{"id":5671,"date":"2025-10-29T08:40:13","date_gmt":"2025-10-29T08:40:13","guid":{"rendered":"https:\/\/omxwebsites.com\/gammatica\/?page_id=5671"},"modified":"2025-11-07T06:38:51","modified_gmt":"2025-11-07T06:38:51","slug":"python-for-ai-data-science","status":"publish","type":"page","link":"https:\/\/omxwebsites.com\/gammatica\/python-for-ai-data-science\/","title":{"rendered":"Python for AI & Data Science"},"content":{"rendered":"\t\t
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Python for AI & Data Science\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Learning Format<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Total training duration<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Syllabus<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Certification<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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Python for AI & Data Science\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Python for AI & Data Science<\/strong> is a foundational course that equips learners with the programming skills needed to analyze data, build predictive models, and develop intelligent applications. Python\u2019s simplicity and powerful libraries like NumPy, Pandas, Matplotlib, and TensorFlow make it the preferred language for data manipulation, machine learning, and AI development. This course helps learners gain practical experience in solving real-world problems using data-driven and AI-powered solutions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t

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Syllabus Summary<\/h2>\t\t\t\t<\/div>\n\t\t\t\t
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  • Python refresher and environment setup<\/li>
  • Data types, variables, operators, loops, functions<\/li>
  • \u00a0Overview of Python libraries ecosystem<\/li>
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    • Advanced Python: OOP, file handling, error handling<\/li>
    • \u00a0Working with modules and packages<\/li>
    • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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      • NumPy for numerical computing<\/li>
      • \u00a0Arrays, indexing, broadcasting<\/li>
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        • Pandas for data manipulation<\/li>
        • DataFrames, joins, groupby, aggregations<\/li>
        • Assignment at end of week<\/li>
        • Mock Interview 1<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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          • Matplotlib & Seaborn for data visualization<\/li>
          • \u00a0Histograms, scatter plots, heatmaps<\/li>
          • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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            • Data wrangling & cleaning techniques<\/li>
            • \u00a0Handling missing values, duplicates, outliers<\/li>
            • \u00a0Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t
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              • Exploratory Data Analysis project<\/li>
              • \u00a0EDA on real-world dataset<\/li>
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                • Applied statistics for AI<\/li>
                • Final project presentation<\/li>
                • Mock Interview 2<\/li>
                • Assignment at end of week<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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                  \n\t\t\t\t\t\t\n\t\t\t\t\t\t\tEligibility\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t

                  \n\t\t\t\t\t\tTech & Non-Tech Working professional, Freshers, Graduate from any domain.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\tGet your queries solved with daily dedicated doubts solving sessions.\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\tExperts and trainer for top-tech companies.\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t10+ ISO Globally recognized certified\n\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t100% Live Learning with experienced instructors and hands-on sessions.\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\tGet practical experience with real-world projects for a career in analytics.\n\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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                  \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"\"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

                  Python for AI & Data Science Learning Format Online mode Total training duration 80-90 hrs (2 months) Syllabus 8 weeks Certification Yes Python for AI & Data Science Python for AI & Data Science is a foundational course that equips learners with the programming skills needed to analyze data, build predictive models, and develop intelligent applications. Python\u2019s simplicity and powerful libraries like NumPy, Pandas, Matplotlib, and TensorFlow make it the preferred language for data manipulation, machine learning, and AI development. This course helps learners gain practical experience in solving real-world problems using data-driven and AI-powered solutions. Enroll Now Syllabus Summary Week 1 Python refresher and environment setup Data types, variables, operators, loops, functions \u00a0Overview of Python libraries ecosystem Assignment at end of week Week 2 Advanced Python: OOP, file handling, error handling \u00a0Working with modules and packages \u00a0Assignment at end of week Week 3 NumPy for numerical computing \u00a0Arrays, indexing, broadcasting Assignment at end of week Week 4 Pandas for data manipulation DataFrames, joins, groupby, aggregations Assignment at end of week Mock Interview 1 Week 5 Matplotlib & Seaborn for data visualization \u00a0Histograms, scatter plots, heatmaps \u00a0Assignment at end of week Week 6 Data wrangling & cleaning techniques \u00a0Handling missing values, duplicates, outliers \u00a0Assignment at end of week Week 7 Exploratory Data Analysis project \u00a0EDA on real-world dataset Assignment at end of week Week 8 Applied statistics for AI Final project presentation Mock Interview 2 Assignment at end of week Python refresher and environment setup Data types, variables, operators, loops, functions \u00a0Overview of Python libraries ecosystem Assignment at end of week Advanced Python: OOP, file handling, error handling \u00a0Working with modules and packages \u00a0Assignment at end of week NumPy for numerical computing \u00a0Arrays, indexing, broadcasting Assignment at end of week Pandas for data manipulation DataFrames, joins, groupby, aggregations Assignment at end of week Mock Interview 1 Matplotlib & Seaborn for data visualization \u00a0Histograms, scatter plots, heatmaps \u00a0Assignment at end of week Data wrangling & cleaning techniques \u00a0Handling missing values, duplicates, outliers \u00a0Assignment at end of week Exploratory Data Analysis project \u00a0EDA on real-world dataset Assignment at end of week Applied statistics for AI Final project presentation Mock Interview 2 Assignment at end of week Course Summary Eligibility Tech & Non-Tech Working professional, Freshers, Graduate from any domain. Live Doubt Solving Get your queries solved with daily dedicated doubts solving sessions. Instructor Experts and trainer for top-tech companies. Certification 10+ ISO Globally recognized certified Mode of Learning 100% Live Learning with experienced instructors and hands-on sessions. Real time projects Get practical experience with real-world projects for a career in analytics. Certification<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_canvas","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-5671","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/5671","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/comments?post=5671"}],"version-history":[{"count":31,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/5671\/revisions"}],"predecessor-version":[{"id":7854,"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/pages\/5671\/revisions\/7854"}],"wp:attachment":[{"href":"https:\/\/omxwebsites.com\/gammatica\/wp-json\/wp\/v2\/media?parent=5671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}