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[FreeCoursesOnline Me] ZeroToMastery - Python for Business Data Analytics & Intelligence

[FreeCoursesOnline Me] ZeroToMastery - Python for Business Data Analytics & Intelligence

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Description
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ZeroToMastery - Python for Business Data Analytics & Intelligence [FCO]



About



Become a top Business Data Analyst. We’ll teach you everything you need to go from a complete beginner to getting hired as an analytics professional. You’ll learn to use Python and the latest industry tools and techniques to make data-driven decisions.



Course Overview



We guarantee you this is the most up-to-date and comprehensive course on learning how to use Python and the latest industry tools and techniques for business data analysis. You'll learn analytics by using real-world data and examples, including the data used in the hit movie Moneyball, to become a top Business Data Analyst and get HIRED this year.



What You'll Learn



- The skills to become a professional Business Analyst and get hired

- Step-by-step guidance from an industry professional

- Learn to use Python for statistics, causal inference, econometrics, segmentaiton, matching, and predictive analytics

- Master the latest data and business analysis tools and techniques including Google Causal Impact, Facebook Prophet, Random Forest and much more

- Participate in challenges and exercises that solidify your knowledge for the real world

- Learn what a Business Analyst does, how they provide value, and why they're in demand

- Analyze real datasets related to Moneyball, wine quality, Wikipedia searches, employee remote work satisfaction, and more

- Learn how to make data-driven decisions

- Enhance your proficiency with Python, one of the most popular programming languages

- Use case studies to learn how analytics have changed the world and help individuals and companies succeed



Are there any prerequisites for this course?



- A computer (Windows, Mac, or Linux) with an internet connection

- Basic Python knowledge. Don't know Python? No problem, you'll get access to our Python Bootcamp here as well where we'll teach you Python from scratch

- A willingness and enthusiasm to learn and take action



Who is this course for?



- Developers that want a step-by-step guide to learn and master Business Data Analytics from scratch all the way to being able to get hired at a top company

- Students who want to go beyond all of the "beginner" Python and Data Analytics tutorials out there

- Developers that want to use their skills in a new discipline

- Programmers who want to learn one of the most in-demand skills

- Developers that want to be in the top 10% of Business Data Analysts

- Students who want to gain experience working on large, interesting datasets

- Bootcamp or online tutorial graduates that want to go beyond the basics

- Students who want to learn from an industry professional with real-world experience, not just another online instructor that teaches off of documentation



Instructor(s)



Hi, I'm Diogo Resende!

Diogo has been working for over a decade as a data scientist. He loves harnessing the power of data and analytics to understand what has happened, what will happen next, and how to use that information to your advantage.



Your instructor (Diogo) isn't just an expert with years of real-world professional experience. He has been in your shoes. He makes learning fun. He makes complex topics feel simple. He will motivate you. He will push you. And he will go above and beyond to help you succeed.



General Info:



