AI for Data & Product: Analytics, Strategy & Decisions

Learn data collection and acquisition foundations, from surveys to web scraping and sensors. Distinguish internal from external sources using automation tools like Python and extract, transform, and load processes.

Refine and transform raw data to ensure accuracy and reliability, using techniques like imputation, outlier detection and handling, normalization, aggregation, and encoding with tools such as Excel, Python, and R.

Explore inferential statistics to test hypotheses, quantify uncertainty with confidence intervals, and model relationships using correlation, regression, anova, and chi-square to drive data-driven decisions.

Translate data analysis into clear, actionable business insights and recommendations that inform strategy, using well-structured reports and visuals for non-technical stakeholders.

Build a professional data analyst portfolio with diverse projects in data cleaning, analysis, visualization, and modeling, documenting the process using Excel, SQL, Python or R, and Tableau.

Explore data analyst career paths, market trends, and growth opportunities across finance, healthcare, retail, marketing, and tech, while refining resumes and interview prep with SQL, Python, R, and data visualization.

Explore ai prompt engineering as the art of communicating with ai models to optimize ideation, analysis, creation, and feedback, while understanding limits like hallucination, bias, and outdated knowledge.

Learn how AI-powered data and ChatGPT apply to product management and innovation, guided by Alex, head of the School of Business and Management at MTF.

Understand chatgpt as a powerful language model for text generation and conversation, and learn to craft effective prompts with context and clarity for product tasks like user stories.

Leverage ChatGPT to speed up competitive analysis through prompt engineering, analyzing reviews at scale, and identifying market gaps and emerging trends, with practical prompts and templates.

Learn to craft effective prompts for ChatGPT by defining objectives, audience, and context, and using task descriptions, roles, and boundaries to tailor outputs for competitor analysis.

Brainstorm and generate product ideas with ChatGPT as a collaborative partner, exploring variations, design options, pricing models, and marketing approaches while learning structured prompt techniques to overcome creative blocks.

Develop and refine product concepts by elaborating ideas into concrete features, user flows, and stories, while exploring technical, market, and revenue considerations with AI-assisted brainstorming.

Brainstorm 20 names and 10 taglines to build a branding layer with the right tone, then test ideas with focus groups and surveys for a meal planning app.

Leverage AI to elicit user requirements by crafting interview guides, analyzing transcripts with thematic and sentiment insights, and generating user stories plus acceptance criteria.

Use ai to automate documentation tasks, with ChatGPT generating concise summaries from reports, drafting facts sections and user guides, and enforcing consistency across project documents.

ChatGPT helps generate potential roadmap options and compare strategic directions such as market entry, product expansion, and diversification, with milestones, dependencies, risk flags, and visual timelines.

learn to communicate a product roadmap effectively by tailoring concise summaries and visuals for executives, stakeholders, and the development team, using ChatGPT to craft audience-specific narratives and messages.

Generate user testing scripts and probing questions to test usability, track metrics like time on task and success rate, define success criteria, and use ChatGPT to analyze feedback for insights.

Leverage AI to identify accessibility issues and generate design recommendations, referencing WCAG guidelines to improve alternative texts, color contrast, keyboard navigation, and accessibility for visual, motor, cognitive, and hearing impairments.

Use ai tools to generate initial drafts for website copy, headlines, social posts, and email campaigns; tailor messaging to audience segments with tones and storytelling that emphasize benefits.

Develop comprehensive product launch plans and communication strategies using ChatGPT, outlining pre-launch, launch, and post-launch phases, timelines, milestones, and materials like press releases and teasers.

Analyze marketing performance with ChatGPT to summarize website analytics, social media insights, and email metrics, highlight trends, and generate data-driven optimization ideas for campaigns and A/B tests.

Interpret your data to identify areas for product improvement and use ChatGPT to analyze feedback, perform sentiment analysis, surface key issues, and generate hypotheses for A/B tests.

Embrace privacy by design to minimize data collection and use encryption, access controls, and anonymisation. Ensure transparency, consent, and clear data retention policies to comply with GDPR, CCPA, and PIPEDA.

Navigate the evolving landscape of intellectual property and copyright for AI generated content, clarifying ownership, terms of service, attribution, and licensing to ensure compliance and originality.

Identify and mitigate bias in AI outputs by diversifying training data, applying fairness metrics, and auditing results to build inclusive, fair, and ethical AI-driven products.

