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 Certifications of Cybersecurity        In today's digital world, cybersecurity has become an essential part of every company's strategy for sustainability, security, and growth. As businesses grow, the demand for cybersecurity talent will only continue to grow. According to the University of Maryland , hackers attack every 39 seconds, on an average of 2,244 times a day?      Cybersecurity is a growing industry that is still in need of skilled professionals. The global cyber security market is expected to grow from $170 billion in 2017 to $202 billion in 2023 and beyond.      The demand for cybersecurity jobs has risen sharply over the past few years. More than 1 million cyber security jobs are available in 2023, but less than 400,000 cybersecurity professionals are available now (as per survey). Cyber security is an ever-growing industry. It is projected to grow by 11% in 2023 and by 20% in next 5 years.  Here are some...

 What is Cybersecurity      Cybersecurity is the practice of protecting computer systems, networks, and digital assets from various types of threats, attacks, and unauthorized access. It encompasses a wide range of technologies, processes, and practices designed to safeguard information technology (IT) infrastructure and data from harm or compromise.      Cyberattacks are on the rise. In 2022, there were over 6.5 billion cyberattacks, and the number is only expected to grow in the coming years. These attacks can range from simple phishing scams to sophisticated ransomware attacks that can cripple businesses and organizations. Major Types of Cybersecurity Network Security protects computer networks from unauthorized access and attacks. It includes measures such as firewalls, intrusion detection systems, and security policies. Cloud Security protects data and applications that are stored in the cloud. It includes measures such as encryption, access con...

What is Data Analysis? Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision- making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains. Data analysis often employs statistical and mathematical methods, but it also includes techniques such as data mining, machine learning, and visualization. The goal of data analysis is to extract knowledge from data, and this knowledge can be used to make better decisions, improve processes, or develop new products or services. Types of Data Analysis There are many different types of data analysis, each with its own strengths and weaknesses. Some of the most common types of data analysis include: Descriptive data analysis:  This type of analysis is used to describe the data, such as by summarizing the da...