#Etl testing interview questions

[coochiew]

How to Ace a Data Engineering Interview: Tips & Common Questions

The demand for data engineers is growing rapidly, and landing a job in this field requires thorough preparation. If you're aspiring to become a data engineer, knowing what to expect in an interview can help you stand out. Whether you're preparing for your first data engineering role or aiming for a more advanced position, this guide will provide essential tips and common interview questions to help you succeed. If you're in Bangalore, enrolling in a Data Engineering Course in Hebbal, Data Engineering Course in Indira Nagar, or Data Engineering Course in Jayanagar can significantly boost your chances of success by providing structured learning and hands-on experience.

Understanding the Data Engineering Interview Process

Data engineering interviews typically consist of multiple rounds, including:

Screening Round – A recruiter assesses your background and experience.

Technical Round – Tests your knowledge of SQL, databases, data pipelines, and cloud computing.

Coding Challenge – A take-home or live coding test to evaluate your problem-solving abilities.

System Design Interview – Focuses on designing scalable data architectures.

Behavioral Round – Assesses your teamwork, problem-solving approach, and communication skills.

Essential Tips to Ace Your Data Engineering Interview

1. Master SQL and Database Concepts

SQL is the backbone of data engineering. Be prepared to write complex queries and optimize database performance. Some important topics include:

Joins, CTEs, and Window Functions

Indexing and Query Optimization

Data Partitioning and Sharding

Normalization and Denormalization

Practice using platforms like LeetCode, HackerRank, and Mode Analytics to refine your SQL skills. If you need structured training, consider a Data Engineering Course in Indira Nagar for in-depth SQL and database learning.

2. Strengthen Your Python and Coding Skills

Most data engineering roles require Python expertise. Be comfortable with:

Pandas and NumPy for data manipulation

Writing efficient ETL scripts

Automating workflows with Python

Additionally, learning Scala and Java can be beneficial, especially for working with Apache Spark.

3. Gain Proficiency in Big Data Technologies

Many companies deal with large-scale data processing. Be prepared to discuss and work with:

Hadoop and Spark for distributed computing

Apache Airflow for workflow orchestration

Kafka for real-time data streaming

Enrolling in a Data Engineering Course in Jayanagar can provide hands-on experience with these technologies.

4. Understand Data Pipeline Architecture and ETL Processes

Expect questions on designing scalable and efficient ETL pipelines. Key topics include:

Extracting data from multiple sources

Transforming and cleaning data efficiently

Loading data into warehouses like Redshift, Snowflake, or BigQuery

5. Familiarize Yourself with Cloud Platforms

Most data engineering roles require cloud computing expertise. Gain hands-on experience with:

AWS (S3, Glue, Redshift, Lambda)

Google Cloud Platform (BigQuery, Dataflow)

Azure (Data Factory, Synapse Analytics)

A Data Engineering Course in Hebbal can help you get hands-on experience with cloud-based tools.

6. Practice System Design and Scalability

Data engineering interviews often include system design questions. Be prepared to:

Design a scalable data warehouse architecture

Optimize data processing pipelines

Choose between batch and real-time data processing

7. Prepare for Behavioral Questions

Companies assess your ability to work in a team, handle challenges, and solve problems. Practice answering:

Describe a challenging data engineering project you worked on.

How do you handle conflicts in a team?

How do you ensure data quality in a large dataset?

Common Data Engineering Interview Questions

Here are some frequently asked questions:

SQL Questions:

Write a SQL query to find duplicate records in a table.

How would you optimize a slow-running query?

Explain the difference between partitioning and indexing.

Coding Questions: 4. Write a Python script to process a large CSV file efficiently. 5. How would you implement a data deduplication algorithm? 6. Explain how you would design an ETL pipeline for a streaming dataset.

Big Data & Cloud Questions: 7. How does Apache Kafka handle message durability? 8. Compare Hadoop and Spark for large-scale data processing. 9. How would you choose between AWS Redshift and Google BigQuery?