Master quality prompts—from basic, to focused, to comprehensive—and iterate on AI outputs. Apply critical thinking to assess data privacy and security, IP and copyright, bias, and transparency in product management.

Learn product development and management from definition to lifecycle optimization, including user-centered design, idea generation, validation, prototyping, testing, and agile implementation.

Explore how product development and management drive innovation through ideation, design, testing, and commercialization, guiding the full product life cycle for business growth in dynamic markets.

Generate and refine product ideas through brainstorming, customer insights, and market trend analysis, then validate concepts with prototypes, user testing, and feasibility assessments.

Explore usability testing and user experience evaluation with real users to identify pain points, collect actionable feedback, and validate product usability through in-person and remote tests.

Plan and execute a strategic product launch and commercialization by defining objectives, audiences, messaging, and cross-functional collaboration, then select go-to-market channels, set pricing, design packaging, and run promotional campaigns.

Examine the product lifecycle from introduction to decline to identify stage-specific strategies. Optimize the portfolio with BCG matrix and life cycle analysis to guide resource allocation.

Explore agile product development as a mindset of adaptability, collaboration, and customer centricity that delivers value through iterative work and feedback, while applying principles and practices like Scrum and Lean.

Identify and monitor KPIs and metrics such as customer acquisition costs, customer lifetime value, product adoption rate, and user engagement, and drive data-driven decisions to improve product performance.

Explore real-world product success stories from Apple, Tesla, Netflix, Kindle, and Google, revealing how vision, execution, sustainability, and global expansion drive ecosystem and user experience.

Explore scrum as an agile, empirical framework that uses transparency, inspection, and adaptation to deliver small increments, maximize customer satisfaction, and govern product backlog, sprint backlog, and events.

Master PMP methodology by exploring five process groups, ten PMBoK knowledge areas, and tools like CPM, Gantt charts, and earned value management for project success.

Compare agile, scrum and PMP to highlight their similarities in delivering value, collaboration, and risk management, and understand how differences in planning, governance, and roles guide when to use each.

Learn to transform overwhelming data into clear, compelling stories by understanding your audience, defining objectives, and applying ethical implications and visual storytelling to drive better decisions.

Decode the audience context, needs, and potential biases to set a clear objective and channel, then craft ethical data stories with a three minute story, big idea, and storyboard.

Choose visuals that amplify your message: text for numbers, line charts for trends, scatter plots for relationships, and bar charts with a zero baseline for comparisons, avoiding misleading pie charts.

Eliminate clutter and non-informative elements to sharpen data visuals. Use contrast, alignment, whitespace, and a clear visual hierarchy to guide the audience and tell a precise data story.

Master guiding your audience’s attention by using preattentive attributes such as color, size, and intensity to highlight key data, build visual hierarchy, and tell a clear data story.

Turn raw data into a compelling data story by weaving plot, twists, emotion, and visuals into a journey with a clear call to action, connecting audiences through shared understanding.

Achieve clear data storytelling by aligning horizontal logic and vertical logic, linking each point to evidence, using reverse storyboarding, and ethically reinforcing insights.

Analyze real world data visualizations to sharpen clarity, storytelling, and ethical practices, avoid irrelevant visuals, and apply fresh perspective strategies like explain it to a child, feedback, and paper sketching.

Master data storytelling in the ai-powered data and product masterclass by decoding context, understanding audience biases, and crafting compelling narratives with visuals that highlight insights and drive action.

Pause to reflect on what worked and what didn't, and decide what to carry forward in 2026. AI is a baseline; use it responsibly to enhance judgment, decisions, and outcomes.

In 2026, the durable workflow centers on clear problem framing, high quality inputs, and an AI assistant. Human validation and purposeful communication turn insights into meaningful outcomes.

In 2026, professionals are judged by prioritization and outcomes, not volume or activity. They gain advantage through reliability, explainability, and ownership of decisions across roles.

in 2026, work across all roles centers on framing problems before solving and negotiating solutions across teams, with ambiguity normal and explanations clear and concise under time pressure.

Distinguish replaceable work from defensible work, and focus on judgment, trust, and domain depth to stay relevant in 2026.

Stop unimpactful busy work and focus on what moves outcomes forward, keep habits that create enduring value, and build one habit that strengthens judgment to boost trust across any discipline.