Author(s): Diogo Resende

Language: English

Updated: 2022

Videos Duration: 15.5 hours

Course Source: https://zerotomastery.io/courses/learn-business-analytics/



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File list
  • [FreeCoursesOnline Me] ZeroToMastery - Python for Business Data Analytics & Intelligence
  • 0. Websites you may like/1. Get Free Premium Accounts Daily On Our Discord Server!.txt 1.3 KB
  • 1 Section 1 - Introduction/Exercise_ Meet Your Classmates and Instructor.pdf 250.3 KB
  • 1 Section 1 - Introduction/Introduction/Introduction.mp4 25.1 MB
  • 1 Section 1 - Introduction/Python for Business Analytics & Intelligence/Python for Business Analytics & Intelligence.mp4 169.8 MB
  • 1 Section 1 - Introduction/Setting up the Course Material/Setting up the Course Material.mp4 34.5 MB
  • 1 Section 1 - Introduction/The Modern Day Business Analyst/The Modern Day Business Analyst.mp4 11 MB
  • 10 Section 8 - Matching/CASE STUDY - Catholic Schools & Standardized Tests (Briefing)/CASE STUDY - Catholic Schools & Standardized Tests (Briefing).mp4 3.5 MB
  • 10 Section 8 - Matching/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 34.8 MB
  • 10 Section 8 - Matching/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 112.2 MB
  • 10 Section 8 - Matching/Common Support Region/Common Support Region.mp4 14.2 MB
  • 10 Section 8 - Matching/Matching - Game Plan/Matching - Game Plan.mp4 5.5 MB
  • 10 Section 8 - Matching/Matching/Matching.mp4 8.4 MB
  • 10 Section 8 - Matching/My Experience with Matching/My Experience with Matching.mp4 5.4 MB
  • 10 Section 8 - Matching/Python - Chi-square Loop/Python - Chi-square Loop.mp4 23.2 MB
  • 10 Section 8 - Matching/Python - Chi-square Test/Python - Chi-square Test.mp4 38.8 MB
  • 10 Section 8 - Matching/Python - Cleaning and Preparing Dataset/Python - Cleaning and Preparing Dataset.mp4 28.8 MB
  • 10 Section 8 - Matching/Python - Common Support Region Visualization/Python - Common Support Region Visualization.mp4 9.1 MB
  • 10 Section 8 - Matching/Python - Comparing Means/Python - Comparing Means.mp4 20 MB
  • 10 Section 8 - Matching/Python - Directory and Libraries/Python - Directory and Libraries.mp4 16.7 MB
  • 10 Section 8 - Matching/Python - Education Variables/Python - Education Variables.mp4 44.2 MB
  • 10 Section 8 - Matching/Python - Loading Data/Python - Loading Data.mp4 31.3 MB
  • 10 Section 8 - Matching/Python - Logistic Regression and Debugging/Python - Logistic Regression and Debugging.mp4 92.7 MB
  • 10 Section 8 - Matching/Python - Matching/Python - Matching.mp4 43.5 MB
  • 10 Section 8 - Matching/Python - Other Variables/Python - Other Variables.mp4 23.8 MB
  • 10 Section 8 - Matching/Python - Outcome Visualization/Python - Outcome Visualization.mp4 9.1 MB
  • 10 Section 8 - Matching/Python - Preparing for Common Support Region/Python - Preparing for Common Support Region.mp4 35 MB
  • 10 Section 8 - Matching/Python - Race Variable Transformation/Python - Race Variable Transformation.mp4 86.1 MB
  • 10 Section 8 - Matching/Python - Robustness Check - Removing 1 confounder/Python - Robustness Check - Removing 1 confounder.mp4 29.4 MB
  • 10 Section 8 - Matching/Python - Robustness Check - Repeated experiments/Python - Robustness Check - Repeated experiments.mp4 57.4 MB
  • 10 Section 8 - Matching/Python - T-Test Loop/Python - T-Test Loop.mp4 23.8 MB
  • 10 Section 8 - Matching/Python - T-Test/Python - T-Test.mp4 26.2 MB
  • 10 Section 8 - Matching/Robustness Checks/Robustness Checks.mp4 4.6 MB
  • 10 Section 8 - Matching/The Curse of Dimensionality/The Curse of Dimensionality.mp4 5.3 MB
  • 10 Section 8 - Matching/Unconfoundedness/Unconfoundedness.mp4 5.2 MB
  • 11 PART C_ SEGMENTATION/What is Segmentation and why is it important.pdf 208.5 KB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CASE STUDY - Online Shopping (Briefing)/CASE STUDY - Online Shopping (Briefing).mp4 1.6 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 10.9 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 38.4 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Applying RFM Function/Python - Applying RFM Function.mp4 8.6 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Creating Sales Variable/Python - Creating Sales Variable.mp4 14.3 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Customer Level Aggregation/Python - Customer Level Aggregation.mp4 21.6 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Date Variable/Python - Date Variable.mp4 11.5 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Directory and Libraries/Python - Directory and Libraries.mp4 9.7 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Loading Data/Python - Loading Data.mp4 21.2 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Monetary Variable/Python - Monetary Variable.mp4 5.2 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Quartiles/Python - Quartiles.mp4 23 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Results Summary/Python - Results Summary.mp4 14.9 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - RFM Function/Python - RFM Function.mp4 11.4 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - RFM Score/Python - RFM Score.mp4 6.6 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Tidying up Dataframe/Python - Tidying up Dataframe.mp4 12.1 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/RFM - Game Plan/RFM - Game Plan.mp4 2.3 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/RFM Model/RFM Model.mp4 8.1 MB
