Business and Data Analytics in Python
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Course Description:
Welcome to “Business Analytics in Python: Mastering Data-Driven Insights,” where you embark on a transformative journey to unravel the complexities of business analytics using Python. This course is meticulously designed to equip you with the knowledge, skills, and practical experience needed to excel in the fast-evolving world of business analytics.
What You Will Learn:
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Fundamental principles of business and data analytics and their application in real-world scenarios.
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Hands-on proficiency in Python for data collection, manipulation, analysis, and visualization.
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Advanced statistical methods for insightful data analysis and decision-making.
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Techniques in forecasting, regression, and econometrics to predict market trends and business performance.
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Understand how to use time series analysis to predict future performance, including challenging time series like stock prices.
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Practical application of the Meta Prophet model, understanding its components, parameter estimation, and forecasting capabilities.
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Powerful causal inference tools like the Difference in Difference framework and Google Causal Impact model
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Essentials of Markov Models, exploring their significance in predictive analytics.
Course Features:
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Comprehensive video lectures that blend theoretical knowledge with practical applications.
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Interactive Python notebooks and real-world datasets for hands-on learning in Google Colab.
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Case studies and examples from various industries to illustrate the impact of business analytics.
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Quizzes and exercises to reinforce learning and apply concepts.
Who Should Enroll:
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Aspiring data analysts and business professionals looking to leverage data for strategic decision-making.
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IT professionals and software developers aiming to pivot or advance in the field of business analytics.
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Entrepreneurs and business owners seeking to understand and apply data analytics for business growth.
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Anybody desiring a practical, hands-on approach to learning business analytics.
Prerequisites:
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Basic understanding of Python programming.
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Curiosity and willingness to dive into the data-driven world of business analytics.
Go ahead and watch the many preview videos available to peek into most learning modules and see what you will learn.
Embark on this journey with “Business Analytics in Python: Mastering Data-Driven Insights” and transform your ability to analyze, predict, and make informed business decisions using the power of data analytics.
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1Course Details - Overview of your learning journey.Vídeo Aula
Dive into the world of business analytics with this comprehensive overview module. Guided by Dr. Giancarlo Crocetti, an expert with extensive teaching experience and a rich professional background in various industries, you'll embark on a journey to understand the transformative power of Python in business analytics. This introductory video lays the groundwork for your learning adventure, highlighting the course structure, key objectives, and the practical, real-world applications you'll explore.
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2AIM 315 - Business Analytics in Python: Mastering Data-Driven InsightsTexto
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3Preparing your Lab Environment: Introduction to Google LabVídeo Aula
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4How to Download and Use the Resources Provided in this ClassTexto
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5Understanding the Power of Business AnalyticsVídeo Aula
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6The Art and Science of Business AnalyticsVídeo Aula
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7Business Analytics and Big DataVídeo Aula
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8Executing Business Analytics Projects - The CRISP-DM Methodology, Part IVídeo Aula
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9Executing Business Analytics Projects - The CRISP-DM Methodology, Part IIVídeo Aula
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10Executing Business Analytics Projects - The Microsoft TDSP MethodologyVídeo Aula
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11Business Analytics & Data Science ToolsVídeo Aula
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12Knowledge CheckQuestionário
Take this quiz to test your understanding of Business Analytics and the CRISP-DM methodology.
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13Introduction to StatisticsVídeo Aula
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14What is StatisticsVídeo Aula
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15DatasetsVídeo Aula
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16Data TypesVídeo Aula
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17Statistics Vs ProbabilitiesVídeo Aula
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18Should you invest in Bitcoins?Vídeo Aula
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19Knowledge CheckQuestionário
This quiz will test your understanding of the concept of Statistics.
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20Random VariablesVídeo Aula
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211st Measure of Central Tendency: MeanVídeo Aula
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22How good is the Mean?Vídeo Aula
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231st Measure of Spread: Standard DeviationVídeo Aula
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24HANDS ON - Descriptive Statistics - Part IVídeo Aula
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25HANDS ON - Descriptive Statistics - Part IIVídeo Aula
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26Sample Vs PopulationVídeo Aula
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27Degrees of FreedomVídeo Aula
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282nd Measure of Central Tendency: MediumVídeo Aula
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29HANDS ON - Median Household IncomeVídeo Aula
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30Mode, Percentiles, and Box PlotVídeo Aula
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31HANDS ON - Analysis of Median Household Income - Part IVídeo Aula
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32HANDS ON - Analysis of Median Household Income - Part IIVídeo Aula
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33Distributions of Random VariablesVídeo Aula
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34HANDS ON - Service Calls in Washington DC - Part IVídeo Aula
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35HANDS ON - Service Calls in Washington DC - Part IIVídeo Aula
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36HANDS ON - Service Calls in Washington DC - Part IIIVídeo Aula
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37HANDS ON - Service Calls in Washington DC - Part IVVídeo Aula
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38Correlation and Contingency TablesVídeo Aula
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39HANDS ON - Analyzing Blood Pressure & Cholesterol and Comparing SalariesVídeo Aula
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40Knowledge CheckQuestionário
This quiz will test your knowledge of Descriptive Statistics.
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41Sample & DataVídeo Aula
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42Population & Sampling TechniquesVídeo Aula
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43HANDS ON - Random Sampling - Part IVídeo Aula
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44HANDS ON - Stratified Sampling - Part IIVídeo Aula
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45HANDS ON - Clustering Sampling - Part IIIVídeo Aula
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46Parameter Estimation ProcedureVídeo Aula
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47Mean of the Sample as ParameterVídeo Aula
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48Bootstrapping & Sample Distribution of the MeansVídeo Aula
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49HANDS ON - Sample Distribution of the Means - Part IVídeo Aula
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50HANDS ON - Sample Distribution of the Means - Part IIVídeo Aula
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51Central Limit TheoremVídeo Aula
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52HANDS ON - Central Limit Theorem - Part IVídeo Aula
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53HANDS ON - Central Limit Theorem - Part IIVídeo Aula
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54HANDS ON - Central Limit Theorem - Part IIIVídeo Aula
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55Point EstimatesVídeo Aula
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56Confidence IntervalsVídeo Aula
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57HANDS ON - Confidence IntervalsVídeo Aula
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58Knowledge CheckQuestionário
This quiz will test your understanding of Inferential Statistics.