Croissance axée sur les données : Comment faire croître votre entreprise grâce aux données

Aperçu

Learn How to Adopt the Growth Mindset and Build a Successful Data-Driven Business What you'll learn:

How to adopt the data-driven growth mindsetTransform your company into a data-driven enterpriseDevelop the growth mindsetUnderstand the 3 levels of data maturityDiagnose the current state of affairs in your businessUncover business value by using dataStart making data-driven decisionsBuild a data-driven businessEnsure your business makes disciplined data-driven decisionsLeverage the power of A/B testing and experimentationAcquire the necessary budget to hire talent and invest in data infrastructureGet your business to data maturity level 3 What is data-driven decision making?Why is it essential for your business?How to take actionable steps to apply the growth mindset framework?By the end of this course, you will be able to answer these questions and will have a clear idea of how to transform your company into a data-driven enterprise.About the authorsTina Huang is one of the most popular data YouTubers with more than 350k subscribers. She holds a Master’s degree (Computer and Information Technology) from the University of Pennsylvania and has worked as a data scientist at Meta.Davis Balaba, PhD is a data science manager with significant experience in one of the MANGA companies.Why is this course different?The authors are not consultants who want to sell abstract ideas.

They are a pair of data science manager and data scientist who have actually implemented the strategies discussed in the course in their own work and seen the results. If you are a manager or a small business owner, you will know that strategy is crucial, but implementation is a whole other beast.

Davis and Tina are here to help you develop the growth mindset and help you start making data-driven decisions.The growth mindset frameworkWhat is the growth mindset? Why was it such a revolution?The growth mindset manifests itself in a culture of discontent of the current state.

The underlying assumption is that there is always more value to be uncovered and data is the path to unlock that value.What if our business does not have as much data as a large tech company?Growth is a mindset. Data fuels your growth thinkingYou don’t realize how much data you have until you start focusing on itThe course also provides actionable advice on how to get started on your data journey.

You don’t have to have big data to be data-driven.Why is the growth mindset important?This course is an amazing collection of videos that teach you how to approach data science work with a growth mindset. This mindset can be the key lever to grow your business.The growth mindset is important for three reasons:

Ensures that you always work on the most important problems firstHelps clarify what outcomes you can expectFocused on the desired end-result and encourages an execution mindsetHow will this course help you?You want to grow your company by trying to ensure it makes disciplined data-driven decisions.In the absence of prior data, the associated risk to a data science investment is assumed to be high.

When the associated risk is high, decision makers’ desire to invest is lower.Where does that leave you as a data scientist, a data science team, or a data science leader that is trying to accelerate your company’s data journey?This course will show you how approaching your work with a growth mindset can help you reduce the associated risk to data investment.Davis and Tina propose low-cost ways to de-risk the decision for the budget owner. In the process, you will acquire the budget to get the talent, skills, and the tools you need to fully unlock the value hidden in your data.Does the content of this course apply to all industries and verticals?The answer is yes.

In any vertical, in which you can have multiple challenges or multiple potential solutions (which is all businesses) coupled with limited resources, having a growth mindset will always help you prioritize better.How is the course structured?If this sounds a bit vague to you, no problem. Let’s be more concrete with full examples of what you can achieve at each stage of maturity.Assuming we can define three stages of data maturity (level 1, level 2, level 3), Tina and Davis will explain what the different stages look like (in case you are not sure which stage you are in) and discuss how to use the growth mindset in that stage and what you can accomplish using the data you have.Then the lessons will be hands-on and Davis would walk you through a full project, so you can see the exact steps in implementation.

At the end of each section, Tina will discuss, what are the steps you need to undertake to get to the next stage of data maturity.Sounds like one of the most valuable online courses you have come across, doesn’t it?Well then what are you waiting for?Buy the course now and get started on your data-driven journey today!

Programme

• Introduction à la Croissance Axée sur les Données
Aperçu de la prise de décision basée sur les données
Importance des données dans le commerce moderne
Histoires de réussite de la croissance axée sur les données
• Comprendre les Données : Types et Sources
Données structurées vs non structurées
Sources de données internes (CRM, données de ventes, etc.)
Sources de données externes (tendances du marché, réseaux sociaux, etc.)
• Collecte et Intégration des Données
Méthodes et outils de collecte de données
Entrepôt de données et intégration
Assurer la qualité et la précision des données
• Techniques d'Analyse de Données
Analytique descriptive et rapportage
Analytique prédictive et prévision
Analytique prescriptive pour la prise de décision
• Outils et Technologies pour l'Analyse de Données
Vue d'ensemble des plateformes d'analyse de données (par exemple, Excel, Power BI, Tableau)
Introduction aux langages de programmation (par exemple, Python, R)
Utilisation de l'apprentissage automatique pour des insights commerciaux
• Établir une Culture Axée sur les Données
Encourager la littératie des données parmi les employés
Gouvernance et éthique des données
Stratégies de gestion du changement pour l'adoption des données
• Études de Cas et Applications
Applications réussies de stratégies axées sur les données dans diverses industries
Leçons tirées des échecs axés sur les données
• Mise en Œuvre de Stratégies Axées sur les Données
Identifier les indicateurs clés de performance (ICP)
Construire une feuille de route axée sur les données
Surveillance continue et amélioration
• Défis et Tendances Futures
Défis courants dans la prise de décision basée sur les données
L'avenir des données massives et de l'IA dans la croissance des entreprises
Technologies émergentes et leur impact
• Conclusion et Prochaines Étapes
Résumé des points clés
Ressources pour un apprentissage approfondi
Développer un plan d'action personnel pour la croissance axée sur les données

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Enseigné par

365 Careers, Davis Balaba and Tina Huang

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Matières

Business