In Excel , What-if analysis is a process of changing the value of the cells to see how the changes will affect the outcome. You can use different sets of values to explore all the various leads to one or more formulas. Nowadays, What-if Analysis in Excel is used by every data analyst and especially management professionals to make better, faster and more accurate decisions based on the data. What-if analysis tool is used in many situations, like: • To propose different budgets based on revenue. • To predict the future values based on the given historical values. • If you expect a certain value due to a formula, you can find different sets of input values that produce the desired result. To enable the what-if analysis tool you have to go to the Data menu tab and click on the What-If Analysis option. Goal Seek is a What-If Analysis tool which helps you to find the input value which results in a target value that you desire. Goal Seek requires a formula which uses the input...
Cyber security is the practice to defend computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks. It is also referred as information technology security or electronic information security. Application security focuses on keeping software and devices threat free. Cybersecurity course is also Empowering and educating current and future cybersecurity Professionals globally with skills & Knowledge, with industry-specific training, certifications. Skills needed for cyber security: • Problem-Solving Skills. • Technical Aptitude. • Knowledge of Security Across Various Platforms. • Attention to Detail. • Communication Skills. • Fundamental Computer Forensics Skills. • A Desire to Learn. • An Understanding of Hacking. Importance of Cyber Security: Cybersecurity is vital because it protects all categories of knowledge from theft and damage. This includes sensitive data, personally identifiable inform...
We are, in all likelihood, living in the most defining period of human history. The period when computing moved from large mainframes to PCs and then to the cloud. But what makes it more defining is what is coming in our way in the upcoming years. What makes this period exciting and captivating for someone is the normalization of the various tools and techniques, which followed the boost in computing. Widely, Machine Learning Algorithms are classified as: 1. Supervised Learning : Consists of a target / output variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables). Using these set of variables, we generate a function which map inputs to desired outputs. The training process continues until the model achieves a desired level of accuracy on the training data. Some of the examples of Supervised Learning are Regression, Decision Tree, Random Forest, KNN, Logistic Regression etc. 2. Unsupervised Learni...
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