  • 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Value Based Segmentation/Value Based Segmentation.mp4 4.8 MB
  • 13 Section 10 - Gaussian Mixture/AIC and BIC/AIC and BIC.mp4 5.8 MB
  • 13 Section 10 - Gaussian Mixture/CASE STUDY - Credit Cards #1 (Briefing)/CASE STUDY - Credit Cards #1 (Briefing).mp4 2.6 MB
  • 13 Section 10 - Gaussian Mixture/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 36.8 MB
  • 13 Section 10 - Gaussian Mixture/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 216.4 MB
  • 13 Section 10 - Gaussian Mixture/Clustering/Clustering.mp4 4.6 MB
  • 13 Section 10 - Gaussian Mixture/Gaussian Mixture - Game Plan/Gaussian Mixture - Game Plan.mp4 2.8 MB
  • 13 Section 10 - Gaussian Mixture/Gaussian Mixture Model/Gaussian Mixture Model.mp4 8 MB
  • 13 Section 10 - Gaussian Mixture/My Experience with Segmentation/My Experience with Segmentation.mp4 7.2 MB
  • 13 Section 10 - Gaussian Mixture/Python - Cluster Prediction and Assignment/Python - Cluster Prediction and Assignment.mp4 12.9 MB
  • 13 Section 10 - Gaussian Mixture/Python - Directory and Data/Python - Directory and Data.mp4 14.8 MB
  • 13 Section 10 - Gaussian Mixture/Python - Gaussian Mixture Model/Python - Gaussian Mixture Model.mp4 9.1 MB
  • 13 Section 10 - Gaussian Mixture/Python - Interpretation/Python - Interpretation.mp4 104 MB
  • 13 Section 10 - Gaussian Mixture/Python - Load Data/Python - Load Data.mp4 20.4 MB
  • 13 Section 10 - Gaussian Mixture/Python - Optimal Number of Clusters/Python - Optimal Number of Clusters.mp4 29.3 MB
  • 13 Section 10 - Gaussian Mixture/Python - Transform Character variables/Python - Transform Character variables.mp4 14.2 MB
  • 14 PART D_ PREDICTIVE ANALYTICS/What are Predictive Analytics and why are they important.pdf 186.1 KB
  • 15 Section 11 - Random Forest/CASE STUDY - Credit Cards #2 (Briefing)/CASE STUDY - Credit Cards #2 (Briefing).mp4 1.2 MB
  • 15 Section 11 - Random Forest/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 34.1 MB
  • 15 Section 11 - Random Forest/CHALLENGE - Solutions (Part 1)/CHALLENGE - Solutions (Part 1).mp4 54.5 MB
  • 15 Section 11 - Random Forest/CHALLENGE - Solutions (Part 2)/CHALLENGE - Solutions (Part 2).mp4 49 MB
  • 15 Section 11 - Random Forest/Ensemble Learning and Random Forest/Ensemble Learning and Random Forest.mp4 4.3 MB
  • 15 Section 11 - Random Forest/How Decision Trees Work/How Decision Trees Work.mp4 9.1 MB
  • 15 Section 11 - Random Forest/Parameter Tuning/Parameter Tuning.mp4 5.9 MB
  • 15 Section 11 - Random Forest/Python - Classification Report and F1 score/Python - Classification Report and F1 score.mp4 24.9 MB
  • 15 Section 11 - Random Forest/Python - Directory and Libraries/Python - Directory and Libraries.mp4 9.8 MB
  • 15 Section 11 - Random Forest/Python - Feature Importance/Python - Feature Importance.mp4 19.5 MB
  • 15 Section 11 - Random Forest/Python - Isolate X and Y/Python - Isolate X and Y.mp4 15.1 MB
  • 15 Section 11 - Random Forest/Python - Loading Data/Python - Loading Data.mp4 18.5 MB
  • 15 Section 11 - Random Forest/Python - Parameter Grid/Python - Parameter Grid.mp4 15.7 MB
  • 15 Section 11 - Random Forest/Python - Parameter Tuning/Python - Parameter Tuning.mp4 43.8 MB
  • 15 Section 11 - Random Forest/Python - Predictions/Python - Predictions.mp4 4.9 MB
  • 15 Section 11 - Random Forest/Python - Random Forest Model/Python - Random Forest Model.mp4 11.7 MB
  • 15 Section 11 - Random Forest/Python - Summary Statistics/Python - Summary Statistics.mp4 20.9 MB
  • 15 Section 11 - Random Forest/Python - Training and Test Set/Python - Training and Test Set.mp4 27.4 MB
  • 15 Section 11 - Random Forest/Python - Transform Object into Numerical Variables/Python - Transform Object into Numerical Variables.mp4 9.9 MB
  • 15 Section 11 - Random Forest/Random Forest - Game Plan/Random Forest - Game Plan.mp4 3 MB
  • 15 Section 11 - Random Forest/Random Forest Quirks/Random Forest Quirks.mp4 3.8 MB
  • 16 Section 12 - Facebook Prophet/Additive vs [TutFlix.ORG]. Multiplicative Seasonality/Additive vs. Multiplicative Seasonality.mp4 6.1 MB
  • 16 Section 12 - Facebook Prophet/CASE STUDY - Wikipedia (Briefing) [TutFlix.ORG]/CASE STUDY - Wikipedia (Briefing).mp4 2.4 MB
  • 16 Section 12 - Facebook Prophet/CHALLENGE - Introduction [TutFlix.ORG]/CHALLENGE - Introduction.mp4 20 MB
  • 16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 1) [TutFlix.ORG]/CHALLENGE - Solutions (Part 1).mp4 56.7 MB
  • 16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 2) [TutFlix.ORG]/CHALLENGE - Solutions (Part 2).mp4 92.6 MB
  • 16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 3) [TutFlix.ORG]/CHALLENGE - Solutions (Part 3).mp4 63.7 MB

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