Simplilearn

Simplilearn is the world's leading online training provider and has helped over 8 million professionals, and corporations acquire ...

Education 280 summaries
Apr 20 - Apr 26, 2026
12 videos
Social Media Marketing Full Course 2026 [FREE] | Social Media Marketing Tutorial | Simplilearn thumbnail

Social Media Marketing Full Course 2026 [FREE] | Social Media Marketing Tutorial | Simplilearn

The video presents a comprehensive social media marketing course that covers platform selection, content creation, targeting, analytics, and AI-powered tools, with practical steps for setting up profiles and campaigns and a focus on data-driven strategies, audience research, storytelling, and moment marketing. It also explains Facebook and Instagram ads in detail, including the campaign/ad set/ad structure, targeting, budgets, placements, pixel installation, analytics, and the end-to-end process of creating and optimizing ads.

00:01:37 read 05:04:56 video 21 chapters
Social Media Marketing Full Course 2026 [FREE] | Social Media Marketing Tutorial | Simplilearn thumbnail

Social Media Marketing Full Course 2026 [FREE] | Social Media Marketing Tutorial | Simplilearn

The video offers a practical guide to building a modern social media strategy across platforms, covering platform selection, content creation, targeting, analytics, buyer personas, storytelling, and the role of AI tools in growth. It provides hands-on steps to set up and optimize Facebook/Instagram pages and campaigns, detailing the ads structure (campaigns, ad sets, ads), targeting and budgeting, creative formats, placements, and tracking with Ads Manager and Pixel, with a comparison to YouTube and other meta concepts.

00:01:24 read 05:04:42 video 14 chapters
Digital Marketing Full Course 2026 [FREE] | Digital Marketing Tutorial For Beginners | Simplilearn thumbnail

Digital Marketing Full Course 2026 [FREE] | Digital Marketing Tutorial For Beginners | Simplilearn

The video provides a comprehensive view of digital marketing, covering core concepts, channels, and the shift from traditional to digital practices, including video advertising and programmatic buying. It then delves into practical concepts like granular targeting, data-driven planning, audience segmentation, branding, UI/UX basics, analytics tools, influencer marketing, and a Race framework for growth, highlighting the evolving mix of paid and organic reach.

00:01:48 read 05:30:20 video 21 chapters
Machine Learning With Python Full Course 2026 | Python Machine Learning For Beginners | Simplilearn thumbnail

Machine Learning With Python Full Course 2026 | Python Machine Learning For Beginners | Simplilearn

The video explains how social media marketing works in practice by focusing on strategy, content, and measurement, and shows how Facebook, Instagram, and YouTube influence brand building, community, and engagement beyond direct sales. It highlights platform differences in purpose and audience, advising brands to tailor SMART goals for each platform and to use color psychology and share of voice as additional levers to boost impact.

00:02:03 read 07:03:35 video 21 chapters
Social Media Marketing Full Course 2026 [FREE] | Social Media Marketing Tutorial | Simplilearn thumbnail

Social Media Marketing Full Course 2026 [FREE] | Social Media Marketing Tutorial | Simplilearn

The talk outlines how social media marketing hinges on strategy, tools, and measurement, emphasizing community, authentic storytelling, and word-of-mouth to build long-term value across platforms. It explains each platform’s distinct goals—LinkedIn for B2B, TikTok for virality, Pinterest for visual SEO, and YouTube as a hybrid of social and search—along with tips like SMART goals, color psychology, and metrics such as share of voice and engagement to plan and assess campaigns.

00:01:35 read 07:03:54 video 16 chapters
Detect Fraud with Power BI And Gen AI | Fraud Detection Using Power BI And Gen AI | Simplilearn thumbnail

Detect Fraud with Power BI And Gen AI | Fraud Detection Using Power BI And Gen AI | Simplilearn

The webinar demonstrates how to catch credit card fraud using Power BI and generative AI, featuring a live data demo and practical steps from data prep to visualization and AI-assisted insights. It also introduces Simply Learn’s AI powered business analyst course and how AI can augment fraud detection work.

