The Latest in

Data analysis is the practice of working with data to deduce useful information, which can then be used to make informed decisions.Companies are wisening up to the benefits of leveraging data. Data analysis can help a bank to personalize customer interactions, a health care system to predict future health needs, or an entertainment company to create the next big streaming hit.Data Analysis ProcessesAs the data available to companies continues to grow both in amount and complexity, so too does the need for an effective and efficient process by which to harness the value of that data. The data analysis process typically moves through several iterative phases.Identify the business question you’d like to answer. What problem is the company trying to solve? What do you need to measure, and how will you measure it?Collect the raw data sets you’ll need to help you answer the identified question. Data collection might come from internal sources, like a company’s client relationship management (CRM) software, or from secondary sources, like government records or social media application programming interfaces (APIs).Clean the data to prepare it for analysis. This often involves purging duplicate and anomalous data, reconciling inconsistencies, standardizing data structure and format, and dealing with white spaces and other syntax errors.Analyze the data. By manipulating the data using various data analysis techniques and tools, you can begin to find trends, correlations, outliers, and variations that tell a story. During this stage, you might use data mining to discover patterns within databases or data visualization software to help transform data into an easy-to-understand graphical format.Interpret the results of your analysis to see how well the data answered your original question. What recommendations can you make based on the data? What are the limitations to your conclusions?Vsasf Tech ICT Academy, Enugu offers a comprehensive training in Data Analysis for individuals interested in technical approaches in analysing dataRegister course

Our data science course teaches you to analyze data for insights using programming (Python/R), statistics, machine learning, and visualization (Tableau/SQL) to solve business problems in finance, healthcare, tech, and more, with options from short certificates (3-4 months) to university diplomas for roles like Data Analyst or ML Engineer, focusing on practical skills like EDA, modeling, and deployment.What You LearnFundamentals: Statistics, Probability, Linear Algebra, Data Mining.Programming: Python & R.Key Areas: Machine Learning, Deep Learning, AI, Data Visualization (Tableau), SQL, Big Data.Process: Data Acquisition, Preparation (Cleaning), Exploratory Data Analysis (EDA), Modeling, Visualization, Deployment.Vsasf Tech ICT Academy, Enugu offers intensive practical classes for Data Science course utilizing all modern tools such as SQL, Excel Worksheet, Power BI, Tablea, SPSS, Python Programming, R-Programming, Advanced Mathematics and Statistics in its instructional delivery. Enrol into this course by clicking on the link belowRegister for Data Science Course

In early 2026, Nigeria has emerged as the most targeted country for cyber attacks in Africa. Organisations in the country faced an average of 4,701 cyber attacks per week in January 2026, a 12% increase from the previous year. The most common and impactful cyber attacks currently affecting Nigeria in 2026 include:1. AI-Powered Phishing and Social Engineering Cybercriminals are increasingly using Generative AI to automate and scale deception. Highly Personalized Scams: Attackers use AI to create convincing emails, fake voice calls (deepfakes), and tailored malware with minimal effort.Deepfakes: Audio and video deepfakes are now regularly used to impersonate senior executives or regulators to authorize fraudulent transfers.Prevalence: Phishing remains the primary entry point for over 90% of data breaches in the country. 2. Ransomware as a "Leverage" ToolRansomware has evolved from simple file-locking to a tool for operational disruption and data extortion. Target Sectors: Banking, healthcare, and education are the most frequent victims.Shift in Strategy: Instead of just encrypting files, attackers now focus on stealing sensitive data to use as leverage for months, even if a ransom is not initially paid.Impact: Ransomware assaults saw a massive 287% increase in frequency leading into 2026. 3. Business Email Compromise (BEC)BEC remains one of the most financially damaging threats to Nigerian businesses. Credential Loss: Credential theft is now the No. 1 effect of phishing, allowing attackers to hijack legitimate business accounts.Method: Attackers monitor internal communications for weeks before sending a perfectly timed, fraudulent invoice or wire transfer request. 4. Attacks on Critical National Infrastructure Recent incidents have shown a growing focus on the systems that power the economy. Learn Cybersecurity at Vsasf Tech ICT Academy Enugu and become a certified Cyber expert.