[GigaCourse.com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

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Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included

Description

Extremely Hands-On... Incredibly Practical... Unbelievably Real!

This is not one of those fluffy classes where everything works out just the way it should and your training is smooth sailing. This course throws you into the deep end.

In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities - you name it!

This course will give you a full overview of the Data Science journey. Upon completing this course you will know:

How to clean and prepare your data for analysis
How to perform basic visualisation of your data
How to model your data
How to curve-fit your data
And finally, how to present your findings and wow the audience

This course will give you so much practical exercises that real world will seem like a piece of cake when you graduate this class. This course has homework exercises that are so thought provoking and challenging that you will want to cry... But you won't give up! You will crush it. In this course you will develop a good understanding of the following tools:

SQL
SSIS
Tableau
Gretl

This course has pre-planned pathways. Using these pathways you can navigate the course and combine sections into YOUR OWN journey that will get you the skills that YOU need.

Or you can do the whole course and set yourself up for an incredible career in Data Science.

The choice is yours. Join the class and start learning today!

Created by Kirill Eremenko, SuperDataScience Team
Last updated 4/2020
English
English

File list

[GigaCourse.com] Udemy - Data Science A-Z™ Real-Life Data Science Exercises Included
1. Get Excited/1. Welcome to Data Science A-Z™.mp4 48.8 MB
1. Get Excited/1. Welcome to Data Science A-Z™.srt 7.4 KB
1. Get Excited/2. BONUS Learning Paths.html 2.4 KB
10. Multiple Linear Regression/1. Intro (what you will learn in this section).mp4 27.7 MB
10. Multiple Linear Regression/1. Intro (what you will learn in this section).srt 2 KB
10. Multiple Linear Regression/10. Section Recap.mp4 22.6 MB
10. Multiple Linear Regression/10. Section Recap.srt 6.8 KB
10. Multiple Linear Regression/2. Caveat assumptions of a linear regression.mp4 6.2 MB
10. Multiple Linear Regression/2. Caveat assumptions of a linear regression.srt 2.7 KB
10. Multiple Linear Regression/3. Get the dataset.mp4 43.6 MB
10. Multiple Linear Regression/3. Get the dataset.srt 6.4 KB
10. Multiple Linear Regression/4. Dummy Variables.mp4 51.6 MB
10. Multiple Linear Regression/4. Dummy Variables.srt 12.1 KB
10. Multiple Linear Regression/5. Dummy Variable Trap.mp4 15.8 MB
10. Multiple Linear Regression/5. Dummy Variable Trap.srt 3.5 KB
10. Multiple Linear Regression/6. Ways to build a model BACKWARD, FORWARD, STEPWISE.mp4 74.4 MB
10. Multiple Linear Regression/6. Ways to build a model BACKWARD, FORWARD, STEPWISE.srt 23.6 KB
10. Multiple Linear Regression/7. Backward Elimination - Practice time.mp4 131.7 MB
10. Multiple Linear Regression/7. Backward Elimination - Practice time.srt 25 KB
10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.mp4 124.7 MB
10. Multiple Linear Regression/8. Using Adjusted R-squared to create Robust models.srt 15.2 KB
10. Multiple Linear Regression/9. Interpreting coefficients of MLR.mp4 122.1 MB
10. Multiple Linear Regression/9. Interpreting coefficients of MLR.srt 18.5 KB
11. Logistic Regression/1. Intro (what you will learn in this section).mp4 34.8 MB
11. Logistic Regression/1. Intro (what you will learn in this section).srt 2.6 KB
11. Logistic Regression/2. Get the dataset.mp4 24.1 MB
11. Logistic Regression/2. Get the dataset.srt 5.6 KB
11. Logistic Regression/3. Binary outcome YesNo-Type Business Problems.mp4 56.3 MB
11. Logistic Regression/3. Binary outcome YesNo-Type Business Problems.srt 13.4 KB
11. Logistic Regression/4. Logistic regression intuition.mp4 62.9 MB
11. Logistic Regression/4. Logistic regression intuition.srt 25.3 KB
11. Logistic Regression/5. Your first logistic regression.mp4 62.2 MB
11. Logistic Regression/5. Your first logistic regression.srt 11.8 KB
11. Logistic Regression/6. False Positives and False Negatives.mp4 33.4 MB
11. Logistic Regression/6. False Positives and False Negatives.srt 11.5 KB
11. Logistic Regression/7. Confusion Matrix.mp4 15.7 MB
11. Logistic Regression/7. Confusion Matrix.srt 7.4 KB
11. Logistic Regression/8. Interpreting coefficients of a logistic regression.mp4 72 MB
11. Logistic Regression/8. Interpreting coefficients of a logistic regression.srt 14.1 KB
12. Building a robust geodemographic segmentation model/1. Intro (what you will learn in this section).mp4 22.4 MB
12. Building a robust geodemographic segmentation model/1. Intro (what you will learn in this section).srt 1.8 KB
12. Building a robust geodemographic segmentation model/10. Model is Ready and Section Recap.mp4 44.2 MB
12. Building a robust geodemographic segmentation model/10. Model is Ready and Section Recap.srt 9.2 KB