System Design Questions: 10. Design a data pipeline for an e-commerce company that processes user activity logs. 11. How would you architect a real-time recommendation system? 12. What are the best practices for data governance in a data lake?

Final Thoughts

Acing a data engineering interview requires a mix of technical expertise, problem-solving skills, and practical experience. By focusing on SQL, coding, big data tools, and cloud computing, you can confidently approach your interview. If you’re looking for structured learning and practical exposure, enrolling in a Data Engineering Course in Hebbal, Data Engineering Course in Indira Nagar, or Data Engineering Course in Jayanagar can provide the necessary training to excel in your interviews and secure a high-paying data engineering job.

[drax0001]

How to Prepare for Data Analytics Interviews

Preparing for a data analytics interview can feel overwhelming, but with the right approach, you can ace it. Here are some practical tips to help you succeed:

1. Understand the Role

Read the job description carefully to know the skills and tools required.

Research the company’s industry, products, and services to tailor your responses.

2. Master the Fundamentals

Brush up on statistics, probability, and data visualization principles.

Be clear on concepts like correlation vs. causation, regression analysis, and hypothesis testing.

3. Get Hands-On with Tools

Practice using tools like Excel, SQL, Python, R, or Tableau.

Be ready to demonstrate your ability to manipulate and analyze data effectively.

4. Prepare for Technical Questions

Expect questions on SQL queries, data wrangling, and ETL processes.

Practice coding challenges on platforms like HackerRank or LeetCode.

5. Work on Business Acumen

Understand how data drives decision-making in businesses.

Practice interpreting data in the context of business goals and challenges.

6. Review Your Past Projects

Be prepared to discuss your past projects in detail.

Highlight the problem, your approach, tools used, and the impact of your analysis.

7. Focus on Soft Skills

Develop the ability to explain complex data insights to non-technical stakeholders.

Practice answering behavioral questions using the STAR method (Situation, Task, Action, Result).

8. Prepare for Case Studies

Practice solving case studies or real-world data problems.

Structure your response logically and explain your thought process.

9. Stay Updated

Keep up with industry trends, emerging tools, and best practices in data analytics.

Read blogs, attend webinars, or take short courses to stay current.

10. Mock Interviews

Participate in mock interviews with peers or mentors.

Get feedback to improve your responses and build confidence.

By focusing on these areas and practicing consistently, you’ll increase your chances of success in data analytics interviews. Good luck! 🚀

Would you like me to expand on any of these points?

[hammadchauhdary]

Mastering the Amazon Business Analyst Interview: Strategies for 2024

Securing a position as an Amazon Business Analyst is a coveted goal for many professionals. The role, pivotal in Amazon's data-driven decision-making, requires a blend of technical acumen and strategic insight. Preparing for this interview involves understanding the role’s responsibilities, mastering essential skills, and aligning with Amazon’s leadership principles. Here’s a comprehensive guide to help you navigate the intricacies of the Amazon Business Analyst interview process.

Understanding the Role and Responsibilities

Amazon Business Analysts are integral to shaping the company’s future through data analysis and strategic decision-making. This role requires collaboration across various teams, including operations, finance, retail, and technical divisions. Analysts work on identifying opportunities, developing business cases, and driving improvements by analyzing large volumes of data. The position involves creating and maintaining solution artifacts that enhance business efficiency through metrics, reporting dashboards, and automated processes.

Essential Skills and Qualifications

To excel in this role, a blend of education and experience is crucial. A bachelor's degree in finance, economics, operations, engineering, or a related field is a standard requirement, while an MBA or higher degree can provide a competitive edge. Practical experience of at least two years in relevant fields, proficiency in Excel (including VBA, pivot tables, and array functions), and familiarity with data visualization tools like Tableau are essential. Additionally, candidates should have strong analytical and problem-solving abilities, capable of conducting both quantitative and qualitative analysis.

