Data Science A-Z™: Real-Life Data Science Exercises Included| Programming Buddy Club | Discount Udemy Course

LEARN DATA SCIENCE STEP BY STEP THROUGH REAL ANALYTICS EXAMPLES. DATA MINING, MODELING, TABLEAU VISUALIZATION AND MORE!

Discount - Free 

• Lectures - 216 lectures
• Skill Level -Beginner Level
• Language -  English
• Published -  Last updated 6/2020
• Coupon -PROGRAMMINGBUDDYCLUB
• Instructor -
• Rating -
• Students Enrolled -

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Course Includes

• ☑️ 21 hours on-demand video

• ☑️ 6 articles

• ☑️ Full lifetime access

• ☑️ Access on mobile and TV

• ☑️ Certificate of Completion

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What Will I learn?

• ☑️ Successfully perform all steps in a complex Data Science project

• ☑️ Create Basic Tableau Visualisations

• ☑️ Perform Data Mining in Tableau

• ☑️ Understand how to apply the Chi-Squared statistical test

• ☑️ Apply Ordinary Least Squares method to Create Linear Regressions

• ☑️ Assess R-Squared for all types of models

• ☑️ Assess the Adjusted R-Squared for all types of models

• ☑️ Create a Simple Linear Regression (SLR)

• ☑️ Create a Multiple Linear Regression (MLR)

• ☑️ Create Dummy Variables

• ☑️ Interpret coefficients of an MLR

• ☑️ Read statistical software output for created models

• ☑️ Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models

• ☑️ Create a Logistic Regression

• ☑️ Intuitively understand a Logistic Regression

• ☑️ Operate with False Positives and False Negatives and know the difference

• ☑️ Read a Confusion Matrix

• ☑️ Create a Robust Geodemographic Segmentation Model

• ☑️ Transform independent variables for modelling purposes

• ☑️ Derive new independent variables for modelling purposes

• ☑️ Check for multicollinearity using VIF and the correlation matrix

• ☑️ Understand the intuition of multicollinearity

• ☑️ Apply the Cumulative Accuracy Profile (CAP) to assess models

• ☑️ Build the CAP curve in Excel

• ☑️ Use Training and Test data to build robust models

• ☑️ Derive insights from the CAP curve

• ☑️ Understand the Odds Ratio

• ☑️ Derive business insights from the coefficients of a logistic regression

• ☑️ Understand what model deterioration actually looks like

• ☑️ Apply three levels of model maintenance to prevent model deterioration

• ☑️ Install and navigate SQL Server

• ☑️ Install and navigate Microsoft Visual Studio Shell

• ☑️ Clean data and look for anomalies

• ☑️ Use SQL Server Integration Services (SSIS) to upload data into a database

• ☑️ Create Conditional Splits in SSIS

• ☑️ Deal with Text Qualifier errors in RAW data

• ☑️ Create Scripts in SQL

• ☑️ Apply SQL to Data Science projects

• ☑️ Create stored procedures in SQL

• ☑️ Present Data Science projects to stakeholders

Requirements

• ☑️ Only a passion for success

• ☑️ All software used in this course is either available for Free or as a Demo version

Who is the target audience?

• ☑️ Anybody with an interest in Data Science

• ☑️ Anybody who wants to improve their data mining skills

• ☑️ Anybody who wants to improve their statistical modelling skills

• ☑️ Anybody who wants to improve their data preparation skills

• ☑️ Anybody who wants to improve their Data Science presentation skills

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