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Thursday 13 August 2020
Python Development Free Demo Session on 14th August. To attend call @ 9168665643/44 #python #pythonjobs #pytondev #softwaredevelopment #softwarejobs #itjobs #learnpython #pythononline #pythondevelopment #softwareengineer #coderlife #coding #developer #webdeveloper #webdevelopment #programmerhumor #programmingmemes
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Wednesday 12 August 2020
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Monday 22 June 2020
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Saturday 20 June 2020
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Friday 19 June 2020
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Tuesday 16 June 2020
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Wednesday 27 May 2020
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Friday 20 March 2020
What are the Software Testing Automation Trends To Look For In 2020?
Automation is bringing changes in many fields and Software testing is no exception for that. The automation using technologies like Artificial intelligence, machine learning, Natural Language processing has been helping the industry for some time and the industries are very interested to implement automation across all the processes they follow.
Incorporating machine learning and artificial intelligence into testing will bring help in optimizing QA, easily identifying the high-risk points of an application, optimizing test suites, predicting test configurations, and many other things. Test automation also involves the automatic verification of different codes and processes.
This greatly reduces manual efforts and also saves a great amount of time and money in the long run. This “Hyperly” active automation itself is a trend that is being referred to as “Hyper Automation”.
The Software testing classes provided by our institute will make sure that you understand all the important core concepts of testing along with the specific knowledge of new trends so that you can take advantage of them.
Let us understand the different automation trends in software testing field:
IOT test automation
As you know, the Internet Of Things is the system of computing devices, mechanical and other things that communicate over the network with no human-human or human-computer interaction. While it is true that IoT considerably improves the lives of the users, IT also increases the risk and the damage of any small malfunctioning which can cause a great deal of damage that also could be fatal.
This places a lot of responsibility not only on developers but also on testers. Thus, QA and automated testing of the IoT systems will be a major area of focus in 2020 and beyond. Our software testing training in pune will provide IoT specific testing classes for the people who are interested.
Distributed Cloud
As we know, cloud computing is becoming a trend in itself and also increasing the ease of how testing is done. Multiple commercial testing tools like sauce labs, test complete, etc offer to store the automated test cases on the cloud so that they can become a complete package for testing. While there might be a problem with the performance of the test execution because of the cloud being located in a far location, accessing the content from the nearest cloud rather than fixed location should improve the speed and efficiency of hosted test cases and the results obtained from executing them.
The democratization of testing:
While there might be multiple ways in which testing could be democratized, there are two ways in which trend in usage is increasing: one of them is crowd sourced testing and the other is user-friendly automation tools.
Crowd sourced testing is useful as the markets are now global and every product will be released in multiple countries and also to many different areas. So, the number of devices needed for testing is increasing which increases demands for crowd sourced testing.
User-friendly testing refers to the fact that automation in testing makes the testing doable and understandable for people even if they don’t have much knowledge. This makes it possible for team members other than testers including the developers, management and stakeholders to get involved in test automation as needed. Tools like script less testing tools are paving the way for this.
Not only them but there many other trends including the DevTestOps, increasing of security etc
Conclusion
The demand for producing higher quality products in shorter amounts of time have placed a huge responsibility on software testing and how it is done. The field should put good use of new technologies to increase its efficiency. Automation is one such technology that is increasingly being used in testing. Hyper automation including IoT test automation, the democratization of testing, testing with the help of distributed cloud and many others are expected to trend in 2020.
By joining our best software testing institute in pune with placement, you will get all the skills required tailored for the present trends of testing and also good job opportunities!
Wednesday 18 March 2020
What are the Skills Required to Become a Data Scientist?
Data scientists are in huge demand at the enterprise level across all industries. It might be to refine the process of development of products, to improve customer retention or to find business opportunities, organizations increasingly rely on data scientists to sustain and also outdo their competitors. Many students are now interested in making DataScience their career.
But many of them are confused as to what to learn for Data science and where to start. We provide data science training with python in Pune which teaches all the essential skills you require starting a career in data science.
The prerequisites you need to learn for entering data science are fundamentals like linear Algebra, Data structures including hashing and also database basics. Learning Business intelligence and analytics also helps. A strong educational background should help to gain all the prerequisite skills required. Even though you had not learned, it is not the end of the road either!
Now we come to the main part of the skills required for Data Science.
- Statistics
Statistics is crucial in the fundamental steps of Data Science as it provides many tools and techniques necessary for getting insights from data. The key concepts in statistics that you need to learn are the Description statistics meaning things like Mean, Median, Mode, etc and Other important concepts are related to Probability theory in which Bayes theorem, random variables are a must.
- Programming languages
Expertise in programming languages is needed to implement the algorithms and work with them. Many languages like Java, C++, R, Python can be used for Data Science. But two of the most popular choices for data science is R and Python. While R is designed specifically for data science, python programming is a much more general language. We recommend Python programming language because of Python’s versatility and flexibility which enables it to be used efficiently and effectively in almost all the steps that are involved in the data science process. It can obtain data from various sources in various forms and also helps to visualize the data and apply machine learning algorithms on it which we will discuss later. Our Institute also provides data science with python training so that you will be able to leverage the power of python for data science.
- Big data
Understanding the concept of Big data is very important as the data we study and analyze in Data Science is generally of large volumes that may exceed the memory of your system. You might also encounter a situation where you need to send a large amount of data to different servers, This is where technologies like Hadoop comes in. Apart from quickly conveying data to various points on a system, You can use it for many things like data exploration, filtration, sampling, and summarization.
Another big data technology that is becoming popular is the Apache spark. It is specifically designed science to help to run its algorithms faster and its fastness is an advantage over Hadoop. Apache spark also makes it possible for data scientists to prevent loss of data. So, based on your requirements, you might be required to know Hadoop or apache spark.
- Data Visualization
Visualization is very important in data science Some things that are not directly understandable from arcane statistical data can be easily understood by a simple visualization. A Data Scientist needs to have good hands-on knowledge about visualization and there are many visualization techniques and tools available for you to do it.
- Machine learning and Artificial Intelligence
Understanding machine learning concepts like supervised machine learning, decision trees, deep learning, etc will help you to solve various data science problems with greater efficiency. It also helps you stand out from other people as much percentage of data science professionals are not good at machine learning. Machine learning can deliver insights that a normal human sometimes cannot.
That covered only the technical skills you require. But as a data scientist, you also need to have a lot of other skills including good communication, the skill of working well in a team and others. By taking our best data science course in Pune with placement, you will get good knowledge in all the areas required and also job opportunities!
Tuesday 17 March 2020
Best Data Science with Python Training Institute In Pune - Cyber Success
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Monday 16 March 2020
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Thursday 12 March 2020
Best AngularJs Training In Pune | Join Upcoming Batch | Attend Free Demo
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