The Interview Process

The Amazon Business Analyst interview process is multi-staged and rigorous:

Initial Screening: This includes a resume review and a phone screen with a recruiter or hiring manager, focusing on qualifications and interest in the role.Technical Round: Candidates are tested on their proficiency in SQL, business case analysis, and statistical methods. This stage may include live coding challenges and scenario-based questions.Hiring Manager Interview: This round assesses both technical and non-technical skills through case studies and behavioral questions.Final Loop: The final stage involves multiple interviews with team members, evaluating technical skills, alignment with leadership principles, and cultural fit.Preparation StrategiesTechnical ProficiencySQL Skills: Ensure a solid understanding of SQL, including complex queries and optimization techniques. Practice with real-world scenarios to demonstrate practical application.Data Visualization: Be proficient in tools like Tableau and Excel. Prepare to create and explain impactful data visualizations.ETL Processes: Understand ETL concepts and tools, and be ready to discuss how you’ve implemented these in past roles.Behavioral Questions

Amazon’s leadership principles are core to its culture. Prepare examples from your experience that demonstrate principles like "Customer Obsession," "Ownership," and "Dive Deep." Use the STAR method (Situation, Task, Action, Result) to structure your responses, ensuring they are clear and concise.

Case Studies

Approach case studies methodically:

Understand the Case: Grasp the scenario and objectives thoroughly.Organize Information: Develop a framework to address the problem logically.Solve the Case: Apply both quantitative and qualitative methods.Summarize and Recommend: Conclude with clear recommendations and justifications.Post-Interview Strategy

After the interview, send a thank-you email expressing gratitude and reiterating your interest in the role. If feedback is provided, use it to refine your preparation for future opportunities.

Conclusion

The journey to becoming an Amazon Business Analyst is demanding but rewarding. By mastering the technical skills, understanding Amazon’s culture, and preparing strategically, you can enhance your chances of success. This role offers a unique opportunity to contribute to one of the world’s leading tech companies, making a significant impact through data-driven insights and strategic analysis.

For more detailed guidance, visit the full article here.

[sapalogydiitalmarketing]

TOP 25 DATA ANALYTICS INTERVIEW QUESTIONS AND ANSWERS FOR 2024 SIMPLE AND BEST FORMAT

1. What is data analytics, and why is it important?

2. Differentiate between structured and unstructured data.

Answer: Structured data is organized and easily searchable (e.g., databases), while unstructured data lacks a predefined data model (e.g., text documents, images). Analytics tools handle structured data more efficiently.

3. Explain the significance of the “Data Quality” in analytics.

4. What is the ETL process in data analytics?

Answer: Extract, Transform, Load (ETL) is the process of extracting data from various sources, transforming it into a consistent format, and loading it into a data warehouse for analysis.

5. Define data normalization.

Answer: Data normalization is the process of organizing data in a database efficiently. It reduces data redundancy and ensures data integrity by minimizing duplicate information.

6. How does regression analysis work in data analytics?

7. Explain the concept of clustering.

Answer: Clustering involves grouping similar data points together. It’s used to identify patterns and relationships in data, helping in segmentation and targeted decision-making.

8. Differentiate between supervised and unsupervised learning.

Answer: Supervised learning involves training a model with labeled data, while unsupervised learning uses unlabeled data to find patterns and relationships without predefined outputs.

9. What is the purpose of A/B testing in analytics?

10. Explain the term “Big Data.”

Answer: Big Data refers to large and complex datasets that traditional data processing tools can’t handle. It involves processing, analyzing, and extracting valuable insights from vast amounts of varied data.

11. How does data visualization contribute to analytics?

Answer: Data visualization presents complex information in graphical or pictorial formats, making it easier to understand trends, patterns, and insights within the data.

12. What are outliers in data analysis?

13. Explain the concept of a data warehouse.

Answer: A data warehouse is a centralized repository that stores data from various sources. It is designed for query and analysis, facilitating reporting and decision-making processes.

14. Describe the difference between data mining and data profiling.

15. What is the role of a key performance indicator (KPI) in analytics?

Answer: KPIs are metrics used to evaluate the performance of a business. They help organizations measure progress toward goals and make informed decisions based on specific criteria.