12. Building a robust geodemographic segmentation model/2. Get the dataset.mp4 89.8 MB
12. Building a robust geodemographic segmentation model/2. Get the dataset.srt 11.6 KB
12. Building a robust geodemographic segmentation model/3. What is geo-demographic segmenation.mp4 26.7 MB
12. Building a robust geodemographic segmentation model/3. What is geo-demographic segmenation.srt 7.6 KB
12. Building a robust geodemographic segmentation model/4. Let's build the model - first iteration.mp4 52.9 MB
12. Building a robust geodemographic segmentation model/4. Let's build the model - first iteration.srt 12.7 KB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.mp4 119.2 MB
12. Building a robust geodemographic segmentation model/5. Let's build the model - backward elimination STEP-BY-STEP.srt 17 KB
12. Building a robust geodemographic segmentation model/6. Transforming independent variables.mp4 65 MB
12. Building a robust geodemographic segmentation model/6. Transforming independent variables.srt 14.7 KB
12. Building a robust geodemographic segmentation model/7. Creating derived variables.mp4 52.6 MB
12. Building a robust geodemographic segmentation model/7. Creating derived variables.srt 8.6 KB
12. Building a robust geodemographic segmentation model/8. Checking for multicollinearity using VIF.mp4 96.1 MB
12. Building a robust geodemographic segmentation model/8. Checking for multicollinearity using VIF.srt 11.6 KB
12. Building a robust geodemographic segmentation model/9. Correlation Matrix and Multicollinearity Intuition.mp4 69.6 MB
12. Building a robust geodemographic segmentation model/9. Correlation Matrix and Multicollinearity Intuition.srt 11.3 KB
13. Assessing your model/1. Intro (what you will learn in this section).mp4 13.4 MB
13. Assessing your model/1. Intro (what you will learn in this section).srt 1.1 KB
13. Assessing your model/10. Section Recap.mp4 17.1 MB
13. Assessing your model/10. Section Recap.srt 5.3 KB
13. Assessing your model/2. Accuracy paradox.mp4 8.3 MB
13. Assessing your model/2. Accuracy paradox.srt 3.3 KB
13. Assessing your model/3. Cumulative Accuracy Profile (CAP).mp4 37.9 MB
13. Assessing your model/3. Cumulative Accuracy Profile (CAP).srt 16.2 KB
13. Assessing your model/4. How to build a CAP curve in Excel.mp4 146.1 MB
13. Assessing your model/4. How to build a CAP curve in Excel.srt 22.3 KB
13. Assessing your model/5. Assessing your model using the CAP curve.mp4 39.3 MB
13. Assessing your model/5. Assessing your model using the CAP curve.srt 10.4 KB
13. Assessing your model/6. Get my CAP curve template.mp4 56.6 MB
13. Assessing your model/6. Get my CAP curve template.srt 9.9 KB
13. Assessing your model/7. How to use test data to prevent overfitting your model.mp4 22.1 MB
13. Assessing your model/7. How to use test data to prevent overfitting your model.srt 5.4 KB
13. Assessing your model/8. Applying the model to test data.mp4 99.9 MB
13. Assessing your model/8. Applying the model to test data.srt 10.7 KB
13. Assessing your model/9. Comparing training performance and test performance.mp4 104.4 MB
13. Assessing your model/9. Comparing training performance and test performance.srt 16.7 KB
14. Drawing insights from your model/1. Intro (what you will learn in this section).mp4 12.2 MB
14. Drawing insights from your model/1. Intro (what you will learn in this section).srt 944 B
14. Drawing insights from your model/2. Power insights from your CAP.mp4 110.8 MB
14. Drawing insights from your model/2. Power insights from your CAP.srt 21.1 KB
14. Drawing insights from your model/3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).mp4 17.1 MB
14. Drawing insights from your model/3. Coefficients of a Logistic Regression - Plan of Attack (advanced topic).srt 5.7 KB
14. Drawing insights from your model/4. Odds ratio (advanced topic).mp4 51.3 MB
14. Drawing insights from your model/4. Odds ratio (advanced topic).srt 12.9 KB
14. Drawing insights from your model/5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).mp4 26.6 MB
14. Drawing insights from your model/5. Odds Ratio vs Coefficients in a Logistic Regression (advanced topic).srt 10.6 KB
14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).mp4 116.5 MB
14. Drawing insights from your model/6. Deriving insights from your coefficients (advanced topic).srt 20.8 KB
14. Drawing insights from your model/7. Section Recap.mp4 13.4 MB
14. Drawing insights from your model/7. Section Recap.srt 4.8 KB
15. Model maintenance/1. Intro (what you will learn in this section).mp4 13.6 MB
15. Model maintenance/1. Intro (what you will learn in this section).srt 1 KB
15. Model maintenance/2. What does model deterioration look like.mp4 30.1 MB
15. Model maintenance/2. What does model deterioration look like.srt 6.8 KB
15. Model maintenance/3. Why do models deteriorate.mp4 109 MB
15. Model maintenance/3. Why do models deteriorate.srt 24.8 KB

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