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

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Adult
Infohash	e38aee030f4c0924e9f17334004c5fdc3c632078
Size:	4.9 GB in 96 files
Release Date(s):	Torrent Release: 02-11-2022 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

Lynda and other Courses >>> https://freecoursesonline.me/

Forum for discussion >>> https://onehack.us/

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

Filename		Size
	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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