16. How does the Pareto Principle apply to data analytics?

Answer: The Pareto Principle, or the 80/20 rule, states that roughly 80% of effects come from 20% of causes. In analytics, it suggests focusing efforts on the most impactful factors.

17. Discuss the importance of data security in analytics.

Answer: Data security is crucial to protect sensitive information from unauthorized access or breaches. It ensures the integrity and confidentiality of data, especially when dealing with sensitive business data.

18. What is a decision tree in the context of data analytics?

Answer: A decision tree is a graphical representation of decisions and their possible consequences. It’s used in machine learning for classification and regression analysis.

19. Explain the concept of cross-validation in machine learning.

Answer: Cross-validation involves dividing a dataset into subsets, training the model on some, and validating it on others. It helps assess a model’s performance and generalizability.

20. How does time-series analysis contribute to forecasting in analytics?

Answer: Time-series analysis examines data points collected over time to identify patterns and trends. It’s crucial for forecasting future values and making informed decisions.

21. Discuss the challenges of working with real-time data in analytics.

Answer: Real-time data poses challenges in terms of processing speed, storage, and ensuring data accuracy. Analytics tools and infrastructure need to be robust to handle constant updates.

22. What is sentiment analysis, and how is it used in analytics?

Answer: Sentiment analysis evaluates the emotions expressed in textual data. In analytics, it’s used to understand public opinion, customer feedback, and market trends.

23. Explain the concept of data governance.

Answer: Data governance involves managing, securing, and ensuring the quality and integrity of data within an organization. It establishes policies, procedures, and standards for data management.

24. How can data analytics contribute to business strategy?

Answer: Data analytics helps organizations make informed decisions, identify opportunities, optimize processes, and gain a competitive edge by aligning business strategies with data-driven insights.

25. Discuss the ethical considerations in data analytics.

Answer: Ethical considerations in data analytics involve ensuring privacy, transparency, and fairness in handling data. It’s essential to use data responsibly and mitigate potential biases in analysis.

Find our upcoming batches of Data analytics course training

Sapalogy provides flexible timings to all our students. Here are the data analytics Training Classes in Nagpur Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timing.CourseBatchModeEnquire nowData analyticsStarts every weekOnline + offline classroomEnquire now

CONCLUSION –

In conclusion, data analytics plays a pivotal role in today’s dynamic business landscape, enabling organizations to transform raw data into actionable insights. The fundamental concepts, methodologies, and tools discussed in these interview questions showcase the diverse aspects of data analytics. From data cleansing and normalization to advanced techniques like machine learning, analytics professionals navigate through various processes to extract valuable information.

Sapalogy Training stands out as a premier choice for data analytics education, offering the best training courses. With a commitment to excellence, their programs cover essential concepts, tools, and real-world applications. What sets Sapalogy apart is its guarantee of 100% placement assistance, ensuring that graduates are well-equipped for success in the competitive field of data analytics. Choosing Sapalogy means investing in a comprehensive and effective learning experience with a clear path to professional achievement.

[eswars-tech-world]

26. What are the best practices for deploying SSIS packages to production environments?

Interview questions on SSIS Development #etl #ssis #ssisdeveloper #integrationservices #eswarstechworld #sqlserverintegrationservices #interview #interviewquestions #interviewpreparation

Deploying SQL Server Integration Services (SSIS) packages to production involves the process of moving developed ETL solutions from a development or testing environment to the live production environment, ensuring a smooth and reliable execution of the ETL processes. Categories/Classifications/Types: Manual Deployment: Involves manually copying and configuring SSIS packages and related…

[etlbitesting]

ETL BI #1

This blog is created for the software professionals who want to achieve great success in ETI and BI Testing.

We will post the interview questions and answers and SQL scenario based interview questions along with answers.

