{"id":515,"date":"2026-02-12T15:47:20","date_gmt":"2026-02-12T15:47:20","guid":{"rendered":"https:\/\/datalunchconsulting.com\/?page_id=515"},"modified":"2026-02-15T16:57:26","modified_gmt":"2026-02-15T16:57:26","slug":"python-for-data-analysis-fundamentals","status":"publish","type":"page","link":"https:\/\/datalunchconsulting.com\/fr\/python-for-data-analysis-fundamentals\/","title":{"rendered":"Python for Data Analysis Fundamentals"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_heading title=&#8221;Python for Data Analysis Fundamentals&#8221; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; title_text_align=&#8221;center&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_heading][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/datalunchconsulting.com\/wp-content\/uploads\/2026\/02\/python_new-design-2.jpg&#8221; title_text=&#8221;python_new design&#8221; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_button button_text=&#8221;Syllabus &#8221; button_alignment=&#8221;center&#8221; module_class=&#8221;popmake-483&#8243; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_color=&#8221;#FFFFFF&#8221; button_bg_color=&#8221;#0C71C3&#8243; button_border_width=&#8221;2px&#8221; button_border_color=&#8221;#000000&#8243; button_border_radius=&#8221;10px&#8221; button_icon=&#8221;&#xe004;||divi||400&#8243; button_icon_color=&#8221;#FFFFFF&#8221; button_on_hover=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_button][et_pb_wc_price _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; product=&#8221;519&#8243; text_orientation=&#8221;center&#8221; hover_enabled=&#8221;0&#8243; sticky_enabled=&#8221;0&#8243;][\/et_pb_wc_price][et_pb_button button_url=&#8221;https:\/\/datalunchconsulting.com\/checkout\/?add-to-cart=519&#8243; button_text=&#8221;Buy Now&#8221; button_alignment=&#8221;center&#8221; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_color=&#8221;#FFFFFF&#8221; button_bg_color=&#8221;#E02B20&#8243; button_border_width=&#8221;2px&#8221; button_border_color=&#8221;#000000&#8243; button_border_radius=&#8221;10px&#8221; button_icon=&#8221;&#xf07a;||fa||900&#8243; button_icon_color=&#8221;#FFFFFF&#8221; button_on_hover=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_button][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<section>\n<h2>Master Python for Data Cleaning, Analysis, and Automation<\/h2>\n<p>This live online course introduces Python as a practical tool for data analysis and automation in real business environments.<br \/>Participants will learn how to organize datasets, write Python programs, and perform analytical tasks commonly used for data processing and reporting.<\/p>\n<p>Through guided hands-on sessions, learners will develop practical skills in data cleaning, analysis, automation, and visualization using Python.<\/p>\n<hr \/>\n<h3>Who This Course Is For<\/h3>\n<ul>\n<li>Beginners interested in learning Python for data analysis<\/li>\n<li>Students preparing for data analytics careers<\/li>\n<li>Business analysts and reporting professionals<\/li>\n<li>Working professionals handling large datasets<\/li>\n<li>Anyone looking to automate data processing workflows<\/li>\n<\/ul>\n<hr \/>\n<h3>What You Will Learn<\/h3>\n<h4>Python Programming Fundamentals<\/h4>\n<ul>\n<li>Python syntax and programming basics<\/li>\n<li>Variables, data types, and operators<\/li>\n<li>Conditional statements and loops<\/li>\n<li>Functions and reusable code<\/li>\n<\/ul>\n<h4>Data Preparation and Management<\/h4>\n<ul>\n<li>Working with structured data<\/li>\n<li>Reading and writing data files (CSV, Excel)<\/li>\n<li>Data cleaning and transformation techniques<\/li>\n<li>Handling missing and inconsistent data<\/li>\n<\/ul>\n<h4>Data Analysis Using Python<\/h4>\n<ul>\n<li>Introduction to NumPy and Pandas<\/li>\n<li>Data filtering and manipulation<\/li>\n<li>Data aggregation and summarization<\/li>\n<li>Basic statistical analysis<\/li>\n<\/ul>\n<h4>Data Visualization and Reporting<\/h4>\n<ul>\n<li>Creating charts and graphs<\/li>\n<li>Visualizing trends and patterns<\/li>\n<li>Building data reports and insights<\/li>\n<\/ul>\n<hr \/>\n<h3>Course Details<\/h3>\n<ul>\n<li><strong>Duration:<\/strong> 4 weeks (12 hours)<\/li>\n<li><strong>Format:<\/strong> Live online training<\/li>\n<li><strong>Level:<\/strong> Beginner to Intermediate<\/li>\n<\/ul>\n<hr \/>\n<h3>Course Outcomes<\/h3>\n<ul>\n<li>Write Python programs for data analysis<\/li>\n<li>Clean and transform datasets efficiently<\/li>\n<li>Automate data processing tasks<\/li>\n<li>Generate insights from business data<\/li>\n<li>Improve productivity using Python workflows<\/li>\n<\/ul>\n<\/section>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Master Python for Data Cleaning, Analysis, and Automation This live online course introduces Python as a practical tool for data analysis and automation in real business environments.Participants will learn how to organize datasets, write Python programs, and perform analytical tasks commonly used for data processing and reporting. Through guided hands-on sessions, learners will develop practical [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-515","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Python for Data Analysis Fundamentals - DataLunch