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Data Science and Machine Learning for Business Professionals · LearnSpace
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Data Science and Machine Learning for Business Professionals

Курс от John Wiley & Sons
Средний≈ 10.7 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Based on the best-selling book, Becoming a Data Head, by Alex J. Gutman and Jordan Goldmeier. This course provides learners with the foundational skills to think critically about data and turn insights into actionable decisions. It covers key areas in data science, statistics, and machine learning, helping learners analyze data confidently and communicate findings effectively in diverse professional settings. By taking this course, you'll build both technical knowledge and professional judgment in data-driven decision-making. You'll gain the ability to challenge assumptions, evaluate machine learning techniques, and apply statistical principles to real-world data to derive meaningful insights. What makes this course unique is its blend of theory and real-world applications. It equips you with a comprehensive understanding of data science and machine learning methods, while emphasizing practical strategies and effective communication to non-technical stakeholders. This course is designed for professionals, students, or aspiring data practitioners with a basic understanding of data concepts. Whether you're in business, technology, or analytics, the course is perfect for anyone looking to enhance their data analysis skills without requiring advanced math or programming knowledge. From Becoming a Data Head Copyright © 2021 by John Wiley and Sons Inc Indianapolis Indiana Used by arrangement with John Wiley and Sons Inc

Навыки, которые вы освоите

Data ScienceBusiness CommunicationData LiteracyUnstructured DataMachine Learning MethodsData VisualizationPredictive ModelingAnalytical SkillsMachine LearningStatisticsProbability & StatisticsText MiningStatistical MethodsDeep LearningUnsupervised LearningData CollectionData AnalysisStatistical InferenceCommunicationProbability

Программа курса

15 модулей · 84 учебных материалов

01What Is the Problem?6 материалов

Lesson 1

Course OverviewВидеоWhat Is the Problem? - Overview VideoВидеоIntroductionЧтениеWho Does This Problem Affect?Чтение

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Wiley Skills Network

Преподаватель курса

Data Science and Machine Learning for Business Professionals
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 10.7 ч

15 модулей

Язык: Английский

Часть программы вашего университета
Customer PerceptionЧтение
Aligning Data Projects with Real Business NeedsЗадание
02What Is Data?4 материалов

Lesson 1

What Is Data? - Overview VideoВидеоIntroductionЧтениеHow Data Is Collected and StructuredЧтениеFoundations of Data LiteracyЗадание
03Prepare to Think Statistically4 материалов

Lesson 1

Prepare to Think Statistically - Overview VideoВидеоIntroductionЧтениеCase Study: Kidney Cancer RatesЧтениеFoundations of Statistical ReasoningЗадание
04Argue with the Data6 материалов

Lesson 1

Argue with the Data - Overview VideoВидеоIntroductionЧтениеMissing Data DisasterЧтениеWho Collected the Data?ЧтениеHow Did You Deal with Missing Values?ЧтениеArguing with the Data: Challenging Assumptions and Improving Decision-MakingЗадание
05Explore the Data4 материалов

Lesson 1

Explore the Data - Overview VideoВидеоIntroductionЧтениеDid You Discover Any Relationships?ЧтениеThe Mindset Behind Effective Data ExplorationЗадание
06Examine the Probabilities8 материалов

Lesson 1

Examine the Probabilities - Overview VideoВидеоIntroductionЧтениеUsing "==" Instead of "="ЧтениеOne Thing or the OtherЧтениеNext StepsЧтениеDon't Swap DependenciesЧтениеEnsure the Probabilities Have MeaningЧтениеNavigating Probability: From Intuition to CalibrationЗадание
07Challenge the Statistics7 материалов

Lesson 1

Challenge the Statistics - Overview VideoВидеоIntroductionЧтениеEvidence to the ContraryЧтениеThe Process of Statistical InferenceЧтениеWhat Is the Null Hypothesis?ЧтениеCan I See the Confidence Intervals?ЧтениеChallenging Common Misunderstandings in StatisticsЗадание
08Search for Hidden Groups5 материалов

Lesson 1

Search for Hidden Groups - Overview VideoВидеоIntroductionЧтениеPCA SummaryЧтениеClusteringЧтениеAnalyzing Hidden Patterns in Data: Clustering and PCA ApplicationsЗадание
09Understand the Regression Model6 материалов

Lesson 1

Understand the Regression Model - Overview VideoВидеоIntroductionЧтениеLinear Regression: What It Gives YouЧтениеLinear Regression: What Confusion It CausesЧтениеData LeakageЧтениеRegression Model Integrity and InterpretationЗадание
10Understand the Classification Model7 материалов

Lesson 1

Understand the Classification Model - Overview VideoВидеоIntroductionЧтениеLogistic RegressionЧтениеLogistic Regression: So What?ЧтениеEnsemble MethodsЧтениеChoosing the Right Decision ThresholdЧтениеClassification Model Fundamentals and EvaluationЗадание
11Understand Text Analytics8 материалов

Lesson 1

Understand Text Analytics - Overview VideoВидеоIntroductionЧтениеQuick Thoughts on Word CloudsЧтениеWord EmbeddingsЧтениеTopic ModelingЧтениеNaïve BayesЧтениеPractical Considerations When Working with TextЧтениеText Analytics: From Clustering to EmbeddingsЗадание
12Conceptualize Deep Learning8 материалов

Lesson 1

Conceptualize Deep Learning - Overview VideoВидеоIntroductionЧтениеHow a Neural Network LearnsЧтениеApplications of Deep LearningЧтениеConvolutional Neural NetworksЧтениеTransfer Learning (or How to Work with Small Datasets)ЧтениеEthics in Deep LearningЧтениеCore Principles of Deep LearningЗадание
13Watch Out for Pitfalls5 материалов

Lesson 1

Watch Out for Pitfalls - Overview VideoВидеоIntroductionЧтениеSimpson's ParadoxЧтениеStatistical and Machine Learning PitfallsЧтениеRecognizing Hidden Biases and Cognitive Pitfalls in AnalysisЗадание
14Know the People and Personalities3 материалов

Lesson 1

Know the People and Personalities - Overview VideoВидеоKnow the People and Personalities - The ReadingЧтениеNavigating Team Dynamics and Technical IntegrityЗадание
15What's Next?3 материалов

Lesson 1

What's Next? - Overview VideoВидеоWhat's Next? - The ReadingЧтениеNavigating Challenges in Modern Data WorkЗадание