[srinimf]

The popular etl testing questions for interviews need now

The popular etl testing questions for interviews need now

The below 10 etl questions identified in my analysis and useful for ETL developers and testers. Stockphotos.io What is source identification? The database/files where they located for etl processing is called identifying source what is the method of extractions? For each requirement weather the method is manual or Tool based. If it is tool based, need to identify which tool to be used What is…

[holeback8-blog]

What You Need to Know About SQL Interview Questions and Replies

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[gluebeech8-blog]

Everything You Need to Know About SQL Interview Questions and Answers

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[oxgate6-blog]

What You Want to Know About SQL Interview Questions and Replies

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[iminheatdaddy-blog]

New Questions About Implementing a Business Intelligence (BI) Solution Answered and Why You Must Read Every Word of This Report

Implementing a Business Intelligence ( BI ) Solution Secrets That No One Else Knows About Names ought to be as long as essential to prevent ambiguity or confusion. Reports are somewhat more accurate as they may look at the thousands of calculations behind report values. Data catalog is extremely similar. The target of BI is to allow for the simple interpretation of information. Advantage of QlikView is it can load substantial amounts of information. Our very first obstacle with Power BI is that it's designed for Windows developers since the only tool to construct the reports and dashboards runs on Windows. Who Else Wants to Learn About Implementing a Business Intelligence ( BI ) Solution? Keeping tabs on a big and complicated BI and DA Systems implementation and ensuring things are becoming done isn't an easy job. There are plenty of strategies for gathering this info, such as questionnaires and interview sessions. For the security topic all 3 solutions aren't that bad. Many Business Intelligence environments have emerged organically but they typically can't advance beyond a specific point. Business Intelligence has the capability to supply robust insights that provide you with the complete picture on campaign performance. Utilizing Business Intelligence has numerous benefits and is something that each and every firm should think about using. A VoIP process isn't only cheaper, but most full suites arrive with unlimited regional calls and free foreign calls. Make sure that you have a look at cloud computing needs and a potential shift to cloud based operations in the forseeable future. You may also begin with a single use case and a more compact team. Project leaders and sponsors have to think about those issues to prevent clash of cultures, that could ruin any undertaking. Procurement teams have to be in the decision chair about which technologies become purchased. It can be challenging to supply a positive business case for business intelligence initiatives, and frequently the projects have to be prioritized through strategic initiatives. As a consequence, the major expense in taking BI in-house is going to be to secure the technology, particularly for the data warehouse. Specifically, companies which rely on real-time reporting have a tendency to lean toward BI. Identify the company area in which you need to implement BI solution. Definitions of Implementing a Business Intelligence ( BI ) Solution The ROC curve is among the very first tests used when modeling with the majority of algorithms. You shouldn't exceed more than 15-20 KPIs and you ought to be certain to make them highly auditable and configurable to permit for agility. The metrics ought to have a narrative that's compelling to the decision-maker. The module isn't designed to be a thorough guide to developing custom SSIS solutions, yet to deliver an awareness of the fundamental steps necessary to use customized components and scripts in an ETL process that's based on SSIS. If you own a column like customerId, you can't write SQL in looker to acquire an aggregate count of consumer id's. You should create a new dimension for it, and get it uploaded. Life After Implementing a Business Intelligence ( BI ) Solution BI projects will deal with known unknowns, which means there's a way of locating those unknowns and for that reason the undertaking can be well planned ahead of time. top practices for excellence in Business Intelligence can help trigger the imagination by supplying a continually replenished source of thoughts and experiences. Another challenge organizations face is being in a position to warrant the cost of creating new dashboards. Because of the hierarchical organizational structure, analysts do not generally get a chance to find the huge picture. With the correct amount of research and planning, you can guarantee your cloud BI implementation project finishes in time, within budget, and with top quality benefits. BI systems may also help companies identify market trends and spot business conditions that ought to be addressed. Business intelligence and performance analytics can give an actual value to any company, irrespective of industry. BI on Big Data in the cloud can fail for lots of reasons that range from lack of coordination between tools, bad adoption by users, inability to satisfy the expectations of the company users, and many more. NET or a mixture of technologies could be a better choice for your distinctive business requirements. Consider ways to add AI capabilities to your present products and solutions. One of the principal benefits of investing in BI and skilled personnel is the simple fact that it is going to boost your capability to analyze the present consumer buying trends. If you're interested in buying BI or company analytics tools, a superb place to begin is with a list of expert requirements from Selecthub. If you're searching for a robust small business intelligence tool which empowers using business analytics in your organization, sign up today for a totally free trial of RJMetrics. Capturing the company knowledge that might just exist in the minds of business users provides some of the most essential data points for an entire BI solution. Data engineers are liable for extracting data from the foundational systems of the company in a sense that may be used and leveraged to create insights and decisions. So, along with making sure that you have the appropriate data, you must be certain the data is ready for AI algorithms to digest, and that you are able to process the algorithms quickly. Unstructured and semi-structured data have various meanings based on their context. In the event you've got lots of legacy systems, these would increase the complexity too. It offers tools that let us drill down data and see the effect in a visual format that may be easily understood. Another benefit of random forests is they have an in-built validation mechanism. Actually, you ought to take care that the customizable reports functionality needs to be available. Formally checking in your code and research guarantees that your work and all its prior incarnations live on. Connecting to others who can offer assistance or who can benefit from knowledge sharing is a potent method to leverage each individual's individual understanding.