Consulting<\/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:\/\/datalunchconsulting.com\/fr\/python-for-data-analysis-fundamentals\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python for Data Analysis Fundamentals - DataLunch Consulting\" \/>\n<meta property=\"og:description\" content=\"Master Python for Data Cleaning, Analysis, and Automation This live online course introduces Python as a practical tool for data analysis and automation in real business environments.Participants will learn how to organize datasets, write Python programs, and perform analytical tasks commonly used for data processing and reporting. Through guided hands-on sessions, learners will develop practical [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datalunchconsulting.com\/fr\/python-for-data-analysis-fundamentals\/\" \/>\n<meta property=\"og:site_name\" content=\"DataLunch Consulting\" \/>\n<meta property=\"article:modified_time\" content=\"2026-02-15T16:57:26+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/datalunchconsulting.com\\\/en\\\/python-for-data-analysis-fundamentals\\\/\",\"url\":\"https:\\\/\\\/datalunchconsulting.com\\\/en\\\/python-for-data-analysis-fundamentals\\\/\",\"name\":\"Python for Data Analysis Fundamentals - DataLunch Consulting\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/datalunchconsulting.com\\\/#website\"},\"datePublished\":\"2026-02-12T15:47:20+00:00\",\"dateModified\":\"2026-02-15T16:57:26+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/datalunchconsulting.com\\\/en\\\/python-for-data-analysis-fundamentals\\\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/datalunchconsulting.com\\\/en\\\/python-for-data-analysis-fundamentals\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/datalunchconsulting.com\\\/en\\\/python-for-data-analysis-fundamentals\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/datalunchconsulting.com\\\/en\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Python for Data Analysis Fundamentals\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/datalunchconsulting.com\\\/#website\",\"url\":\"https:\\\/\\\/datalunchconsulting.com\\\/\",\"name\":\"DataLunch Consulting\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/datalunchconsulting.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Python for Data Analysis Fundamentals - DataLunch Consulting","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/datalunchconsulting.com\/fr\/python-for-data-analysis-fundamentals\/","og_locale":"fr_FR","og_type":"article","og_title":"Python for Data Analysis Fundamentals - DataLunch Consulting","og_description":"Master Python for Data Cleaning, Analysis, and Automation This live online course introduces Python as a practical tool for data analysis and automation in real business environments.Participants will learn how to organize datasets, write Python programs, and perform analytical tasks commonly used for data processing and reporting. Through guided hands-on sessions, learners will develop practical [&hellip;]","og_url":"https:\/\/datalunchconsulting.com\/fr\/python-for-data-analysis-fundamentals\/","og_site_name":"DataLunch Consulting","article_modified_time":"2026-02-15T16:57:26+00:00","twitter_card":"summary_large_image","twitter_misc":{"Dur\u00e9e de lecture estim\u00e9e":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/datalunchconsulting.com\/en\/python-for-data-analysis-fundamentals\/","url":"https:\/\/datalunchconsulting.com\/en\/python-for-data-analysis-fundamentals\/","name":"Python for Data Analysis Fundamentals - DataLunch Consulting","isPartOf":{"@id":"https:\/\/datalunchconsulting.com\/#website"},"datePublished":"2026-02-12T15:47:20+00:00","dateModified":"2026-02-15T16:57:26+00:00","breadcrumb":{"@id":"https:\/\/datalunchconsulting.com\/en\/python-for-data-analysis-fundamentals\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/datalunchconsulting.com\/en\/python-for-data-analysis-fundamentals\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/datalunchconsulting.com\/en\/python-for-data-analysis-fundamentals\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/datalunchconsulting.com\/en\/"},{"@type":"ListItem","position":2,"name":"Python for Data Analysis Fundamentals"}]},{"@type":"WebSite","@id":"https:\/\/datalunchconsulting.com\/#website","url":"https:\/\/datalunchconsulting.com\/","name":"DataLunch Consulting","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/datalunchconsulting.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"}]}},"_links":{"self":[{"href":"https:\/\/datalunchconsulting.com\/fr\/wp-json\/wp\/v2\/pages\/515","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datalunchconsulting.com\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/datalunchconsulting.com\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/datalunchconsulting.com\/fr\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/datalunchconsulting.com\/fr\/wp-json\/wp\/v2\/comments?post=515"}],"version-history":[{"count":4,"href":"https:\/\/datalunchconsulting.com\/fr\/wp-json\/wp\/v2\/pages\/515\/revisions"}],"predecessor-version":[{"id":556,"href":"https:\/\/datalunchconsulting.com\/fr\/wp-json\/wp\/v2\/pages\/515\/revisions\/556"}],"wp:attachment":[{"href":"https:\/\/datalunchconsulting.com\/fr\/wp-json\/wp\/v2\/media?parent=515"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}