{"id":48569,"date":"2025-11-19T14:09:33","date_gmt":"2025-11-19T14:09:33","guid":{"rendered":"https:\/\/certifeka-edu.com\/programs\/research-for-strategic-development-professional-certificate-3\/lessons\/lesson-1-what-is-data-analysis-3\/"},"modified":"2025-11-19T14:09:33","modified_gmt":"2025-11-19T14:09:33","slug":"lesson-1-what-is-data-analysis-3","status":"publish","type":"lesson","link":"https:\/\/certifeka-edu.com\/ar\/programs\/research-for-strategic-development-module\/lessons\/lesson-1-what-is-data-analysis-3\/","title":{"rendered":"Lesson 1: What is data analysis?"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" width=\"96\" height=\"114\" src=\"https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/04\/logos-png-01-296x57-1.png\" alt=\"\" srcset=\"https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/04\/logos-png-01-296x57-1.png 96w, https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/04\/logos-png-01-296x57-1-10x12.png 10w, https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/04\/logos-png-01-296x57-1-42x50.png 42w\" sizes=\"auto, (max-width: 96px) 100vw, 96px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/p>\n<h2>Lesson 1: Introduction to Data Analysis<\/h2>\n<h3>What is data analysis?<br \/>\n<\/h3>\n<h5>If we had to sum it up in a single sentence, we&#8217;d say it&#8217;s the process of analyzing raw data in order to draw out meaningful, actionable insights.<\/h5>\n<h5>It&#8217;s a form of business intelligence, that enables companies and organisations to make smart decisions based on what the data is telling them.<\/h5>\n<h5>Data analytics encompasses the extraction (or collection) of raw data, the preparation and subsequent analysis of that data, and storytelling&#8212;sharing key insights from the data, using them to explain or predict certain scenarios and outcomes, and informing decisions, strategies, and next steps.<\/h5>\n<h5>As a data analyst, it&#8217;s your job to turn raw data into meaningful insights.<\/h5>\n<h5>Any kind of data analysis usually starts with a specific problem you want to solve, or a question you need to answer<\/h5>\n<h5>for example, &#8220;Why did we lose so many customers in the last quarter?&#8221; or &#8220;Why are patients dropping out of their therapy programs at the halfway mark?&#8221;<\/h5>\n<h5>To find the insights and answers you need, you&#8217;ll generally go through the following steps:<\/h5>\n<p>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"652\" height=\"323\" src=\"https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/08\/digram-1.png\" alt=\"\" srcset=\"https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/08\/digram-1.png 652w, https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/08\/digram-1-300x149.png 300w, https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/08\/digram-1-18x9.png 18w, https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/08\/digram-1-600x297.png 600w, https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/08\/digram-1-101x50.png 101w\" sizes=\"auto, (max-width: 652px) 100vw, 652px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/p>\n<details id=\"e-n-accordion-item-9240\" open>\n<summary data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"true\" aria-controls=\"e-n-accordion-item-9240\" >\n\t\t\t\t\t Step 1: Define the question<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5 tabindex=\"0\" data-element-id=\"ebookHeading4\" data-node-type=\"text\" data-magic=\"col-description\">Step 1: Define the question The first step in data analytics is to define the question or problem you want to solve. This involves identifying the business problem or opportunity you want to explore, and deciding on the specific data you need to answer your question.<\/h5>\n<\/details>\n<details id=\"e-n-accordion-item-9241\" >\n<summary data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-9241\" >\n\t\t\t\t\t Step 2: Collect the data<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>Step 2: Collect the data Once you have identified the data you need, the next step is to collect it. This can involve gathering data from various sources such as internal databases, external data sets, or even web scraping.<\/h5>\n<\/details>\n<details id=\"e-n-accordion-item-9242\" >\n<summary data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-9242\" >\n\t\t\t\t\t Step 3: Clean the data After collecting the data<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>Step 3: Clean the data After collecting the data, it&#8217;s important to clean and preprocess it to ensure accuracy and consistency. This may involve removing duplicates, filling in missing values, standardizing formats, or correcting errors.<\/h5>\n<\/details>\n<details id=\"e-n-accordion-item-9243\" >\n<summary data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-9243\" >\n\t\t\t\t\t  Step 4: Analyse the data Once the data is clean<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>Step 4: Analyse the data Once the data is clean, you can begin to analyse it. This involves using statistical and machine learning techniques to identify patterns, trends, and relationships in the data. The goal is to uncover insights that can help you make informed decisions.<\/h5>\n<\/details>\n<details id=\"e-n-accordion-item-9244\" >\n<summary data-accordion-index=\"5\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-9244\" >\n\t\t\t\t\t Step 5: Create visualisations<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>Step 5: Create visualisations Data visualisation is an important part of data analytics as it allows you to communicate insights in a clear and concise way. This can involve creating charts, graphs, or dashboards that help you better understand and communicate the results of your analysis.<\/h5>\n<\/details>\n<details id=\"e-n-accordion-item-9245\" >\n<summary data-accordion-index=\"6\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-9245\" >\n\t\t\t\t\t  Step 6: Share your findings Finally<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>Step 6: Share your findings Finally, it&#8217;s important to share your findings with others in your organisation. This can involve creating reports or presentations that summarise your insights and recommendations, or presenting your findings to stakeholders in person. The goal is to ensure that your insights are actionable and can drive informed decision-making.<\/h5>\n<\/details>\n<h5 tabindex=\"0\" data-element-id=\"ebookHeading4\" data-node-type=\"text\" data-magic=\"col-description\">Step 1: Define the question The first step in data analytics is to define the question or problem you want to solve. This involves identifying the business problem or opportunity you want to explore, and deciding on the specific data you need to answer your question.<\/h5>\n<h5>Step 2: Collect the data Once you have identified the data you need, the next step is to collect it. This can involve gathering data from various sources such as internal databases, external data sets, or even web scraping.<\/h5>\n<h5>Step 3: Clean the data After collecting the data, it&#8217;s important to clean and preprocess it to ensure accuracy and consistency. This may involve removing duplicates, filling in missing values, standardizing formats, or correcting errors.<\/h5>\n<h5>Step 4: Analyse the data Once the data is clean, you can begin to analyse it. This involves using statistical and machine learning techniques to identify patterns, trends, and relationships in the data. The goal is to uncover insights that can help you make informed decisions.<\/h5>\n<h5>Step 5: Create visualisations Data visualisation is an important part of data analytics as it allows you to communicate insights in a clear and concise way. This can involve creating charts, graphs, or dashboards that help you better understand and communicate the results of your analysis.<\/h5>\n<h5>Step 6: Share your findings Finally, it&#8217;s important to share your findings with others in your organisation. This can involve creating reports or presentations that summarise your insights and recommendations, or presenting your findings to stakeholders in person. The goal is to ensure that your insights are actionable and can drive informed decision-making.<\/h5>","protected":false},"comment_status":"open","ping_status":"closed","template":"","class_list":["post-48569","lesson","type-lesson","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Lesson 1: What is data analysis? - Certifeka-edu<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/certifeka-edu.com\/ar\/programs\/research-for-strategic-development-module\/lessons\/lesson-1-what-is-data-analysis-3\/\" \/>\n<meta property=\"og:locale\" content=\"ar_AR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lesson 1: What is data analysis? - Certifeka-edu\" \/>\n<meta property=\"og:description\" content=\"Lesson 1: Introduction to Data Analysis What is data analysis? 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If we had to sum it up in a single sentence, we&#8217;d say it&#8217;s the process of analyzing raw data in order to draw out meaningful, actionable insights. 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