00:01:00 read 01:16:39 video 14 chapters
Digital Marketing Full Course 2026 [FREE] | Digital Marketing Tutorial For Beginners | Simplilearn thumbnail

Digital Marketing Full Course 2026 [FREE] | Digital Marketing Tutorial For Beginners | Simplilearn

This video surveys digital marketing foundations—key components, roles, frameworks—and then dives into core topics such as SEO, SEM, content and social marketing, programmatic ads, and the SAVE framework. It also covers advanced paid media targeting, influencer marketing, strategic planning, and practical skills like keyword research, voice search, branding, UI/UX basics, with emphasis on data-driven decisions and postpandemic shifts.

00:01:41 read 05:30:07 video 25 chapters
Social Media Marketing Full Course 2026 [FREE] | Social Media Marketing Tutorial 2026 | Simplilearn thumbnail

Social Media Marketing Full Course 2026 [FREE] | Social Media Marketing Tutorial 2026 | Simplilearn

The video presents a comprehensive social media marketing course covering platform strategies, content creation, audience targeting, analytics, and AI tools, along with buyer personas, storytelling, moment marketing, and the basics of Meta ads for Facebook and Instagram. It also walks through the end-to-end setup and optimization of ads—campaigns, ad sets, and ads—plus audience targeting, placements, bidding, pixel tracking, and essential Ads Manager workflows.

00:01:43 read 05:03:57 video 24 chapters
Applied Data Science With Python Full Course 2026 [Free] | Python For Data Science | Simplilearn thumbnail

Applied Data Science With Python Full Course 2026 [Free] | Python For Data Science | Simplilearn

The video introduces data science with Python, outlining the field, its practical workflow, and the core tools (NumPy, Pandas, Matplotlib/Seaborn) used to clean, analyze, visualize, and model data, while distinguishing it from related fields and previewing the course structure with hands-on exercises. It also teaches practical Pandas DataFrame skills—from creating dataframes from dictionaries and lists and loading CSV/Excel files to indexing, filtering, sorting, time-series processing, encoding categorical data, and plotting.

00:01:43 read 08:09:50 video 19 chapters
Data, Decisions, And Digital Transformation With AI In 2026 | AI Strategy Webinar | Simplilearn thumbnail

Data, Decisions, And Digital Transformation With AI In 2026 | AI Strategy Webinar | Simplilearn

The video introduces Simplilearn’s Organizing for AI program from Oxford Said, outlining how leadership must evolve with AI, the program structure and outcomes, and practical steps for enrollment and applying AI in organizations. It also features guest experts from Oxford discussing the difference between AI capability and leadership readiness, and what learners can expect to gain.

00:00:54 read 00:53:03 video 10 chapters
Machine Learning With Python Full Course 2026 | Python Machine Learning For Beginners | Simplilearn thumbnail

Machine Learning With Python Full Course 2026 | Python Machine Learning For Beginners | Simplilearn

The video covers supervised learning basics with a focus on regression and classification, outlining core concepts, course goals, and how to evaluate models using Python with real data. It provides a detailed walkthrough of regression and classification workflows, emphasizing cross-validation, regularization, data preprocessing, feature engineering, hyperparameter tuning, pipelines, and performance metrics in scikit-learn.

00:01:11 read 06:24:29 video 15 chapters
Machine Learning With Python Full Course 2026 | Python Machine Learning For Beginners | Simplilearn thumbnail

Machine Learning With Python Full Course 2026 | Python Machine Learning For Beginners | Simplilearn

The video provides a Python-focused introduction to machine learning, tying ML to AI and DL and covering supervised, unsupervised, semi-supervised, and reinforcement learning before delving into regression concepts, data preparation, model evaluation, and cross-validation with practical guidance. It then shifts to advanced regression and classification topics, including regularization (L1 and L2), hyperparameter tuning, and pipelines, illustrated with practical Python examples across regression and binary classification tasks, and ends with hands-on practice steps.

00:01:12 read 06:22:54 video 14 chapters

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