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And Additionally significantly, you’ll build the abilities required for changing into a booming data analytics skill. By undergoing structured data analytics certification courses, you learn every one of the foremost fields of data analytics in an organized, logical manner. Given however dynamic the business is, having this structure where you're learning is crucial.

ExcelR Solutions delivers the most effective Alteryx coaching in urban centers supposed for the enterprise in alignment to clear the certification exams. you'll get full help and time project support from skilled consultants throughout the coaching method. enroll nowadays at ExcelR to acceptive the new challenges to induce the most effective out of our coaching course in urban center.

Data Analyst Course

78%of analytics professionals receive regular payment in 0-6 Lakhs regular payment bracket. this can be a sign that additional entry-level professionals entered the analytics force this year. Preschool organizes online informative webinars on Business Analytics that square measure conducted by the professional college and business professionals. Descriptive analysis or statistics operates “Describing” or summarizing data to create it simply comprehensible and explainable by humans.

You will explore Amazon Redshift, a managed petabyte-scale information warehouse service that forms a part of the larger AWS cloud-computing platform. The 12-video course demonstrates the way to produce and tack Amazon Redshift cluster; load information into it from an S3 bucket, and tack a Glue crawler to keep information. This course examines the way to visualize the information keep within the data lake and the way to perform ETL operations on the info mistreatment Glue scripts. you'll work with DynamoDB, a NoSQL info service that supports key-value and document information structures. you'll learn the way to use AWS QuickSight, a superior business administrative body that integrates seamlessly with Glue tables by mistreatment of the Amazon Pallas Athena question Service.

Our courses were chosen supported analysis of real-world data analyst job postings, to confirm we're covering all the proper skills. and every course teaches with real information, difficult you to complete real-world data analysis comes similar to those you will be tackling at work. The Post Graduation program in Data Science and Analytics could be a seven-month program designed completely for operating professionals across Pune and Mumbai.

Various applied math techniques like Classification, Regression, Hypothesis Testing, statistic Analysis are employed to construct information models. With the assistance of Statistics, an information person will gain higher insights, that allows to effectively contour the decision-making method. Well structured, straightforward to know content capsules delivered by a man. Chandramouli helped remodel ourselves, really a project management skill. This course comes as an ideal package of needed Data Science skills as well as programming, statistics, and Machine Learning. If you draw a bead-on to be Data Science professionals, this course will vastly assist you to achieve your goal. Mentors additionally provide interview tips and prepare candidates with a high confidence level.

Data Analytics Masters Program causes you to be good in tools and systems utilized by Data Analytics Professionals. It includes in-depth coaching on Statistics, Data Analytics with R, and Tableau. The program has been determined by intensive analysis on 5000+ job descriptions across the world. Learn Bash to ascertain a foundation of operating the statement as a springboard to mistreatment the statement for data science. Upon completion of every course, you’ll receive a certificate that you simply will share with your skilled network — or use to boost your resume.

