you understand what areas need more focus and how to improve. Your peers can also provide valuable feedback, as they can offer their own experiences and insights into how you can improve. Additionally, the institute provides a comprehensive online platform to track your progress and compare your results with other students. This can be a great way to get an understanding of your strengths and weaknesses, and to identify areas for improvement. Overall, the institute provides a variety of ways to get feedback on your progress, so that you can make the most of your training.
4Achievers Data Analytics Training Institute provides a range of career development resources to help students succeed in their chosen field. Through their online platform, they offer a range of tutorials, webinars and seminars that can help students gain the necessary skills and knowledge to be successful in the data analytics field. In addition, they provide a range of industry contacts and job opportunities to help students reach their career goals. 4Achievers also offers mentoring and networking opportunities which can help students refine their skills in data analytics and gain valuable insights from industry professionals. These resources can prove invaluable for students looking to start a career in the data analytics field.
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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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