It chronicles the technological progress within the area of analytics, AI, data science, and massive information by lightness the innovations and players within the field. This ranking on online analytics and data science programs in India consists of courses that square measure completely (100%) online. Analytics Magazine’s annual rankings of data science and analytics programs in India square measure a business benchmark. it's helped thousands of aspiring students and dealing professionals to pick the most effective institutes to be told or upskill themselves and enter the globe of data science.

Impeccable communication skills, each oral and written, square measure extraordinarily necessary to be a data analyst. you ought to be able to communicate effectively with teammates to organize, present, and make a case for information. Knowing the domain suggests that understanding specifics regarding the business and also the specific company you're employed for. as an example, if you're employed for a corporation with a web store, you'll have to be compelled to perceive the nuances of e-commerce. Conversely, if you're analyzing information on mechanical systems, you'll have to be compelled to perceive the systems and their functioning.

For More Details Contact Us ExcelR- Data Science, Data Analytics, Business Analyst Course Training Andheri Address: Shree Padmini Building, 301, Third Floor, Teli Galli Cross Rd, Sanpada Society, Andheri East, Mumbai, Maharashtra 400069, India Phone: 09108238354

Data Analyst Course

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Amity Soft Technologies Comprehensive Software Testing Course and Overview

Software training in Chennai offered by QA Certified Experts with Placements. Become a Master in Manual Testing, Automation Testing, Performance Testing, data warehousing testing, and Functional Testing with 10+ Real-time Projects.

Learn how to use Selenium and UFT for automation testing from the essential to advanced level with Hands-on Demo Classes. Get in-depth Practical exposure to Performance Testing tools like LoadRunner, Jmeter, and netload to work out the workload of the appliance and network. Enroll for Automation Testing Course Online in Chennai and become a QA Certified professional.

Software Testing Course in Chennai Overview

This Comprehensive Software Training Institute in Chennai  Provides the entire Knowledge on SAP Webdriver with Java and applied tools for web and mobile automation testing with a Sample test suit. you'll gain knowledge on API and SoapUi Testing from the simplest Software training institute in Chennai.

Boost your Software Testing Career from Software Testing Course Chennai Updated Syllabus 2020, unique Automation testing Course Materials, Resume Building, Answered Mock Interview Questions, and Placement Assurance.

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Prerequisite for Software Testing Course

Our Software Testing Course is Suitable for freshers, Manual Testers, College Graduates who wish to find out Testing courses with none Prior Coding Knowledge. we'll Cover Basic SQL Course to become the simplest ETL Tester.

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We spread ourselves to embrace a spread of testing training courses to sharpen the business prospects of all ends. The software testing course Chennai is obtainable including Manual Testing and Automation testing courses like Selenium, QTP, and cargo Runner.

AmitySoft the leading Software Testing Training Institute in the Chennai base. Since inception, we've been that specialize in building a top-quality delivery of Software Testing coaching.

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Trainer Profile of Software Testing

Our Trainers provide complete freedom to the scholars, to explore the topic, and learn supported real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are liberal to ask any questions at any time.

More than 7+ Years of Experience.

Trained quite 2000+ students during a year.

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Well connected with Hiring HRs in multinational companies.

Expert level Subject Knowledge and fully up-to-date on real-world industry applications.

Trainers have Experienced in multiple real-time projects in their Industries.

Our Trainers are working in MNC companies like CTS, TCS, HCL Technologies, ZOHO, Birla soft, IBM, Microsoft, HP, Scope, Philips Technologies, etc.

Corporate Training

If you would like to offer the Trending technology experience to your esteemed employees, we are here to assist you!

Amity Soft Technologies

Software Testing Certification Course

Amity soft Certification is Accredited by all major Global Companies around the world.  Best Software Training Institute in Chennai offer after completion of the theoretical and practical sessions to fresher’s also as corporate trainees.

Our certification at Amity soft is accredited worldwide. It increases the worth of your resume and you'll attain leading job posts with the assistance of this certification in leading MNC’s of the planet. The certification is merely provided after successful completion of our training and practical based projects.